In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and how they might change the manufacturing landscape..

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Rydberg atoms are atoms with one or more outer electrons excited to very high energy levels, which interact very strongly with each other. These atoms are widely used to run quantum simulations and ...

A research team from the Shenyang Institute of Automation, Chinese Academy of Sciences, together with Peking University and collaborating ...

Innatera announced that it has selected Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, smart home devices, and digital twin industrial sensors ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

According to Payne, the models escalated to the point of tactical nuclear war in 95 percent of scenarios, noting that nuclear threats to each other were far more likely to escalate than de-escalate ...

Give the tool a prompt—an image, say, or a brief snippet of text—and it will generate an interactive world for the user to explore. Type in a straightforward request, and the result is a realistic ...

Nvidia has released DreamDojo, an open-source world model trained on 44,000 hours of human video that lets robots learn ...

This study reports a model of 8 somatosensory areas of the rat cortex consisting of 4.2 million morphologically and electrically detailed neurons. The authors carry out simulation experiments aimed at ...