In Chasing Biological Efficiency, Innovators Are Turning To “Analog”

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.
IEEE

Efficient Neural Architecture Search for Split Computing via Supernet Fine-Tuning

Abstract: Split Computing (SC) is a method that partitions a deep neural network into a head model running on resource-constrained edge devices and a tail model executing on powerful servers. The edge ...
IEEE

Machine Learning Techniques for Stock Market Prediction: Neural Networks and Soft Computing Approaches

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...