Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
The NFL is no stranger to innovation. Over the years, teams have adopted new strategies, technologies, and data-driven approaches to stay ahead of the ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
On May 16, 2025, United States District Judge Rita Lin granted a Motion for Conditional Certification of Collective Action in ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
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