By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...
Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...