Tech Xplore

Testing the limits of what's possible (and what isn't) with AI

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...
Interesting Engineering

New quantum algorithm could unlock faster AI and scientific computing

Quantum Hermite transform is a new quantum algorithm that could improve AI, simulations, and future quantum computing ...
Scientific American

Mathematicians still don’t know the fastest way to multiply numbers

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
JD Supra

USPTO to Clarify Patent Eligibility for AI-Related Inventions

The United States Patent and Trademark Office (USPTO) is changing how examiners review software inventions, especially those involving ...
IEEE Spectrum on MSN

AI is designing radio chips that humans couldn’t even imagine

Freed from intelligibility and aesthetics, AI designs faster ...
The Lancet

Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in Kenya and Senegal on referral and ...

Acute illnesses are leading causes of death among children under-five, who often receive antibiotics unnecessarily, contributing to antimicrobial resistance. Pulse oximetry and digital Clinical ...
IEEE

A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems

Abstract: Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted ...
IEEE

A Hybrid Method for Traffic Incident Detection Using Random Forest-Recursive Feature Elimination and Long Short-Term Memory Network With Bayesian Optimization Algorithm

Abstract: Automatic Incident Detection (AID) is an important part of Intelligent Transportation Systems (ITS). A hybrid AID method using Random Forest-Recursive Feature Elimination (RF-RFE) algorithm ...