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.
Machine learning & AI
Text-to-image models have made it significantly easier to generate synthetic images, including harmful and illegal content such as child sexual abuse material (CSAM). In public debates and policy discussions, a commonly proposed ...
Jul 15, 2026
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Machine learning & AI
Sungkyunkwan University (SKKU) announced that an artificial intelligence research team from the College of Computing and Informatics, consisting of Professor Sung-Eun Hong and researchers Ae-cheon Jeong and Seung-hwan Lee, ...
Jul 15, 2026
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Machine learning & AI
Decision-making in clinical settings requires not only correct answers but also clinically valid reasoning. In a new study, researchers propose a framework to improve the use of artificial intelligence in medicine, making ...
Jul 14, 2026
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Machine learning & AI
Researchers developed an auditing technique to test generative AI models for malicious capabilities without prompting them for illegal outputs.
Jul 13, 2026
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Computer Sciences
Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These networks consist of layers of interconnected nodes, or artificial neurons, that learn patterns from data ...
Jul 10, 2026
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Computer Sciences
Korean researchers have developed a hierarchical AI technology that autonomously plans even complex, long-horizon tasks. The development of this hierarchical task-planning AI technology, which reduces hallucinations and doubles ...
Jul 10, 2026
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Machine learning & AI
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to achieve artificial general intelligence, engineers have centralized AI development and training to accelerate ...
Jul 9, 2026
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Machine learning & AI
The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably somewhere in Spain or Portugal. The surrounding trees resemble those of a eucalyptus forest, which could ...
Jul 9, 2026
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Business
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy of financial market forecasts across major stock indices and so-called cryptocurrency, according ...
Jul 8, 2026
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Machine learning & AI
For artificial intelligence tools that rely on interpreting data from the real world, both speed and accuracy are critically important. Researchers at the University of Saskatchewan (USask) have developed a tool to make AI ...
Jul 8, 2026
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