A self-driving car moves through traffic one moment at a time. A bus blocks part of the road. Rain throws reflections across ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

Privacy-preserving feature selection allows identifying more important features while ensuring data privacy, thus enhancing data quality. Secure multiparty computation (MPC) is a cryptographic method ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Solana (SOL) based perpetual futures exchange Drift Protocol recently fell victim to a large-scale security breach on April 1, 2026.

Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...

Abstract: Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward ...

A gene therapy called AMT-130 appears to be the first treatment to slow the progression of Huntington’s disease, an inherited and fatal neurological disorder that has resisted every previous attempt ...

A375, HEK293T, Sk-Mel-3 and Sk-Mel-24 cell lines were obtained from the American Type Culture Collection. A375 and HEK293T cells were maintained in ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...