Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Through sensor fusion, the combined benefits of radar and light detection and ranging (LiDAR) sensing are being implemented in each new generation of advanced driver assistance systems (ADAS).

Autonomous vehicle (AV) startups are measured by their ability to navigate Los Angeles gridlock or Dubai desert highways.

QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

Abstract: The estimation of the signal source number presents a key challenge for the multiple signal classification (MUSIC) algorithm under low signal-to-noise ratio (SNR) conditions. However, ...

A high-energy signal lasting over seven hours, first observed in mid-2025, has drawn intense scrutiny from astrophysicists tracking rare cosmic phenomena. Detected by multiple space-based ...

Abstract: This paper considers an intelligent reflecting surface (IRS)-assisted bi-static localization architecture for the sixth-generation (6G) integrated sensing and communication (ISAC) network.