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

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

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

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

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 ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

Imagine driving down a busy highway. You need to check your speed and navigation, but glancing down at the dashboard takes your eyes off the road for a critical second. This is where head-up displays ...

Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...

Abstract: Fully homomorphic encryption (FHE) is a powerful technique that allows unlimited computations on encrypted data without decryption. However, FHE will incur huge computation and storage costs ...

Flowvideo.ai makes the whole content process a simplified one by combining the process of creating videos, images, and audio ...