Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Sakana AI's PC-ALM adds per-layer Lagrange multipliers to predictive coding, matching backprop and training 1000-layer networks locally.

The barrier to entry for learning artificial intelligence has never been lower, but the signal-to-noise ratio has never been worse. With thousands of "AI bootcamps" promising to teach you everything ...

Available online and on campus, the Master of Science in Applied Data Analytics (MSADA) at Boston University’s Metropolitan College (MET) is a hands-on program that exposes you to various database ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...

Last month, a founder I mentor sent me a screenshot of his OpenAI billing dashboard. The number was $2,847. For a single month. For a two-person startup. His product was barely in beta! I have been ...

[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...

Machine learning is a branch of AI focused on building computer systems that learn from data. The breadth of ML techniques enables software applications to improve their performance over time. ML ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A critical bottleneck for the training of large neural networks (NNs) is communication ...