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
Your online order arrives damaged, so you request a refund. What often follows is an artificial intelligence workflow involving multiple AI models: One model checks your request against company policy, another analyzes the ...
Jul 7, 2026
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Robotics
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today, there are two main ways to program these walking, or legged, robots. The first is called model ...
Jul 7, 2026
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Software
Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, explaining code and automating text-processing tasks like filtering logs.
Automotive
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and network design. These problems involve finding the best possible solution from a finite set of discrete ...
Jul 6, 2026
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Consumer & Gadgets
Researchers have developed an artificial intelligence (AI) system that evaluates the visual appeal of literary and artistic product designs by mimicking how people naturally direct their attention across an image, a step ...
Jul 2, 2026
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Electronics & Semiconductors
Chinese tech firm Meituan launched a new artificial intelligence model on Tuesday that it said was the first of its size to be trained using domestically developed computer chips.
Jun 30, 2026
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Machine learning & AI
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make more accurate predictions based on data linked to locations. Researchers from the University of ...
Jun 29, 2026
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Machine learning & AI
Scientists believe AI could provide F1 strategists with additional information to inform their decision-making during races—where quick decision-making based on data can improve performance on track. Dr. Antonio Rago, a lecturer ...
Jun 25, 2026
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Robotics
Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, teaching robots delicate human ...
Jun 24, 2026
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Machine learning & AI
Computer scientist Louis Castricato was in his eighth year studying large language models—the artificial intelligence technology behind chatbots like ChatGPT and Claude—when he started to feel like he was hitting a dead end.
Jun 24, 2026
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