Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
InfoWorld

Best practices for using AI to generate C# code

AI can generate C# code far faster than you can fix it. Follow these best practices to ensure that your AI-generated C# is ...
Dark Reading

AI-Assisted Exploit Development Outpaces Scanner Detection

Attackers have reduced the time to develop an exploit for a known vulnerability from 125 days to a mere half a day, thanks to the use of AI-assisted development, leaving vulnerability scanners ...
IEEE

Detecting Suspicious Activity in the NFT Ecosystem Using Temporal Graph Analysis

Abstract: Illicit activities and coordinated manipulations in the Non-Fungible Tokens (NFT) market remain significant concerns, driven by the pseudonymous and publicly transparent nature of blockchain ...
Frontiers

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Wareable

Ultrahuman partners with Sleep Cycle to deliver snoring and cough detection

Smart ring maker Ultrahuman is launching a major new feature focused on respiratory health, partnering with sleep tracking giant Sleep Cycle to detect snoring and coughing via the Ultrahuman Ring Air.
Quanta Magazine

A New Bridge Links the Strange Math of Infinity to Computer Science

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...