Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...
High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C ...
Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, today announced that it has developed a novel quantum computational framework to accelerate the discovery of ...
A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...
How decking the halls of your data center with smarter DCIM software can optimize operational efficiency for annual planning ...
Lux and Discovery are engineered for scientific workloads that now pair high-fidelity simulation with large AI models, ...
AI-driven adaptive safety stock planning is revolutionizing inventory management in fluctuating supply chains.
Level, Macro-Level Share and Cite: Fuentes, A. (2025) Postgraduate EFL Writing with GenAI across Scientific Domains: A ...
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