The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...
AI-assisted signal debugging has broad impact across many domains.
MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...
Tech Xplore on MSN
A brain-like chip interprets neural network connectivity in real time
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...
Furthermore, we adopted a novel approach using the one-hot encoding method that transforms the 16 different genotypes into ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
This functional MRI study critically tests the hypothesis that poor face recognition in developmental prosopagnosia in humans is driven by reduced spatial integration and smaller receptive fields in ...
The best kind of follow-up article isn’t one that clarifies a topic that someone got wrong (although I do love that, ...
Artificial intelligence (AI) and computational modeling are transforming the landscape of neuroscience, offering unprecedented opportunities to detect, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback