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.

HIVE has deployed its technology across several sites in Scandinavia, operating autonomously across different machines.

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

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...

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

According to MarketsandMarkets™, the Artificial Intelligence in Healthcare Market is projected to grow from about USD 36.67 billion in 2026 to USD 194.79 billion by 2031, at a CAGR of 39.7%.

The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...

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 ...

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 Tesla shed light on the crash that saw a Model 3 smash into a Texas home, killing a 76-year-old grandmother, the EV company boss had his say on what happened and how it was reported.