Tech Xplore

Smarter machine-learning models can improve phishing website detection

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Interesting Engineering on MSN

Algorithms at war: 5 ways to protect your data from AI-powered malware in 2026

AI-powered malware in 2026 has evolved far beyond traditional viruses. Instead of static code, ...
ascopubs.org

Liquid Biopsy Approaches for Cancer Characterization, Residual Disease Detection, and Therapy Monitoring

Liquid biopsy encompasses a variety of molecular approaches to detect circulating tumor DNA (ctDNA) and has become a powerful tool in the diagnosis and treatment of solid tumors. Current applications ...
eWeek

The 8 Best AI Detection Tools in 2026

Discover the best AI content detectors in 2026. Compare Winston AI, GPTZero, Originality.AI, and more for accuracy, trust, ...
Bleeping Computer

Viral Moltbot AI assistant raises concerns over data security

Security researchers are warning of insecure deployments in enterprise environments of the Moltbot (formerly Clawdbot) AI assistant, which can lead to leaking API keys, OAuth tokens, conversation ...
PC Magazine

Windows 10 Security Alert: Do This Now to Reduce Your Risk of Being Hacked

Now that Windows 10 has reached the end of support, it's increasingly appealing to cybercriminals. While upgrading is recommended, you don't have to switch immediately—here's how you can keep your ...
2 Minute Medicine

Deep-learning models displayed expert-level accuracy in detecting epileptiform discharges on electroencephalogram (EEG) recordings

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...