Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Unfinished tasks occupy your brain differently than completed ones. Discover why "done" matters more than "perfect"—and how to engineer closure.
The Brighterside of News on MSN
New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
A team of UChicago psychology researchers used fMRI scans to learn why certain moments carry such lasting power ...
Explore the top 7 API automation testing tools for software developers in 2025, their features, strengths, pricing, and how they enhance API reliability and performance.
Abstract: Computing-in-memory (CIM) has been proven to achieve high energy efficiency and significant acceleration effects on neural networks with high computational parallelism. Based on typical ...
Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...
Abstract: Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning methods ...
Memory shortage could delay AI projects, productivity gains SK Hynix predicts memory shortage to last through late 2027 Smartphone makers warn of price rises due to soaring memory costs Dec 3 (Reuters ...
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