Practical AI (Practical AI LLC)
Explorez tous les épisodes de Practical AI
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|---|---|---|---|
| 08 Mar 2025 | Build a workspace of AI agents | 00:47:39 | |
How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own. Featuring:
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| 02 Apr 2025 | Software and hardware acceleration with Groq | 00:43:24 | |
How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. Featuring:
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| 21 Mar 2025 | AI-assisted coding with GitHub's COO | 00:50:04 | |
Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. Featuring:
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| 07 Jul 2020 | The ins and outs of open source for AI | 00:47:18 | |
Daniel and Chris get you Fully-Connected with open source software for artificial intelligence. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors:
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| 14 Jul 2020 | Practical AI Ethics | 00:52:31 | |
The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics! Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 20 Jul 2020 | MLOps and tracking experiments with Allegro AI | 00:51:09 | |
DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called Trains. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 27 Jul 2020 | 🤗 All things transformers with Hugging Face | 00:46:44 | |
Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 03 Aug 2020 | Attack of the C̶l̶o̶n̶e̶s̶ Text! | 00:48:01 | |
Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks! Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 11 Aug 2020 | Practical AI turns 100!!! 🎉 | 01:09:54 | |
We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from The Changelog helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!) Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 17 Aug 2020 | Building the world's most popular data science platform | 00:59:13 | |
Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 24 Aug 2020 | Hidden Door and so much more | 00:56:04 | |
Hilary Mason is building a new way for kids and families to create stories with AI. It’s called Hidden Door, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena. Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom! Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 01 Sep 2020 | Getting Waymo into autonomous driving | 01:00:36 | |
Waymo’s mission is to make it safe and easy for people and things to get where they’re going. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 09 Sep 2020 | Speech tech and Common Voice at Mozilla | 00:58:31 | |
Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 14 Sep 2020 | When AI goes wrong | 00:58:49 | |
So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 21 Sep 2020 | Learning about (Deep) Learning | 00:53:18 | |
In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 06 Oct 2020 | R, Data Science, & Computational Biology | 00:54:09 | |
We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 13 Oct 2020 | Productionizing AI at LinkedIn | 00:55:01 | |
Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 20 Oct 2020 | When data leakage turns into a flood of trouble | 00:48:28 | |
Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 26 Oct 2020 | Reinforcement Learning for search | 00:47:04 | |
Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes:
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| 09 Nov 2020 | Killer developer tools for machine learning | 00:50:41 | |
Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 17 Nov 2020 | Building a deep learning workstation | 00:49:28 | |
What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again). Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 24 Nov 2020 | A casual conversation concerning causal inference | 00:51:28 | |
Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume). Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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Practical AI is a “Media Sponsor” of the R Conference | Government & Public Sector, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title. This will be the first ever R Conference focused on data science work in government, defense, and the public sector. Practical AI listeners get a special discount code valid for 20% off all ticket types, General & Academic Admission and workshops: PRACTICALAI20 Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 01 Dec 2020 | The world's largest open library dataset | 00:43:59 | |
Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 07 Dec 2020 | From research to product at Azure AI | 00:49:01 | |
Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 21 Dec 2020 | Getting in the Flow with Snorkel AI | 00:46:57 | |
Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 11 Jan 2021 | The $1 trillion dollar ML model 💵 | 00:48:41 | |
American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 19 Jan 2021 | Accelerating ML innovation at MLCommons | 00:51:11 | |
MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization. In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube). Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 26 Jan 2021 | The nose knows | 00:54:59 | |
Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode! Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 30 Mar 2021 | Women in Data Science (WiDS) | 00:56:47 | |
Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 14 Dec 2020 | Engaging with governments on AI for good | 00:25:35 | |
At this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy! The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: The Government & Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at rstats.ai, twitter.com/rstatsnyc and twitter.com/rstatsdc. Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 02 Feb 2021 | Cooking up synthetic data with Gretel | 00:47:37 | |
John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts. Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 16 Feb 2021 | The AI doc will see you now | 00:46:06 | |
Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for the transformative future of AI in medicine clearly soothes Chris’s concern about managing his aging body in the years to come. ;-) Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 23 Feb 2021 | Low code, no code, accelerated code, & failing code | 00:48:21 | |
In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game! Changelog++ members get a bonus 3 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 02 Mar 2021 | Green AI 🌲 | 01:00:13 | |
Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient. Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 09 Mar 2021 | Deep learning technology for drug discovery | 00:57:12 | |
Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases! Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 23 Mar 2021 | Recommender systems and high-frequency trading | 00:43:23 | |
David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading! Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 06 Apr 2021 | Next-gen voice assistants | 00:50:49 | |
Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time! Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 13 Apr 2021 | Going full bore with Graphcore! | 00:44:29 | |
Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 20 Apr 2021 | Data science for intuitive user experiences | 00:52:59 | |
Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 27 Apr 2021 | Mapping the world | 00:53:11 | |
Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 04 May 2021 | Generating "hunches" using smart home data 🏠 | 00:42:43 | |
Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.” Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 11 May 2021 | 25 years of speech technology innovation | 00:42:41 | |
To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join us for a discussion about human computer interaction, multimodal AI tasks, the history of language modeling, and AI for social good. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 18 May 2021 | Apache TVM and OctoML | 00:49:07 | |
90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 26 May 2021 | Elixir meets machine learning | 01:01:54 | |
Today we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 01 Jun 2021 | The fastest way to build ML-powered apps | 00:43:14 | |
Tuhin Srivastava tells Daniel and Chris why BaseTen is the application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 08 Jun 2021 | Learning to learn deep learning 📖 | 00:43:51 | |
Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 15 Jun 2021 | Multi-GPU training is hard (without PyTorch Lightning) | 00:46:26 | |
William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop. Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 22 Jun 2021 | Vector databases for machine learning | 00:42:37 | |
Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 13 Jul 2021 | From symbols to AI pair programmers 💻 | 00:48:38 | |
How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning). Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 20 Jul 2021 | Towards stability and robustness | 00:48:32 | |
9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 27 Jul 2021 | Building a data team | 00:45:41 | |
Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 03 Aug 2021 | AI is creating never before heard sounds! 🎵 | 00:45:04 | |
AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 17 Aug 2021 | NLP to help pregnant mothers in Kenya | 00:44:11 | |
In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 10 Aug 2021 | SLICED - will you make the (data science) cut? | 00:48:05 | |
SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 24 Aug 2021 | Exploring a new AI lexicon | 00:44:26 | |
We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 01 Sep 2021 | Anaconda + Pyston and more | 00:43:03 | |
In this episode, Peter Wang from Anaconda joins us again to go over their latest “State of Data Science” survey. The updated results include some insights related to data science work during COVID along with other topics including AutoML and model bias. Peter also tells us a bit about the exciting new partnership between Anaconda and Pyston (a fork of the standard CPython interpreter which has been extensively enhanced to improve the execution performance of most Python programs). Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors:
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| 07 Sep 2021 | Stellar inference speed via AutoNAS | 00:42:15 | |
Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it! Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 14 Sep 2021 | Trends in data labeling | 00:44:39 | |
Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 21 Sep 2021 | From notebooks to Netflix scale with Metaflow | 00:47:34 | |
As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 28 Sep 2021 | Balancing human intelligence with AI | 00:42:26 | |
Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see here for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 05 Oct 2021 | The mathematics of machine learning | 00:38:04 | |
Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before! Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 12 Oct 2021 | Federated Learning 📱 | 00:45:18 | |
Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 19 Oct 2021 | 🌍 AI in Africa - Makerere AI Lab | 00:43:19 | |
This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 26 Oct 2021 | Eureka moments with natural language processing | 00:36:35 | |
When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 02 Nov 2021 | Photonic computing for AI acceleration | 00:44:21 | |
There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 10 Nov 2021 | Analyzing the 2021 AI Index Report | 00:46:15 | |
Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 24 Nov 2021 | Zero-shot multitask learning | 00:46:19 | |
In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources. Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 30 Nov 2021 | AI-generated code with OpenAI Codex | 00:46:37 | |
Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally. Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 02 Dec 2021 | Technology as a force for good | 00:25:36 | |
Here’s a bonus episode this week from our friends behind Me, Myself, and AI — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast. We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: Subscribe to Me, Myself, and AI on Apple Podcasts, Spotify, or Google Podcasts. Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 07 Dec 2021 | Friendly federated learning 🌼 | 00:46:35 | |
This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI. Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 14 Dec 2021 | OpenAI and Hugging Face tooling | 00:50:34 | |
The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team. Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 05 Jan 2022 | 🌍 AI in Africa - Radiant Earth | 00:43:07 | |
In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 11 Jan 2022 | Eliminate AI failures | 00:41:40 | |
We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 19 Jan 2022 | Democratizing ML for speech | 00:44:50 | |
You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 25 Jan 2022 | The world needs an AI superhero | 00:43:18 | |
From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 01 Feb 2022 | Exploring deep reinforcement learning | 00:41:22 | |
In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 09 Feb 2022 | 🌍 AI in Africa - Voice & language tools | 00:43:37 | |
In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 15 Feb 2022 | One algorithm to rule them all? | 00:44:55 | |
From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 01 Mar 2022 | Deploying models (to tractors 🚜) | 00:50:56 | |
Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 08 Mar 2022 | Creating a culture of innovation | 00:52:05 | |
Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers. Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 16 Mar 2022 | Clothing AI in a data fabric | 00:46:08 | |
What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 23 Mar 2022 | "Foundation" models | 00:41:27 | |
The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportunities and Risks of Foundation Models. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 29 Mar 2022 | It's been a BIG week in AI news 🗞 | 00:41:17 | |
This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode! Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 05 Apr 2022 | Quick, beautiful web UIs for ML apps | 00:42:09 | |
Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models. Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors:
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| 19 Apr 2022 | 🌍 AI in Africa - Agriculture | 00:51:13 | |
In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 26 Apr 2022 | MLOps is NOT Real | 00:45:57 | |
We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge. Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors:
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| 03 May 2022 | Learning the language of life | 00:47:58 | |
AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors:
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| 17 May 2022 | Active learning & endangered languages | 00:49:10 | |
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 31 May 2022 | 🤗 The AI community building the future | 00:47:12 | |
Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you! Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 07 Jun 2022 | Generalist models & Iceman's voice | 00:40:34 | |
In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie). Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: DeepMind’s Gato: Iceman’s voice in Top Gun: Responsible AI review processes: From a developer’s point of view Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 14 Jun 2022 | Digital humans & detecting emotions | 00:42:10 | |
Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: Digital Humans videos: Virtual Learning Buddy teaching kids to read: Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 22 Jun 2022 | Machine learning in your database | 00:49:05 | |
While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss! Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 28 Jun 2022 | AI's role in reprogramming immunity | 00:48:48 | |
Drausin Wulsin, Director of ML at Immunai, joins Daniel & Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases. The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology. To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 12 Jul 2022 | Cloning voices with Coqui | 00:51:45 | |
Coqui is a speech technology startup that making huge waves in terms of their contributions to open source speech technology, open access models and data, and compelling voice cloning functionality. Josh Meyer from Coqui joins us in this episode to discuss cloning voices that have emotion, fostering open source, and how creators are using AI tech. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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| 19 Jul 2022 | DALL-E is one giant leap for raccoons! 🔭 | 00:40:50 | |
In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to? Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes:
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| 26 Jul 2022 | The geopolitics of artificial intelligence | 00:46:11 | |
In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: Source articles for our conversation
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| 02 Aug 2022 | AI IRL & Mozilla's Internet Health Report | 00:42:44 | |
Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes: Something missing or broken? PRs welcome! ★ Support this podcast ★ | |||
| 09 Aug 2022 | AlphaFold is revolutionizing biology | 00:45:10 | |
AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes:
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| 16 Aug 2022 | CMU's AI pilot lands in the news 🗞 | 00:41:26 | |
Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight). Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring: Show Notes:
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| 24 Aug 2022 | Practical, positive uses for deep fakes | 00:43:15 | |
Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications. Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Featuring:
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