Nomagic, a leading robotics company applying advanced Physical AI to warehouse automation, has appointed Markus Wulfmeier, formerly of Google DeepMind, as Chief Scientist. In this newly created role, ...

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

Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.

Explore how AI-driven DAOs are managing billion-dollar treasuries with autonomous agents, reshaping decentralized finance, governance, and the future of digital asset management.

It’s not breaking news that stocks, bonds and commodities have all been gripped by volatility this past month, with assets seeing wild swings as the U.S.-Iran war has dragged on. The conflict has ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

The cost of training today’s large-scale foundation models is often reduced to a single number: the price of a GPU hour. It's ...