A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence - a step toward shrinking the carbon ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Gradually but surely, Artificial Intelligence (AI) based surveillance is beginning to assist, not as science fiction fantasy, ...

Unlike traditional approaches that typically test one protein target or drug at a time in hopes of identifying an effective ...

D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), a leader in quantum computing systems, software, and services, ...

The quantum AI toolkit, part of D-Wave’s Ocean (TM) software suite, provides direct integration between D-Wave’s quantum ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

People made intermittent progress in the field, but machine learning and artificial neural networks gained further in the 1980s, when John Hopfield and Geoffrey Hinton worked out how to build machines ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

Abstract: This study presents an interdisciplinary methodology for the Resource Allocation Problem (RAP) in a textile manufacturing environment, aligned with the principles of Industry 5.0, which ...