Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Automation has moved from the factory floor to the inbox and beyond. Machine‑learning models now interpret invoices, approve ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Diffuse correlation spectroscopy and a machine learning algorithm can provide continuous blood pressure feedback, enabling ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

Most people are likely familiar with complicated “deep learning” models, like ChatGPT. Models to process small earthquakes ...

It’s impossible to ignore the tidal wave of excitement—and hype—surrounding generative AI. This revolutionary technology has ...