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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...
From assessing a patient's cancer risk to setting criminal sentences, AI and algorithms are increasingly used to make ...
Universal Quantum has staked its reputation on the trapped-ion approach, allowing it to scale in the quickest and most ...
Three researchers at Oak Ridge National Laboratory have been recognized with Department of Energy Office of Science Early ...
This was the question posed to me last summer by an English professor at a top research university, at a backyard barbecue.
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...
When I tap the app for Anthropic's Claude AI on my phone and give it a prompt -- say, "Tell me a story about a mischievous ...
Explore the 2026 differences between Robotics and Mechatronics. Compare their career scopes, core subjects, and industry ...
Khaberni - Artificial intelligence models face a critical constraint known as the bottleneck for long texts, which limits ...
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