Investing.com -- WiMi Hologram Cloud Inc. (NASDAQ:WIMI) stock surged 11.3% on Monday after the company announced the launch of its independently developed Quantum Convolutional Neural Network for ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The new all-flash device combines workstation performance, on-device AI, and power independence to replace the laptop in professional field ...
Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
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 ...
Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...
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 ...
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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