Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by particle detectors at modern accelerators. The new ...
Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
DeepSeek has released its OCR 2 model with semantic reasoning architecture that abandons traditional scanning, achieving ...
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Behind the hype is a newly surfaced Tesla patent that sheds light on how the company is rethinking the most fundamental problem in modern AI hardware: how to balance precision, power consumption, and ...
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'Rosetta stone' for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses ...
Abstract: The calibration of ultra-high voltage direct current (UHVDC) transmission systems, as an advanced electric power system that transmits electric energy with high efficiency and over long ...
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