Four short links: 10 September 2018
Optoelectronics, Checked C, MagicScroll, Quantum AWS
Optoelectronics, Checked C, MagicScroll, Quantum AWS
Hagay Lupesko explores key trends in machine learning, the importance of designing models for scale, and the impact that machine learning innovation has had on startups and enterprises alike.
Huma Abidi discusses the importance of optimization to deep learning frameworks.
Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.
Peter Norvig says one of the most exciting aspects of AI is the diversity of applications in fields far astray from the original breakthrough areas.
David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.
Quantifying Facebook, Deep Learning IDE, REPL + Debugger, and RPC Library
Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.
Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.
Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.
Greg Brockman discusses OpenAI's recent advancements and their implications for how we should plan for creating safe artificial general intelligence (AGI).
Kai-Fu Lee outlines the factors that enabled China's rapid ascension in AI.
Tim O'Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.
BS in AI, Visual Exploration, Bad Predictions, and USB-C Development
Ben Lorica and Roger Chen provide a glimpse into tools and trends poised to accelerate AI innovation.
Atomic Receiver, Nerdery as AR, Open Access, and Journey Maps
New Hardware, Image Discovery, Interactive SQL, and Fooling Object Detection
Detecting Skimmers, Forecasting, The Quantum Race, and USB C