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 a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens Institute of Technology researchers have devised an algorithm that improves AI data sharing, boosts performance ...
May 4, 2026
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Computer Sciences
Today, artificial intelligence can describe images, recognize objects, and explain complex relationships. The pace of development is remarkable: So-called vision-language models (VLMs) combine text and image understanding ...
May 4, 2026
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Computer Sciences
Artificial intelligence that cannot explain how it makes decisions—often called "black box" AI—could soon be replaced by more transparent systems, research suggests. A study by Loughborough University, published in Physica ...
Apr 30, 2026
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Computer Sciences
In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to assess if the lesion is at risk of developing into a cancer or if it is benign. But if the model is ...
Apr 30, 2026
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Consumer & Gadgets
A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors ...
Apr 29, 2026
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Computer Sciences
Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover patterns in data that are useful ...
Energy & Green Tech
Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S. electricity by 2028, according to the Lawrence Berkeley National Laboratory. Improving data center ...
Apr 27, 2026
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Business
Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions. Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. ...
Apr 22, 2026
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Machine learning & AI
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures magnetic turbulence within a plasma in unprecedented detail. Results from the model, trained on the ...
Apr 20, 2026
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Machine learning & AI
Artificial intelligence is becoming increasingly important in nearly every aspect of society, but is completely dominated by the United States and China. Leaving the field to foreign powers and large companies may entail ...
Apr 15, 2026
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