Devdiscourse

How AI integration in biosensors enhances food safety and accuracy

AI-powered biosensors can analyze intricate datasets from sensors in real time. Machine learning and deep learning algorithms ...
Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World ...

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
Marketplace

Could deep-learning algorithms help us prepare for the Big One?

Researchers have created tools to get us closer to predicting earthquakes, but Caltech’s Egill Hauksson says that in this field, putting research into practice can be a challenge. Contrary to what you ...
news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
Morningstar

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting ...

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...

Study Abroad: Admissions open for ‘MSc Machine learning & Deep Learning’ at University ...

The course is aimed at helping students develop a deep understanding of machine learning principles & deep neutral network ...