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
A new technology has been developed that enables pretrained AI models to be expanded into larger models with specialized expert modules without training the models from scratch.
Aug 10, 2026
0
7
Hi Tech & Innovation
As AI-powered large language models, or LLMs, grow in power and sophistication, where will their architects turn when someday—as experts predict—algorithms outgrow the limits of general human knowledge and begin craving information ...
Aug 10, 2026
0
75
Machine learning & AI
A hospital may only ever collect a few dozen scans of a rare condition—for example, an unusual tumor. The radiology department wants software to flag this on a scan—not to replace a specialist, but to ensure a hospital without ...
Aug 10, 2026
0
11
Computer Sciences
In recent years, computer scientists have developed a wide range of artificial intelligence (AI) models that can rapidly recognize patterns in data, generate content and solve other computational problems. Many of these AI ...
Engineering
A team from the U.S. Department of Energy's (DOE) Argonne National Laboratory has successfully demonstrated an artificial intelligence (AI)-driven system to automate a powerful simulation method that predicts how atoms in ...
Aug 7, 2026
0
33
Hardware
As large language models (LLMs) become increasingly embedded in chatbots, virtual assistants, translation services, coding tools and other AI-powered applications, delivering responses quickly and efficiently has become a ...
Aug 6, 2026
0
24
Energy & Green Tech
Doyeon Kim, an undergraduate researcher in the Department of Electronic and Electrical Engineering, has published a paper in an academic journal. The research focuses on implementing drone artificial intelligence (AI) identification ...
Aug 6, 2026
0
9
Computer Sciences
Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most ...
Aug 5, 2026
0
10
Machine learning & AI
Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and ...
Aug 5, 2026
0
4
Robotics
Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform ...
