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 ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.
AI systems don’t get euphoric after gains or override rules because a headline feels alarming or reassuring. They execute the ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
Over the years I’ve learned something important about markets: they don’t reward the loudest opinions they reward the ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing inf ...
New Data Highlights AI's Ability to Scale Value-Based Care Through Decision-Ready Medical Records Delivered at the Point of Care ...
Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.
Ethereum price prediction for February 2026 is in focus as ETH faces choppy conditions, weak ETF flows, and key support near ...
Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
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