AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
A revolutionary new kind of computer is no longer science fiction — it’s alive. Australian biotech company Cortical Labs has ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
University of Utah research engineers finetune robotic prosthetic hand to improve its manual dexterity through an artificial ...
Bayer BAYN-0.03%decrease; red down pointing triangle reported a net loss for the third quarter due to litigation charges, though adjusted earnings rose, and said it aims to significantly contain risks ...
The increasing demand for sustainable materials has highlighted the importance of biocomposites; however, their computational analysis is challenging due to the high cost associated with traditional ...
Research on short-term line loss rate prediction method of distribution network based on RF-CNN-LSTM
Under the background of the new distribution network, the power fluctuation on the line is increasing, which leads to more uncertainties in the predicted line loss rate, thus affecting the economic ...
Brain-computer interface (BCI) technology is opening an unprecedented chapter in human-machine integration by establishing direct communication between the brain and external devices. Once a science ...
Abstract: Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel ...
June 2 (UPI) --Paradromics, a competitor of Neuralink, announced Monday it safely implanted a brain-computer interface into a human patient and recorded neural activity, before removing it 10 minutes ...
Neural-Network-Based False Alarm Controllable Detector for Weak Targets via a Differentiable NP Loss
Abstract: Weak target detection has been a vital challenge due to the low signal-to-noise ratio. Traditional detectors based on statistical characteristics may suffer from the difficulty of precise ...
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