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 ...

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

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 ...

It's an understatement that educators worry about students using AI to offload the cognitive struggle that is critical for learning. That worry is well founded.

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Point an AI agent at the alert queue, and it will triage and close the noise, cut the false positives, and free the analysts ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Abstract: Precise and rapid 3-D measurement of metal parts on production lines is essential. Modern artificial intelligence (AI) supports sensing devices to see the world in 3-D vision. Digital fringe ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...