Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

Though moviegoers certainly have an appetite for franchise slop these days, it’s a stretch to say that they’d be willing to bite down on wholly AI-generated movies just yet. Even more of a stretch: ...

“We see no possible way this could go wrong,” wrote the Jurassic World account on X, in tongue-in-cheek response to the news. Most experts USA TODAY spoke with agreed that attempts to de-extinct ...

This repository contains some MATLAB code, aiming to calculate the Bethe Approximation, Sinkhorn Approximation and their corresponding Degree M Permanent. Figures in #results explore the relationship ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all. Tech companies have been ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The partial Hessian approximation is often used in vibrational analysis of quantum ...

ABSTRACT: Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating ...

I’ve been on a book tour for the last few weeks, speaking around the country, and one of the questions I get asked most often isn’t about my book at all but along the lines of: What should I think of ...

Abstract: The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power from such systems, maximum power point tracking (MPPT) ...