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

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

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

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead ...

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 ...

The heat your devices produce could do the computing. A silicon structures turn waste heat into calculations, cutting energy ...

The rise of AI chips in data centers and PCs is changing the way businesses can protect against cyberattacks and data breaches by introducing new security capabilities such as large-scale digital ...