Sitemap - 2022 - The Gradient
The Gradient Podcast: 2022 Roundup
Mini-Update #7: Stable Diffusion 3 Policy and data2vec 2.0
Update #39: Uber's Faulty Facial Recognition in India and The First Learning on Graphs Conference
Melanie Mitchell: Abstraction and Analogy in AI
Mini Update #6: SF Reverses Lethal Robot Plan and ChatGPT
Marc Bellemare: Distributional Reinforcement Learning
Update #38: Lethal Robots in SF and CICERO (w/ co-author Hugh Zhang)
Learning to Make the Right Mistakes - a Brief Comparison Between Human Perception and Multimodal LMs
François Chollet: Keras and Measures of Intelligence
Mini Update #5: NVIDIA/Microsoft Partnership and Magic3D
Update #37: ICLR Reviews Get Spicy and How Much Attention Actually Attends
Yoshua Bengio: The Past, Present, and Future of Deep Learning
Kanjun Qiu and Josh Albrecht: Generally Intelligent
Mini Update #4: Google's Location Tracking and the ESM Metagenomic Atlas
Nathan Benaich: The State of AI Report
Gradient Update #36: Argo AI shuts down and Convolutions are great for sequence modeling
Announcing Sigmoid Social, a Twitter Alternative by and for the AI Community
Matt Sheehan: China's AI Strategy and Governance
Mini Update #3: Meta's New Speech Translation System and Guiding Formal Theorem Provers
Update #35: AI Bill of Rights and Unifying Language Learning Paradigms
Mini Update #2: 2022 State of AI Report Released, AlphaTensor
Zachary Lipton: Where Machine Learning Falls Short
Update #34: Text-to-Video and ICLR Highlights
Stuart Russell: The Foundations of Artificial Intelligence
Mini-Update #1: Whisper and Human Motion Diffusion
Varun Ganapathi: AKASA, AI and Healthcare
Update #33: Meta Oversight Board Cases and Symmetries + Loss Basins in Neural Networks
Artificial Intelligence and the Future of Demos
Joel Lehman: Open-Endedness and Evolution through Large Models
Andrew Feldman: Cerebras and AI Hardware
Update #32: Chips can't go to China and Cold Diffusion
Christopher Manning: Linguistics and the Development of NLP
New perks for paying subscribers + give-away!
Causal Inference: Connecting Data and Reality
Chat with the Gradient Editors Event Today!
Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity
Update #31: Expectations for AI + Healthcare and 8-bit Quantization
Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers
Article Early Access | Causal Inference: Connecting Data and Reality
The Future of Speech Recognition: Where Will We Be in 2030?
Been Kim: Interpretable Machine Learning
Article Early Access | The Future of Speech Recognition: Where Will We Be in 2030?
Gradient Update #31: Autonomous Driving in 2022 and Transformers Learning In-Context
Join the new Gradient Discord!
Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models
Gradient Update #30: AI Art and Reliable Pretrained Language Models
Symmetries, Scaffolds, and a New Era of Scientific Discovery
Sebastian Raschka: AI Education and Research
Article Early Access | Symmetries, Scaffolds, and a New Era of Scientific Discovery
Overview of Graph Theory and Alzheimer's Disease
Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap
Gradient Update #29: No Language Left Behind and Democratized Transformer Training
Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs
Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases
Gradient Update #28: China's Surveillance State and CVPR Best Paper
Chip Huyen: Machine Learning Tools and Systems
Preetum Nakkiran: An Empirical Theory of Deep Learning
Gradient Update #27: Face Search Engine or Stalkerware? And a New LLM Benchmark
Max Woolf: Data Science at BuzzFeed and AI Content Generation
Lessons from the GPT-4Chan Controversy
Rosanne Liu: Paths in AI Research and ML Collective
Gradient Update #26: Facial Recognition in the Real World and Large Language Model Advances
Announcing the Winners of the 2nd Gradient Prize!
AI is Ushering In a New Scientific Revolution
Ben Green: "Tech for Social Good" Needs to Do More
Working on the Weekends - an Academic Necessity?
Max Braun: Teaching Robots to Help People in their Everyday Lives
Gradient Update #25: Algorithmic Child Neglect Screening and A Generalist Agent
Yejin Choi: Teaching Machines Common Sense and Morality
Lessons From Deploying Deep Learning To Production
David Chalmers on AI and Consciousness
Gradient Update #24: Robotaxis in Beijing and a Multi-task Visual Language Model
Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networks
Greg Yang on Communicating Research, Tensor Programs, and µTransfer
Gradient Update #23: DALL-E 2 and Grounding Language in Robotic Affordances
AI Startups and the Hunt for Tech Talent in Vietnam
Gradient Update #22: Turing Award for High Performance Computing, Finding Bugs in Games with CLIP
New Technology, Old Problems: The Missing Voices in Natural Language Processing
Gradient Update #21: Russia's AI-powered Drones and RB2
Nick Walton on AI Dungeon and the Future of AI in Games
Gradient Update #20: New Chinese Regulations, DeepNet
Gradient Update #19: Woes of the IRS, Deep RL in Nuclear Fusion
One Voice Detector to Rule Them All
How Aristotle is Fixing Deep Learning's Flaws
Gradient Update #18: DeepMind's AlphaCode is an Average Programmer, Bellman Error is bad for RL
How AI is Changing Chemical Discovery
Suggestions for people to interview on the podcast or things to cover on The Update
How AI is Changing Chemical Discovery
Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment
Article Early Access | Engaging with Disengagement
Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility
The Gradient Update #16: China's World-leading Surveillance Research and a ConvNet for the 2020s
A Science Journalist’s Journey to Understand AI
Eric Jang on Robots Learning at Google and Generalization via Language