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
Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine ...
Nov 4, 2025
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31
Computer Sciences
A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how humans do it. This model is inspired by biology and could be useful for artificial intelligence ...
Nov 4, 2025
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33
Security
A research team led by Professor Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a Global-Local Alignment Attention (GLAA) model based on an Asymmetric Siamese Transformer ...
Oct 30, 2025
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27
Energy & Green Tech
Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the University of Surrey that takes direct inspiration from biological neural networks of the human brain.
Oct 30, 2025
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50
Hi Tech & Innovation
Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and forecasting capabilities ...
Oct 30, 2025
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61
Computer Sciences
After the advent of ChatGPT, the use of large language models (LLMs) has become increasingly widespread worldwide. LLMs are artificial intelligence (AI) systems trained on large sets of written texts, which can rapidly process ...
Machine learning & AI
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process. However, as AI technology ...
Computer Sciences
Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as the ones that power chatbots and protein sequencing tools—learn new tasks using significantly less ...
Oct 21, 2025
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183
Computer Sciences
A new "blueprint" for building AI that highlights how the technology can learn from different kinds of data—beyond vision and language—to make it more deployable in the real world, has been developed by researchers at the ...
Oct 21, 2025
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28
Hardware
A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low-power consumption and ...
Oct 17, 2025
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