Significant institutional momentum around large-format additive manufacturing and the push for faster production in U.S.
Defense-focused research will apply machine learning to reduce physical testing requirements for LPBF-produced 17-4PH ...
Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...
Sensors and computer vision automate printing speed and temperature monitoring and are able to make on-the-fly adjustments ...
Researchers at the University of Chicago have developed an AI system that generates full electrolyte formulations for lithium ...
Yann LeCun world model research crossed a milestone in May 2026: two preprints from his group formally proved when the JEPA ...
Texas A&M researchers developed an AI-guided alloy discovery workflow that speeds up the design of heat-resistant metals.
Charles R. Goulding and Preeti Sulibhavi share insights from a recent Deloitte seminar, connecting today’s AI boom to ...
Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce lightweight and geometrically complex components, has long faced a critical ...
Abstract: Spectrum sensing in cognitive radio presents a challenge in overcoming the spectrum scarcity caused by the rapid growth of wireless devices. Deep learning (DL) and machine learning (ML) are ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Timothy Li is a consultant, accountant, and finance manager with an MBA from USC and over 15 years of corporate finance experience. Timothy has helped provide CEOs and CFOs with deep-dive analytics, ...
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