Artificial brains could point the way to ultra-efficient supercomputers

New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...
Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
IEEE

A Nearly Hamiltonian Neural Network-Enhanced Multi-Machine Power System Excitation Control

Abstract: The generalized Hamiltonian system theory (GHST) is a powerful tool for excitation control in high-dimensional non-linear power systems, but relies on reduced-order dynamics, given the ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

These Hearing Aids Will Tune in to Your Brain

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
IEEE

Penetration Testing and Machine Learning-Driven Cybersecurity Framework for IoT and Smart City Wireless Networks

Abstract: The Internet of Things (IoT) technology development speed, along with its integration into smart city infrastructure, requires strong cybersecurity solutions to protect important systems.