Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Abstract: This study presents a new technique that integrates LabVIEW and Python to enhance the control of DC motor drives through the utilization of machine learning methods. The objective of our ...

HO CHI MINH – In recent years, many general education schools in HCM City have proactively integrated artificial intelligence ...

Gone are the days when Windows was always the number one target for cybercriminals - as new research has found macOS is ...

The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...

In 2026, artificial intelligence skills sit on the short list for promotions in analytics, product, and operations. Teams want people who can frame the right problem, choose workable models, and ...

BITS Pilani has launched 2 new courses on AI, Machine Learning and Cybersecurity. The enrolment process is ongoing on ...

This week’s cybersecurity recap highlights key attacks, zero-days, and patches to keep you informed and secure.

AutoPentestX is an open-source Linux penetration testing toolkit that automates scanning, CVE mapping, and reporting without unsafe exploitation.

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...