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 ...

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

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 ...

Abstract: Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the ...

Abstract: A noise analysis scheme for readout chain of Fully-Depleted Silicon-on-Insulator (FDSOI) based one transistor active pixel sensor (1T-APS) has been proposed. Both shot noise and read noise ...

This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...

Figure 2: The distances under Power Euclidean Metric (PEM) and Log-Euclidean Metric (LEM) are significantly different (256 x 256 SPD matrices). This is the official code for our ICLR 2025 publication: ...