Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...
Bin Li Contributes New Data-Driven Model Integrating BOM and ECBOM for Manufacturing Energy Analysis
Research on digital twin technology for green manufacturing establishes new frameworks for energy efficiency assessment, while practical experiences in environmental planning and waste management ...
There’s always a worry that “agentic AI” means people step aside. The reality is sort of the opposite. Agents take on the ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Interesting Engineering on MSN
‘Star in a jar’: UK achieves 1,000 times faster 5D plasma modeling for nuclear fusion
AI tool GyroSwin simulates fusion plasma in seconds, cutting costs and speeding the design of future fusion power plants.
Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.
The mode transition of combined-cycle inlets, governed by sidewall constraints, is inherently characterized by significant ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Two-dimensional (2D) materials have emerged as a significant class of materials promising for photocatalysis, and defect ...
The development of AI could allow for a new, globally competitive and globally adoptable model of the Mittelstand company.
Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...
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