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A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...
Hardware system that eliminates comparators, accelerates nonlinear sorting, and delivers massive gains in speed and energy ...
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Tech Xplore on MSNScalable transformer accelerator enables on-device execution of large language models
Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...
This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...
S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.
Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...
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Tech Xplore on MSNAI models learn to split up tasks, slashing wait times for complex prompts
As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...
A new technical paper titled “Augmenting Von Neumann’s Architecture for an Intelligent Future” was published by researchers at TU Munich and Pace University. Abstract “This work presents a novel ...
Hitachi Vantara says its approach to storage and AI offers the most comprehensive solutions, based on its industrial heritage and RAG-like functionality it claims others don’t have ...
Implementing high-speed interconnects between computing assets with the flexibility to support composability.
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