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The Role Of Artificial Intelligence In The SKA Era

A semantic cross correlation heatmap, qualitatively illustrating the relative importance of AI-based methods in SKA problem areas. Note that this figure is derived from the references discussed in this chapter and reflects an indicative rather than exhaustive selection of topics. However, the frequency of each AI-based method is representative when compared against matched papers from arXiv. -- astro-ph.IM

Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp… More by Keith Cowing

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Chen Qian, PhD, Shanghai Jiao Tong University, China Qian Chen is a tenure-track Associate Professor and Ph.D. advisor at the School of Artificial Intelligence, Shanghai Jiao Tong University, where he founded the Agentic AI Lab (AAIL) to explore human–agent collaboration and build toward a symbiotic worldware. He received his Ph.D. in Software Engineering from Tsinghua University

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CIFAR AI Chair: 1.5B-Parameter RWKV-7 Model Achieves Scale In NQS Optimization

Researchers are applying a new approach to optimizing neural quantum states (NQS), utilizing a 1.5 billion-parameter RWKV-7 model to scale these approximations of quantum many-body wavefunctions beyond previous limitations. The team, spanning Mila Quebec AI Institute, Applied Quantum Algorithms, and Delft University of Technology, addresses challenges with existing optimization methods like stochastic reconfiguration, which they

the-only-ai-glossary-you’ll-need-this-year-|-techcrunch
The only AI glossary you’ll need this year | TechCrunch

Artificial intelligence is rewriting the world, and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll hear people toss around LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world

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