The founder of one of China’s top-performing quant funds explains how his team of young computer scientists are using machine ...

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Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function ...

VeloCloud is transforming network management with AI-driven capabilities that optimize performance in real time. With features like Dynamic Multipath Optimization(™) and adaptive bandwidth allocation, ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

Imagine cells navigating through a complex maze, guided by chemical signals and the physical landscape of their environment.

OpenAI model names have been confusing ... such as quick STEM-related queries, programming, visual reasoning. On the other hand, o4-mini-high is best at detailed technical tasks, such as advanced ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...