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.
Security
Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop ...
Mar 24, 2026
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Robotics
Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse able to transition between ...
Mar 23, 2026
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Energy & Green Tech
Power usage by AI and data center systems in the U.S. is extraordinary by any measure. The International Energy Agency estimates U.S. AI and data centers used about 415 terawatt hours of power in 2024—more than 10% of that ...
Mar 22, 2026
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Robotics
Robots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, humanlike tasks are too nuanced to be efficiently programmed step by step.
Mar 19, 2026
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Robotics
MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by "seeing" through obstacles. Their methods utilize surface-penetrating wireless signals that reflect ...
Mar 19, 2026
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Automotive
Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in the International Journal ...
Mar 17, 2026
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Automotive
As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited telecommunications infrastructure. New research from Washington State University suggests a potential ...
Mar 17, 2026
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Computer Sciences
Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because they convey falsehoods, ...
Mar 17, 2026
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Security
Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital communication are closely tied together. While this digitalization boosts efficiency, it exposes ...
Mar 16, 2026
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Consumer & Gadgets
Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However, when users join a new online platform, recommendation systems often struggle ...
Mar 16, 2026
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