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
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require interpreting both text and images. ...
Feb 10, 2026
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Hardware
A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine things that we cannot directly perceive by sampling from internal models of the world. The study, ...
Feb 10, 2026
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Hi Tech & Innovation
A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what causes sequences to become incoherent after a handful of seconds. Their breakthrough paves the way ...
Feb 6, 2026
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Hi Tech & Innovation
Skeleton is an exhilarating Winter Olympic sport in which athletes race head-first down an ice track at speeds reaching over 80 miles per hour (130km/h). While the event can look basic at first glance, success relies heavily ...
Feb 5, 2026
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Energy & Green Tech
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan ...
Feb 4, 2026
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Machine learning & AI
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when you're a passenger late for ...
Feb 4, 2026
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Computer Sciences
Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, and understand our emotions. But it's not just humans who can reap the benefits of such self-talk.
Feb 1, 2026
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Machine learning & AI
A new study from the University at Albany shows that artificial intelligence systems may organize information in far more intricate ways than previously thought. The study, "Exploring the Stratified Space Structure of an ...
Jan 31, 2026
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Machine learning & AI
Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model robustness. While ...
Jan 29, 2026
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Machine learning & AI
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective at capturing relationships ...
Jan 28, 2026
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