Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Cognitive speed training was linked to a reduced incidence of #Dementia for up to 20 years, according to new findings from the NIH-funded #ACTIVE study: @alzdemjournals @HopkinsMedicine ...

Few scientific ideas have leapt from philosophy seminars to dinner-table debates as quickly as the claim that our universe ...

Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

A new optical device allows researchers to generate and switch between two stable, donut-shaped light patterns called ...

Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Abstract: In automated guided vehicle (AGV) magnetic navigation systems, magnetic markers typically serve solely as spatial references, offering limited informational content. This paper presents a ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Self Learners, a self-directed learning platform founded by Diego Vera, unveils an innovative learning methodology designed ...