Advanced Lessons

Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559

In defense of the "gentrification building"

7 Landing Page Ideas To Test

Follow this roadmap to become an AI expert in 2022 👩‍💻 #programming #technology #software

Artificial Gamer - Live Stream of CS50x Movie Night, followed by Q&A

Oliver Roeder | Seven Games: A Human History | Talks at Google

Adobe's New Method: Stunning Creatures... Even Cheaper! 👾

Peter & Boris — Fine-tuning OpenAI's GPT-3

Artificial Gamer - Trailer for CS50x Movie Night* 2022

¡AlphaCode de DeepMind APRENDE a PROGRAMAR... y también A COMPETIR!

The Mathematics of Surviving Zombies - Numberphile

Win $50k for Solving a Single AI Problem? #Shorts

Research talk: Maia Chess: A human-like neural network chess engine

Research talk: Safe reinforcement learning using advantage-based intervention

Automatically Analyze Tracked URLs with Performance Metrics

What Would It Actually Take for Humans to Hibernate?

R:ETRO webinar - Care in Management

Research talk: Reinforcement learning with preference feedback

Keynote: ReduNet: Deep (convolutional) networks from the principle of rate reduction

Closing remarks: Towards Human-Like Visual Learning and Reasoning

Research talks: Generalization and adaptation

Research talks: Few-shot and zero-shot visual learning and reasoning

Research talks: Learning for interpretability

Opening remarks: Towards Human-Like Visual Learning and Reasoning

Research talk: AI for drug discovery

Research talks: Software supply chain security

Lightning talks: Augmented Mathematical Intelligence

Research talk: Torchy: A tracing JIT compiler for PyTorch

Research talks: Showcasing health equity, access, and resilience collaborations

Research talk: Post-contextual-bandit inference

Research talk: Causal learning: Discovering causal relations for out-of-distribution generalization

Mark Mattson | The Intermittent Fasting Revolution | Talks at Google

Research talk: Towards bridging between legal and technical approaches to data protection

Keynote: Unlocking exabytes of training data through privacy preserving machine learning

Panel: Maximizing benefits and minimizing harms with language technologies

Research talk: Closing the loop in natural language interfaces to relational databases

Closing remarks: Cloud Intelligence/AIOps

Research talk: Optimizing the cloud supply chain

Research talk: An intelligent data-driven paradigm towards cloud reliability

Talk: Multidimensional analysis of cloud-native software based on large-scale operation data

Opening remarks: Cloud Intelligence/AIOps

Roundtable discussion: Efficient and adaptable large-scale AI

Research talk: Prompt tuning: What works and what's next

Research talk: When climate is everything, all systems must change

Research talk: Computationally efficient large-scale AI

Research talk: Towards data-efficient machine learning with meta-learning

Research talk: Resource-efficient learning for large pretrained models

Research talk: Transformer efficiency: From model compression to training acceleration