* a linear programming problem that would take 82 years to solve in 1988 could be solved in one minute in 2003. Hardware accounted for 1,000 times speedup, while algorithmic advance accounted for ...

System-on-chip (SoC) designs commonly consist of one or multiple processors (e.g. DSP or reduced instruction set computing (RISC) processors), interconnects, memory sub-systems, DSP hardware ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have emerged, each ...

A technical paper titled “Simulating Noisy Quantum Circuits for Cryptographic Algorithms” was published by researchers at Virginia Tech. “The emergence of noisy intermediate-scale quantum (NISQ) ...

Future analog-to-digital converters (ADCs) that implement Samplify Systems' latest algorithm could compress digitized, band-limited signals by adapting to the signals' bandwidth and dynamic range.

DAEJEON, South Korea (October 14, 2024) – Qunova Computing, a developer of quantum software applications designed to bring quantum computing to the chemical, pharmaceutical and industrial engineering ...

Recent advancements in cryptographic research underpin the evolution of secure digital communication systems. Cryptographic algorithms form the backbone of information security, defending data ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...