Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Interesting Engineering

Scientists show predictable training can outperform complex robot learning data

Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.

The Hidden Algorithms Of The Natural World

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...
Searchenginejournal.com

PPC Automation Layering: How Smart Advertisers Combine Automation With Strategy

Learn how PPC automation layering combines Smart Bidding, scripts, AI tools, and human strategy to improve campaign efficiency, oversight, and long-term performance. Automation has been part of PPC ...
ZDNet

I took Harvard's free online coding classes to better catch AI's errors - and they're legit

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...
Nature

Computational structure prediction protocols

To celebrate the 2024 Nobel Prize in Chemistry awarded for computational protein design and protein structure prediction, we have compiled a selection of our Protocols and Tutorials showcasing the ...