Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

A new technical paper titled “Leveraging Qubit Loss Detection in Fault-Tolerant Quantum Algorithms” was published by ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...