Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

MaintainX reports manufacturers can succeed with AI by starting small, leveraging CMMS data, and defining clear, measurable ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

A developer at Embark Studios explains how the studio makes the AI robots in ARC Raiders smarter, and it's not in the way ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

As the official partner of the Indian Railways, working with both the Central and Western Railway divisions, the Yatri app ...

Transport operator SMRT is using Oracle AI technologies to tap on its decades of data and keep trains running in Singapore.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Dr. Alan Kuhnle, assistant professor in the computer science and engineering department at Texas A&M University, is using smartphone mobility data collected from anglers to develop machine-learning ...

A new agentic AI application aims to speed up drug development, helping bring new medical treatments to patients faster.

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Take a people-first approach to building your team’s AI expertise; Start out by teaching what key terms mean. Make sure teams ...