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).

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

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

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 ...

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

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

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

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

The study offers a valuable resource and integrates multiple complementary datasets to provide insights into regulatory mechanisms, although the conceptual advances are moderate and the central ...

The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational ...