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.
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
0
8
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
0
5
Computer Sciences
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a "black box." To better understand how these systems ...
May 5, 2026
0
46
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
0
7
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
0
16
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
0
35
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
0
6
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
0
6
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 ...
