Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...

The idea is to let software continuously profile the data itself, learn what normal looks like and flag deviations without a ...

I am continuing to study machine learning on Kaggle, an online platform for data analysis and machine learning. I ...

Dopaminergic signaling in the nucleus accumbens (NAc) is central to reward-based learning, but its relationship to brain-wide ...

Artificial intelligence is reshaping regulatory and environmental law practice far beyond contract automation, enabling real-time regulatory monitoring, satellite-based environmental enforcement and ...

A simple way of giving coding agents institutionalized smart-contract knowledge before they write or contribute to your smart ...

Tohoku University researchers propose a framework called Physics-Grounded Materials AI that embeds thermodynamic, kinetic, ...

The Illusion Divide: When exposed to a motion aftereffect, human observers perceive a stationary object as shifted in the opposite direction. Primate inferior temporal (IT) cortex neurons mirrored ...

How RFID and machine learning stop tool theft on construction sites, cutting $1 billion in annual losses through digital perimeters and predictive AI.

Specializing in generative AI and AI-agent systems, his work focuses on three practical factors that determine whether an ...

Many animals benefit from microbial symbionts that aid digestion, supply essential nutrients, or provide defense. When this ...

RNA vaccines, which have been proven effective against Covid-19, are now being developed for many other diseases, including ...