A framework to understand this phenomenon comes from the Neural Tangent Kernel (NTK).

The quantum many-body problem lies at the center of the most important open challenges in condensed matter, quantum chemistry, atomic, nuclear, and high-energy physics.

This paper considers doing quantile regression on censored data using neural networks (NNs). This adds to the survival analysis toolkit by allowing direct prediction of the target variable, along with a distribution-free characterisation of uncertainty, using a flexible function approximator.

Finding accurate solutions to partial differential equations (PDEs) is a crucial task in all scientific and engineering disciplines. It has recently been shown that machine learning methods can improve the solution accuracy by correcting for effects not captured by the discretized PDE.

Delta Electronics (Thailand), the country's most valuable publicly traded company, is predicting "double-digit" sales growth to continue for at least the next couple of years on rising demand for AI-related tech, Chief Executive Officer Victor Cheng said. The maker of components for data centers and electric vehicles is boosting investment to fuel its expansion, Cheng said in an interview. The company also says it plans to raise its sales forecast for the second half of this year, without disclosing what its estimate is. AI-related products, such as networking and data-center power equipment, will account for half of Delta Thailand's sales by the end of the year, up from 42% in the latest quarter, the company forecasts. It is among Southeast Asian suppliers benefiting as customers including Nvidia expand in the region and beyond to tap rising demand for services such as generative artificial intelligence.