In actual network attack and defense, the information between the two sides is often unbalanced and asymmetric, and the defender cannot fully understand the attacker's true intentions and attack ...

Affiliate content. AI detection software in 2025 has made significant strides in identifying machine-generated content, but ...

In a landscape of AI-proof malware and modular C2 kits, Jitter-Trap brings statistical rigor to catching post-compromise ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Through MCIT, NYU Langone faculty and staff have access to research-grade statistical software, including SPSS, JMP, SAS, R, ...

UNI-T announces the release of the UTS3000A Series Signal Analyzers, a spectrum analysis solution designed for complex RF ...

Keep your devices safe from malware, phishing and other threats with the best antivirus software -- researched and ranked by our team of CNET experts.

As compute workloads grow more complex and specialized, the traditional separation between hardware and software development is leading to inefficiencies, especially at scale. To address this, ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...