Daniel Whitenack
Appears in 303 Episodes
Learning the language of life
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 t...
MLOps is NOT Real
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 mod...
๐ AI in Africa - Agriculture
In the fourth โAI in Africaโ spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a...
Quick, beautiful web UIs for ML apps
Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. Whatโs Gradio? The fastest way to demo your machine le...
It's been a BIG week in AI news ๐
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 โHopperโ GPUs...
"Foundation" models
The term โfoundationโ model has been around since about the middle of last year when a research group at Stanford published the comprehensive report On the Opportuniti...
Clothing AI in a data fabric
What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively ...
Creating a culture of innovation
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...
Deploying models (to tractors ๐)
Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000โs of models a year that get deployed to Kubernetes clusters on tracto...
One algorithm to rule them all?
From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebookโs first high-performance self-supervised algorithm that work...
๐ AI in Africa - Voice & language tools
In the third of the โAI in Africaโ spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Ka...
Democratizing ML for speech
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...
Eliminate AI failures
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 ...
๐ AI in Africa - Radiant Earth
In the second of the โAI in Africaโ spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimp...
OpenAI and Hugging Face tooling
The time has come! OpenAIโs 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 ...
Friendly federated learning ๐ผ
This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a โfriendlyโ federated ...
AI-generated code with OpenAI Codex
Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAIโs Codex model. In this episode, Natalie Pistunovich tells us all about Code...
Zero-shot multitask learning
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 fr...
Analyzing the 2021 AI Index Report
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 ...
Photonic computing for AI acceleration
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 s...