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.
Computer Sciences
After the advent of ChatGPT, the use of large language models (LLMs) has become increasingly widespread worldwide. LLMs are artificial intelligence (AI) systems trained on large sets of written texts, which can rapidly process ...
Machine learning & AI
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process. However, as AI technology ...
Computer Sciences
Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as the ones that power chatbots and protein sequencing tools—learn new tasks using significantly ...
Oct 21, 2025
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Computer Sciences
A new "blueprint" for building AI that highlights how the technology can learn from different kinds of data—beyond vision and language—to make it more deployable in the real world, has been developed by researchers at ...
Oct 21, 2025
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Hardware
A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low-power consumption and ...
Oct 17, 2025
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Electronics & Semiconductors
As recent artificial intelligence (AI) models' capacity to understand and process long, complex sentences grows, the necessity for new semiconductor technologies that can simultaneously boost computation speed and memory ...
Oct 17, 2025
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Computer Sciences
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to make predictions or ...
Oct 16, 2025
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1
Computer Sciences
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog owner to do while onsite.
Oct 16, 2025
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Energy & Green Tech
Last year, wind energy accounted for 23.2% of all energy injected into the Spanish electricity system, according to data published by Red Eléctrica in its latest 2024 report. Although wind power leads national energy production, ...
Oct 15, 2025
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Machine learning & AI
Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which processes multiple types of sensory data at once—also tends to depend more heavily on certain ...
Oct 14, 2025
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