Researchers at Tsinghua University in Beijing have developed a 3D printing method that is able to fabricate complex millimeter-scale objects in 0.6s.
Digital tools allow archaeologists to identify similarities between fragments and artifacts and potentially recover previously unknown parts of their stories.
The Vantage GT3 kit will be available at select retailers worldwide, including Amazon, Target, and Mattel Creations, from ...
Neutrino particles have extremely small masses, yet there are so many of them that they carve out the large-scale structure ...
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Geometry behind how AI agents learn revealed
A new study from the University at Albany shows that artificial intelligence systems may organize information in far more intricate ways than previously thought. The study, "Exploring the Stratified ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.
Abstract: Ship target detection is of great significance in Synthetic Aperture Radar (SAR) image applications. However, balancing detection accuracy and efficiency remains a significant challenge in ...
Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Christine Cyr Clisset Christine Cyr Clisset is the special projects director ...
Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabilities. This study ...
Nous Research, the San Francisco-based artificial intelligence startup, released on Tuesday an open-source mathematical reasoning system called Nomos 1 that achieved near-elite human performance on ...
Abstract: With the explosive deployment of non-terrestrial networks (NTNs), the computational complexity of network performance analysis is rapidly escalating. As one of the most suitable mathematical ...
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