Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

Abstract: Hardware Trojans in high level synthesis (HLS) generated intellectual property (IP) designs pose significant security threats. The HLS frameworks, while enabling efficient hardware design ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...