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
In the last few years, many of us have started to see the benefits of using genAI in day-to-day tasks. But we've also been asked to reckon with the enormous environmental cost. Reporting has highlighted that these popular ...
May 14, 2026
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Computer Sciences
New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.
May 14, 2026
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Automotive
Picture this: you're driving on a mountain road, when you suddenly hit a thick patch of fog. You respond instinctively. Your vision sharpens, and you narrow your eyes to make out the shape of any oncoming cars.
May 12, 2026
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Engineering
Every year, the spring freeze-thaw cycle leads to significant structural damage to critical infrastructure. Visible cracks in roads, bridges and buildings are the first signs and, if left undetected, can present serious dangers ...
May 12, 2026
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Robotics
Animals move with a level of precision and adaptability that robots struggle to match. In Carnegie Mellon University's Department of Mechanical Engineering, researchers are developing a new AI-driven approach to uncover how ...
May 12, 2026
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Machine learning & AI
The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, learning machines and discovery machines. Researchers at Washington University in St. Louis are ...
May 11, 2026
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Machine learning & AI
A new approach has been proposed to address the problem of "overconfidence"—one of the most critical risks of artificial intelligence (AI) in areas such as autonomous driving and medical diagnosis, where AI shows high confidence ...
May 10, 2026
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Automotive
In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute's AirLab used the Pittsburgh Supercomputing Center's Bridges-2 supercomputer to create World2Rules, an AI that draws ...
May 8, 2026
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Computer Sciences
Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can ...
Machine learning & AI
NASA announced that it will launch the Nancy Grace Roman space telescope into orbit in September 2026, eight months ahead of schedule. The new space telescope is expected to deliver 20,000 terabytes of data to astronomers ...
May 5, 2026
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