Interesting Engineering on MSN

China’s new flexible brain-computer chip retains 94% efficiency after 18 months

A team of researchers from China and Japan has developed a ultra-flexible brain implant ...
Nature

An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines

Exploiting unstructured sparsity in the hardware accelerator of a Convolutional Neural Networks (CNNs) based inference can improve energy efficiency. However, it needs a complex controller for ...
Nature

Deep neural network inference on an integrated, reconfigurable photonic tensor processor

Artificial neural networks set the pace in machine vision, natural language processing, and scientific discovery, but their performance depends on fast and efficient tensor computations. Analog ...
EurekAlert!

AI points toward a new paradigm for fully automated processor chip design

Potential framework for fully automated processor chip design, including three core components: a) A domain-specific LLM to comprehend the specification and generate a primary design; b) An automated ...
techtimes

ARM vs x86 Processors in 2026: A Deep Dive into Chip Performance and Processor Architecture

Explore the 2026 ARM vs x86 battle—comparing processor architecture, CPU performance, and energy efficiency to reveal which chip design leads modern computing innovation. Pixabay, kenchan4 The ...