People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
The U.S. Army Command and General Staff School has overhauled its intermediate-level professional military education distance ...
What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...
Researchers challenge the long-standing "neural independence" theory, showing that learning actually makes neurons more coordinated.
As educators, we often center our attention on students as learners—designing instruction to honor their varying identities, curiosities, strengths, and opportunities for growth. Yet, we rarely pause ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.
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