Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...
Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
The company’s platform, Starling AIX, aims to structure organizational knowledge so that large language models can work with ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...
The evolution of software architecture is contributing to increasing energy consumption.
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Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Team led by IIT Kharagpur graduates, Subhasish Mitra and Tathagata Srimani delivers first monolithic 3D chip built in a U.S.
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