Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Frontiers

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

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

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
MIT Technology Review

A new way to build neural networks could make AI more understandable

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
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Meet Neurosymbolic AI, Amazon’s Method for Enhancing Neural Networks

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...
VentureBeat

Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new neural-network architecture developed ...
Business Wire

DeepSig Announces Commercial Release of Industry’s First Neural Receiver Software for Open RAN 5G Networks

BARCELONA, Spain--(BUSINESS WIRE)--DeepSig, a pioneer in AI-native wireless communications, announced today at Mobile World Congress the general availability (GA) of its Gen 1 OmniPHY® 5G software.