The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) for the Year 2027 evaluation cycle. It is designed specifically to make ...
Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...
On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...
China's LineShine supercomputer debuted at number one on the 67th TOP500 list on June 23, 2026, posting 2.198 exaflops on the High Performance Linpack benchmark — the first machine in the ranking's ...
The effort to turn processing power into a liquid asset did not scale well, according to Randolf Roth, its chief executive and veteran of the exchange business. Standardising central processing units ...
Abstract: This article proposes a general-purpose hybrid in-/near-memory compute SRAM (CRAM) that combines an 8T transposable bit cell with vector-based, bit-serial in-memory arithmetic to accommodate ...
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...
Abstract: Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bio-inspired computing devices-spiking neural P systems (for short, SN P systems) ...
The story of ARM, the invisible company behind today’s most important computing shift.Wikimedia Commons Humanoid robots, autonomous vehicles, smartphones, smart home devices, and even something as ...
Spiking Neural Networks (SNNs) are promising for neuromorphic computing due to their biological plausibility and energy efficiency. However, training methods like Backpropagation Through Time (BPTT) ...
Vector-Symbolic Architectures (VSA, a.k.a. Hyperdimensional Computing) is an emergent computing paradigm that works by combining vectors in a high-dimensional space for representing and processing ...
Traditional artificial neural networks, exemplified by large-scale models such as ChatGPT, have been widely applied across various domains. However, these models commonly suffer from low computational ...
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