This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

The popularity of cryptocurrencies has led to the growth of browser extensions, including malicious ones that cause financial ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

There are several prerequisites for AI to be fully effective in SAP security: System hardening: This includes securing ...

Generative AI is transforming identity and access management by enabling adaptive authentication, real-time threat detection, and smarter cybersecurity.

AI is increasingly being used to detect hidden threats in computer chips, with researchers at the University of Missouri claiming their new method achieves a 97% success rate in identifying hardware ...

AI agents now make decisions and access systems on their own, creating identity blind spots traditional tools can't see.

Azure Blob Storage is a high-value target for threat actors due to its critical role in storing and managing massive amounts ...

Adversarial prompting refers to the practice of giving a large language model (LLM) contradictory or confusing instructions ...

In contrast, a DL model can offer precise, AI-generated coding suggestions for adverse events and concomitant medications at up to 99% accuracy. The model can adapt to different scenarios, removing ...

New York, NY, October 16th, 2025, FinanceWireYandex has developed the world's first AI solution to assess brain development ...

Revenue Gains from Strengthening Tax Administration”, produced with researchers from Harvard and the LSE, shows that ...