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

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Julian Peh founded KIP Protocol with a clear mission: to make AI tools, data, and knowledge accessible to everyone. Backed by ...

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

From day one, DeepSeek built its own data center clusters for model training. But like other AI companies in China, DeepSeek has been affected by U.S. export bans on hardware. To train one of its ...

Long CoT reasoning improves large language models' performance on complex tasks but comes with drawbacks. The typical "think-then-answer" method slows down response times, disrupting real-time ...