As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...

Every CEO I meet thinks their AI strategy is simple: implement tools, boost productivity, and stay competitive. The reality ...

Abstract. An old-school recipe for training a classifier is to (i) learn a good feature extractor and (ii) optimize a linear layer atop. When only a handful of samples are available per category, as ...

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...

As AI moves to operational reality, PLM companies are prioritizing faster decisions and agentic intelligence integration over ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Dec 16 2025 We released the preprint and Project Page for Sparse-LaViDa, an efficient optimization technique for training and sampling from unified multi-modal dLLMs based on LaViDa. Oct 2025: We ...

Abstract: According to ABET, one major student outcome is “an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider ...

It takes 200 individual steps to build each pair of frames by hand. If it's good enough for our fighter pilots, it's good enough for David Muir's Made in America Christmas. Randolph Engineering, ...

Abstract: In the software development life cycle, ensuring high-quality and reliable software is crucial for developers. Unreliable software can result in customer loss, decreased revenue, and ...

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves ...