Fit and value: The business case for blockchain
Blockchains are poised to catalyze new business models by cutting the costs of verifying truth.
All Articles
Four short links: 23 September 2019
Good at Operations, Neural Speech Recognition, Cryptocurrency Abuses, and Compiler Tools for ML
Four short links: 20 September 2019
Free Faces, Cultural Distance, Connected Pacific, and Number Munger
Four short links: 19 September 2019
Boring Technology, YouTube's Procella, Hong Kong Protest Tech, and Personas
Four short links: 18 September 2019
Topology, VC Buds, ImageNet Roulette, and Social Science One
Four short links: 17 September 2019
Trust in Assistants, Cache your CI's Dependencies, Reproducibility Checklist, and False Positives
Four short links: 16 September 2019
Decentralized Challenges, D3 Deconstructor, Text Extraction, and The Great Reckoning
Radar trends to watch: September 2019
We’re tracking notable developments in the democratization of AI, open source supply chain attacks, brain-computer interfaces, and more.
Four short links: 13 September 2019
Attacking NLPs, Data Kit, Quantum Computing and Computation, and What-If Question Archive
Safe and smarter driving, powered by AI
Lei Pan explores how Nauto uses AWS to continually evolve smarter data for driver behavior.
On gradient-based methods for finding game-theoretic equilibria
Michael Jordan details several recent results that blend gradient-based methodology with game-theoretic goals.
Accelerate with purpose
Ananth Sankaranarayanan discusses three three key shifts in the AI landscape, how to navigate them, and when to explore hardware acceleration.
Practical insights into deep reinforcement learning
Sahika Genc dives deep into state-of-the-art techniques in deep reinforcement learning for a variety of use cases.
Open-endedness: A new grand challenge for AI
Kenneth Stanley discusses how open-ended algorithms can offer an entirely different level of automated creation.
Four short links: 12 September 2019
Bayesian Philosophy, Combining Features, Quantum INTERCAL, and Universal Decay of Memory
AI for ophthalmology: Doing what doctors can’t
Daniel Russakoff discusses how AI is being used to predict age-related macular degeneration progression.
Enabling AI’s potential through wafer-scale integration
Andrew Feldman discusses the Wafer Scale Engine, the largest chip ever built.
Getting from A to AI
Eric Gardner shares a four-step journey that all kinds of organizations can use to evaluate their unique paths from data to insights.