The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ever closer together, inside increasingly complex data centers.

Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of brutal game-day drills.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...