AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Now, researchershave developed a new spintronic device that can potentially revolutionize AI hardware through higher efficiency and lower energy costs.

Kavli IPMU researchers are part of an international team that has found dark matter dominating the halos of two supermassive black holes 13 billion light years away.

Understanding how cells transform into specialized types during human development is a central challenge in biology. This complex process, known as cell differentiation, holds the key to understanding developmental biology and advancing regenerative medicine. A team of researchers in Japan has developed a new computational tool, scEGOT, which provides new insights into this process by addressing the limitations of previous methods and enabling the analysis of single cell dynamics across different cell types.

Researchers created platinum-mixed metallic magnetic nanofilms that are 5x more efficient – the ultimate energy-saving solution.

Researchers introduced a novel classification system for biomass-derived electrocatalysts (BDEs), categorizing them based on their roles in catalytic systems rather than feedstocks. This approach addresses limitations in traditional classifications, providing a foundation for a biomass-derived database to accelerate the development of tailored catalysts for sustainable energy technologies.

A new theory predicts one of the effects of macroscopic mechanical forces on mechanochemical organic synthesis by a ball mill.