Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.

According to MarketsandMarkets™, the Artificial Intelligence in Healthcare Market is projected to grow from about USD 36.67 ...

Marine Logistics Group benefits from having Maj. Nickolas Mohr on staff to apply his master’s degree in computer ...

The harder question now is supervisory: how can regulators see, interpret and supervise digital asset activity across users, ...

Making Obstetrics Care Smart (MOCS) program has awarded Children's Hospital of Philadelphia (CHOP), as part of a 9-institution team led by Carnegie Mellon University, a four-year award of ...

Abstract: Few of the challenges with development of a single on-board motor for direct-drive electric vehicles include high torque density and low torque ripple. Therefore, in this paper, a 36-slot, ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

As part of Symbiosis International (Deemed University), the institute operates with a clear sense of what modern technical education needs to do: produce graduates who are not just competent within ...

As Tesla shed light on the crash that saw a Model 3 smash into a Texas home, killing a 76-year-old grandmother, the EV ...