In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
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 ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Jason Van Tatenhove, a journalist, author and former member of extremist group The Oath Keepers, says AI tools have made him ...
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Science Is Drowning in AI Slop
Peer review has met its match.
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Misleading text in the physical world can hijack AI-enabled robots, cybersecurity study shows
As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information on pedestrians, traffic lights, and street signs. Artificial intelligence ...
Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn’s disease (CD), affecting up to 70% ...
Foundational Pillars Of Artificial Intelligence Artificial Intelligence didn’t just appear out of nowhere. It’s built on some ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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