Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...
CNC machining has long been the foundation of precision manufacturing, but the pace of change heading into 2026 is unlike ...
The Window of Opportunity Has Arrived - Eight Trends in L3 Layout of OEMs and Tier 1 Suppliers. Through in-depth research on 15 OEMs (including 8 Chinese and 7 foreig ...
AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...
Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.
Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...
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