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.
Software
EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could challenge the business model ...
Dec 15, 2025
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Computer Sciences
A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial ...
Dec 12, 2025
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Computer Sciences
Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing ...
Dec 12, 2025
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Energy & Green Tech
Nuclear power is rising to meet the demand for American energy. But building new reactors or even renewing licenses of existing ones requires a tremendous amount of paperwork. Fortunately, AI is also on the rise, and paperwork ...
Dec 12, 2025
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Computer Sciences
After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with far-reaching ramifications.
Dec 11, 2025
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Computer Sciences
A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost and environmental impact ...
Dec 9, 2025
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Computer Sciences
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the underlying features.
Dec 5, 2025
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Computer Sciences
Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has ...
Dec 4, 2025
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Computer Sciences
A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.
Dec 4, 2025
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Hi Tech & Innovation
In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how insights into learning processes in animal brains can be used to make artificial intelligence (AI) ...
Dec 4, 2025
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