Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

The problem isn’t the way the algorithm was designed, but their use in the welfare system, says Soizic Pénicaud, a lecturer in AI policy at Sciences Po Paris, who previously worked for the ...

The AI-assisted, plug-in hybrid system will improve efficiency to extend the usage of both the engine and the battery pack.

For example, in late December Stanford Medical Center’s misallocation of covid-19 vaccines was blamed on a distribution “algorithm” that favored high-ranking administrators over frontline ...

The AlphaDev system developed x86 assembly algorithms that treated the latency of the code as a score and tried to minimize that score while ensuring that the code ran to completion without errors.

Predicting dangerous tipping points in complex systems has proven to be a headache for scientists. Now, a new AI system could ...

These kinds of adversarial examples are considered less threatening, because they don’t closely resemble the real world, where an attacker wouldn’t have access to a proprietary algorithm. For ...

There are additional risks and challenges such as system failure risks, network connectivity errors, time lags between trade orders and execution, and, most important of all, imperfect algorithms.

DeepMind details new AI system for developing algorithms ... “For example, if the traditional algorithm taught in school multiplies a 4×5 by 5×5 matrix using 100 multiplications, ...

A health care algorithm makes black patients substantially less likely than their white counterparts to receive important medical treatment. The major flaw affects millions of patients, and was ...