Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

Abstract: Detection of soft errors and faults are one of the most critical factors in ensuring the reliability of algorithm implementations. Multiplication, as a fundamental and computationally ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Abstract: This paper presents an area-efficient Barrett Modular Multiplication (BMM) algorithm, facilitating the development of cryptosystems like fully homomorphic encryption. Instead of implementing ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

New lower values for p get discovered all the time (maybe once a year). It is conjectured that they will approach 2.0 without ever getting quite to it. Somehow Quanta Mag heard about the new result ...