A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing ...

Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and ...

Ed Ahearne combined automation , machine learning and Bayesian optimization to speed up method development for siRNA medicines. At ISC 2016, Edward Ahearne of AstraZeneca’s Pharmaceutical Sciences - ...

In a sea of vendors who promise to optimize e-commerce and boost sales, wading through the advertisements to find the right match for the right process can be incredibly difficult. German-based ...

INmune Bio (Nasdaq: INMB) and Quantum Computing Inc. (Nasdaq: QUBT) announced they are working togther to run INmune Bio’s ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions through time.

As the climate crisis intensifies, AI is emerging as a tool for climate action, including modeling, prediction and optimization. Machine learning models can provide environmental data insights, ...

Great progress has been made in the past few years in our understanding of nonconvex optimizations. In this talk, I will share with you three of our works in this direction. In one, we study low-rank ...

Gongguo Tang; Department of Electrical, Computer, and Energy Engineering; University of Colorado BoulderGeometry and algorithm for some nonconvex optimizationsGreat progress has been made in the past ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...