This innovative method combines deep learning with physics-based modeling to predict melt pool behavior faster and more accurately, paving the way for smarter and more efficient additive manufacturing ...

Researchers used machine learning and glucose monitor data to uncover unique diabetes subtypes, paving the way for tailored treatments and better outcomes. Study: Prediction of metabolic subphenotypes ...

Discover how DeepSeek-V3 leverages groundbreaking innovations like FP8 precision and multi-token prediction to deliver record-breaking performance while redefining efficiency in AI training. Benchmark ...

New dataset bridges hemispheres, enabling cutting-edge machine-learning models to predict storm intensity, eye location, and cross-regional trends with unprecedented accuracy. Research: Machine ...

New research reveals how advanced AI systems can strategically game training processes, highlighting the urgent need for robust safety measures and ethical oversight in AI development. Research: ...

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...

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The deep learning field has been dominated by "large models" that require massive computational resources and energy. This has led to unsustainable environmental and economic challenges. To address ...

DeepSeek researchers unveil DeepSeek-V3, a 671B parameter open-source language model with state-of-the-art performance, achieved through innovative architectures and cost-effective training. This ...

Stanford’s MUSK model uses advanced AI to fuse imaging and text data, offering groundbreaking accuracy in cancer prognosis and personalized treatment recommendations. Research: A vision–language ...

Dive into how Aviary trains AI agents to solve intricate scientific problems, outperforming human experts and cutting costs by up to 100 times. Research: Aviary: training language agents on ...

AI tools are increasingly being used to track and monitor us both online and in person, yet their effectiveness comes with significant risks. Computer scientists at the Oxford Internet Institute, ...