Article List
Explore latest news, discover interesting content, and dive deep into topics that interest you
Jeremy Howard — The Simple but Profound Insight Behind Diff…
Jeremy explains diffusion, shares his thoughts on large models, revisits the debate between Python and Julia, and talks about his scientific advocacy...
Jerome Pesenti — Large Language Models, PyTorch, and Meta
Jerome discusses the current advances around large language models and shares some stories about his time as VP of AI at Meta, including leading the t...
D. Sculley — Technical Debt, Trade-offs, and Kaggle
D. dives into some of the potential pitfalls of model development and explains the roles that Kaggle plays in the machine learning community....
Emad Mostaque — Stable Diffusion, Stability AI, and What’s …
Emad shares the story and mission behind Stability AI, a startup and network of decentralized developer communities building open AI tools....
Jehan Wickramasuriya — AI in High-Stress Scenarios
Jehan discusses applications for AI in public safety and enterprise security...
Will Falcon — Making Lightning the Apple of ML
Will explores Lightning's journey from undergrad project to Series B startup...
Aaron Colak — ML and NLP in Experience Management
Aaron explains how Qualtrics uses machine learning for the enrichment of experience management, discusses the strength and speed of the current NLP ec...
Reflecting on Towards Evaluating the Robustness of Neural N…
I recently got back from attending USENIX Security 2022, and someone pointed out to me that it's been five years since I wrote Towards Evaluating the...
Jordan Fisher — Skipping the Line with Autonomous Checkout
Jordan explains how Standard AI uses machine learning to track products and customers in challenging retail environments...
Drago Anguelov — Robustness, Safety, and Scalability at Way…
Drago discusses current trends in autonomous driving technology, the challenges of simulation and scalability, and why it's important to find rare exa...
James Cham — Investing in the Intersection of Business and …
James explains what investing in "the future of work" means, the importance of demystifying ML and making it more accessible, and how new technologies...
Rapid Iteration in Machine Learning Research
A brief discussion about a tool I use to make rapid iteration in ML research possible....
Tristan Handy — The Work Behind the Data Work
Tristan explains the rise of the modern data stack, how dbt makes data transformation easier, and why SQL is still so popular....
Johannes Otterbach — Unlocking ML for Traditional Companies
Johannes talks about quantum computing, the state of the ML tools ecosystem today, and the challenges of developing and deploying models for customers...
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Mircea explains how machine learning unlocks the next level of potential for robotic process automation (RPA) and how ML teams differ from engineering...
A Case of Plagarism in Machine Learning Research
A recent paper ('A Roadmap for Big Model') has copied a bunch of text from over a dozen prior papers. This is bad....
Amelia & Filip — How Pandora Deploys ML Models into Product…
Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in prod...
Wojciech Zaremba — What Could Make AI Conscious?
Wojciech joins us to talk the principles behind OpenAI, the Fermi paradox, and the future stages of developments in AGI....