Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Abstract: The hysteresis behavior of ferromagnetic materials under static stress is represented using an energy-based vector-play approach combined with a multiscale model. Using parameters identified ...
Microsoft Research has unveiled Fara-7B, a compact 7-billion parameter AI model designed to run “computer use” agents directly on local devices. By processing screen pixels entirely on-device, the new ...
AI Singapore (AISG) and Alibaba Cloud have released a large language model (LLM) that has been improved to address the linguistic and cultural nuances of Southeast Asia. Dubbed Qwen-Sea-Lion-v4, it ...
Abstract: To address AI architecture design challenges, we present an architecture evolution of AI systems in the era of foundation models, transitioning from “foundation-model-as-a-connector” to ...
In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...
A “discriminatory” artificial intelligence (AI) model used by Sweden’s social security agency to flag people for benefit fraud investigations has been suspended, following an intervention by the ...
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