Bitcoin trades $43K below power-law fair value in historic deviation. Mathematical analysis projects 105% returns as gap ...

A consortium led by SK Telecom has built a sovereign AI model designed to reduce reliance on foreign tech, lower costs for ...

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Researchers at the TPU Laboratory of Heat and Mass Transfer have proposed a mathematical model that reliably describes critical conditions of microexplosion of composite fuel droplets under the ...

The AUSD Board of Education took a deep dive into math test scores at its meeting on January 27. "Overall, the percentage of ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Remember seeing your triglyceride levels in your lab report? Ah! Fats you may dismiss, thinking of the next gym work you need to head to. Fatty acids are broken down via a process called β-oxidation.

Don't be fooled by a graph. New research shows that a scientist's policy preferences can influence their results. Look past the model and find the ground truth.

Vertical, convective, thermal energy transport is examined outside the box of microscale turbulent dispersion or unstable air ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Published January 7 in the journal Nature, one paper tackled the age-old problem of nature’s construction with a bit of a twist: it suggests that living networks, like our brain, may use some of the ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.