Machine learning methodologies encompass algorithmic frameworks and architectures for training, optimizing, and deploying models such as neural networks, transformers, diffusion models, and reinforcement learning agents. Work in this area develops new training objectives, curriculum schemes, speculative and efficient decoding, pruning and communication-reduction strategies, and biologically inspired or physics-informed architectures. The domain also includes safety preservation, unlearning, scaling laws, and specialized methods for vision, language, control, and scientific computing, aiming to improve performance, efficiency, robustness, and controllability of complex AI systems.
Computer Sciences
Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The method significantly improves the accuracy and stability of solutions and accelerates model training ...
Apr 7, 2026
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Software
Data centers consume millions of homes' worth of electricity each year, with much of that electricity simply powering the cooling systems that keep the facilities operational. Researchers at Penn State are addressing this ...
Apr 7, 2026
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Computer Sciences
One of the most influential scientific and philosophical viewpoints is "More is Different," introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. ...
Apr 3, 2026
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Hi Tech & Innovation
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial ...
Apr 3, 2026
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Computer Sciences
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the ...
Apr 2, 2026
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Security
From smartphone facial recognition to autonomous vehicles, artificial intelligence (AI) has long been protected as a black box. However, a joint research team from KAIST and international institutions has uncovered a new ...
Apr 1, 2026
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Computer Sciences
The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even in their own research area. Researchers from the Karlsruhe Institute of Technology (KIT), in collaboration ...
Apr 1, 2026
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Engineering
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion resistance and protection, durability and hardness, conductivity and more. A Los Alamos National Laboratory ...
Apr 1, 2026
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Security
Oak Ridge National Laboratory's Center for Artificial Intelligence Security Research (CAISER) is shining a light on AI vulnerabilities. While AI models offer tremendous economic, humanitarian and national security potential, ...
Mar 28, 2026
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Robotics
What if technology, such as self-driving cars, drones, or intelligent navigation systems, could understand the world the way we do—not just seeing shapes, but recognizing meaning? A person waiting at a crosswalk, a bicycle ...
Mar 26, 2026
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