The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as this year’s Nobel laureates ...

AlphaQubit, a recurrent-transformer neural network, outperforms state-of-the-art decoders in quantum error correction, ...

Deep Learning: Precision in Market Trend Prediction Deep learning, especially through neural networks, has become essential ...

The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as this year's Nobel laureates in physics spurred ...

Keith Dreyer, PhD, chief data science officer at Mass General Brigham, traced the roots of this initiative to the organization's early integration of AI into clinical practice in 2016-17, initially ...

In a study, a team of Korean researchers developed an AI model using OCT images to predict neovascular AMD treatment outcomes after anti-VEGF injections. The model highlights AI’s potential in ...

文｜李添诺编辑｜宋辰为AI大模型研发提供理论基础和实操指导的Scaling ...

This work will be of high interest to a broad swathe of scientists studying native macromolecules present at low concentrations in cells. Cryo-EM single-particle analyses typically require target ...

Big Data Analytics, Anti-Money Laundering, Financial Fraud Detection, Machine Learning, Regulatory Technology Share and Cite: Jiang, H. (2024) Application Technologies and Challenges of Big Data ...