MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

When given a target functionality, usually a particular pattern of heat conductivity, this algorithm can slowly hone in on the best possible design. The researchers refer to this as "inverse design," ...

Robotics engineer and PhD candidate Suhan Kim from Massachusetts Institute of Technology discusses how his lab is building a ...

Scientists in the US have created a tiny silicon chip that can perform mathematical ...

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead of electricity. In a proof-of-concept study published in Physical Review ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Job seekers feel ignored and filtered out by automated systems, while employers are overwhelmed by application volume and uncertain how to use AI responsibly in hiring. In this Today in Tech ...

There are several major issues with the staged proof-of-concept AI deployment structure, primarily related to cost, ...