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. Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: Me, Myself, and AI – A pod...
Jan 05, 2022•43 min•Ep. 162
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. Join the discussion Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors: RudderStack – Smart cust...
Dec 14, 2021•51 min•Ep. 161
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. Join the discussion Changelog++ members save 4 m...
Dec 07, 2021•47 min•Ep. 160
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...
Dec 02, 2021•26 min
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. Join the discussion Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today! Sponsors: RudderStack – Smart customer data pipeline made ...
Nov 30, 2021•47 min•Ep. 159
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...
Nov 24, 2021•46 min•Ep. 158
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. Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors...
Nov 10, 2021•46 min•Ep. 157
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. Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors: Fast...
Nov 02, 2021•44 min•Ep. 156
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. Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors: Fastly – Our bandwidth partner. Fastly powers fast...
Oct 26, 2021•37 min•Ep. 155
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. Join the discussion Changelog++ m...
Oct 19, 2021•43 min•Ep. 154
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. Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors: RudderStack – Smart custom...
Oct 12, 2021•45 min•Ep. 153
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! Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today! Sponsors: RudderSt...
Oct 05, 2021•38 min•Ep. 152
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. Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join ...
Sep 28, 2021•42 min•Ep. 151
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. Join the discussion Changelo...
Sep 21, 2021•48 min•Ep. 150
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. Join the discussion Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors: RudderStack – Smart custome...
Sep 14, 2021•45 min•Ep. 149
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! Join the discussion Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors: RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart cust...
Sep 07, 2021•42 min•Ep. 148
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). Join the discu...
Sep 01, 2021•43 min•Ep. 147
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. Join the discussion Changelog++ members save 2 minutes on this episode because the...
Aug 24, 2021•44 min•Ep. 146
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 th...
Aug 17, 2021•44 min•Ep. 145
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. Join the discussion Changelog++ members get a bonus 2 minutes at the end of this episode and zero a...
Aug 10, 2021•48 min•Ep. 144
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. Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join tod...
Aug 03, 2021•45 min•Ep. 143
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. Join the discussion Changelog++ members save 2 minutes on this episode because they made th...
Jul 27, 2021•46 min•Ep. 142
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. Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: PSSC Labs – Solutions from PSSC Labs provide a cost eff...
Jul 20, 2021•49 min•Ep. 141
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). Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: PSSC Labs – Solutions from PSSC Labs provi...
Jul 13, 2021•49 min•Ep. 140
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. Join the discussion Changelog++ members save 3 minutes on this episode because the...
Jun 22, 2021•43 min•Ep. 139
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 tr...
Jun 15, 2021•46 min•Ep. 138
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. Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: ...
Jun 08, 2021•44 min•Ep. 137
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. Join the discussion Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors: O'Reilly Media – Learn by doing — Python, data, AI, machine learning...
Jun 01, 2021•43 min•Ep. 136
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...
May 26, 2021•1 hr 2 min•Ep. 135
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. Join the discussion Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors: O'Reilly Media – Learn ...
May 18, 2021•49 min•Ep. 134
