Earth's surface is covered by more than a dozen tectonic plates, and in subduction zones around the world—including the ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...

We live in the age of the “hybrid athlete”. Rather than focussing on one attribute, many fervent exercise fans now want to be able to run fast, lift heavy and turn their hand to any number of sports.

Efficient T-cell engineering is crucial for the success of CAR T-cell therapy research, but it requires multiple labor-intensive steps, including T-cell isolation, activation, and transduction.

Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...