The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, ...
Keep learning. Excel in your career. Choose from more than 200 courses in seven different categories, taught by experts in the chemistry community, online and in person.
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback