Neuroevolution: A different kind of deep learning
The quest to evolve neural networks through evolutionary algorithms.
The quest to evolve neural networks through evolutionary algorithms.
A demonstration of basic reinforcement learning problems.
Conversational Data Science, L3 Autonomy, Human Computation, and Embedded Learning
It's time to stop cursing the network we have and build the network we want.
Net Neutrality, Scaling with Erlang, Matrix Cookbook, API Security
Brain Residency, Future of Work, Customer Feedback, and Verifying Distributed Systems
A new architecture for today’s data-rich modern applications.
Multics Emulated, Physics Explained, DRM Vilified, and Lisp in Convenient Notebook Form
Nanotube Computing, Civil Service Code, Ghastly Management, and Eminence-Induced Warpage
Mobile Testing, Semantic Segmentation, Salary Gossip, and Word Analogies
Network Mathematics, Learning Math, Open Source Q&A, and Australian Privacy
Retro Fonts, AI Research, Mind Reading, and Prototyping Tool
Robot Academy, Wikipedia Adventure, PR Science, and Complexity and Planning
Jumping Robot, Exactly Once, Pocket Negotiator, and Science-Based Games
Doug Eck discusses Magenta, a Google Brain project aimed at developing new machine learning models for art and sound creation.
Anca Dragan introduces a mathematical formulation that accounts for cars responding to people and people responding to cars.
Tuomas Sandholm explains how domain-independent algorithms are being applied to a variety of imperfect-information games, like poker.
The workflow of the AI researcher has been quite different from the workflow of the software developer. Peter Norvig explores how the two can come together.