A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...
Fully autonomous home-cage training system HABITS enables mice to learn complex cognitive behaviors without human intervention, expanding behavioral paradigms and optimizing training efficiency ...
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
The vision of Ambient AI in smart homes promises an intelligent system that understands and adapts to its occupants. Despite ...
Machine learning (ML) is driving a paradigm shift in the prevention and treatment of complex diseases, particularly in cardiometabolic and oncologic care.
Abstract: Dynamic stream learning, which emphasizes high-velocity, single-pass, real-time responses to arriving data, is revealing new challenges to the standard machine learning paradigm. In ...
Abstract: Federated Learning (FL) has emerged as a cutting-edge paradigm in machine learning, showcasing remarkable advancements in recent years. This research paper delves into the dynamic landscape ...
New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
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