AI-enabled facial recognition and predictive analytics can enhance security, but they can also erode privacy.

AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static measurements and predict outcomes for each eye treated.

Spire.AI Foundry delivers domain-aware knowledge graph based context intelligence that translates fragmented enterprise ...

Rare disease strategies should prioritize clinician and public awareness to reduce 7–10-year diagnostic odysseys, expand research participation, and improve care coordination through advocacy ...

Alibaba on Monday unveiled a new artificial intelligence model Qwen 3.5 designed to execute complex tasks independently, with ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Three economists grabbed a beer. A multibillion-dollar industry was born. The billion-dollar prediction markets industry began like a joke: Three economists walked into a bar.

Rush University Medical Center’s Sam Davis Jr. says deploying LeanTAAS solution has fostered a data-driven culture ...

Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...