Extreme Learning Machines (ELMs) represent a class of feedforward neural networks distinguished by their rapid learning speed and analytical determination of output weights. Unlike conventional neural ...
When it comes to tech, most don't think too much about how things like NPUs and GPUs work. But the differences between them ...
Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with ...
An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
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Researchers Use Neural Networks for Accurate, Non-Contact Temperature Monitoring in Laser Systems
Researchers have developed a new machine learning-based technique that uses only spectral data to monitor laser temperature—no contact sensors required—opening the door to simpler, non-invasive ...
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