A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

AI Executive. Washington, Feb 15 (IANS) As India prepares to host the AI Impact Summit next week, Jeff Cotten, President and CEO at AI-powered SaaS solutions provider PROS, said India must invest more ...

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

There’s been a bunch of exciting research-focused AI labs popping up in recent months, and Flapping Airplanes is one of the ...

As AI systems take on safety-relevant roles, demonstrating compliance and explainability is increasingly a prerequisite for market access, partnerships and scale.

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Bringing AI agents and multi-modal analysis to SAST dramatically reduces the false positives that plague traditional SAST and rules-based SAST tools.

AI pentesting grows with chatbot adoption, with free Arcanum labs and Docker setups, a practical path for beginners. Ethical ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

Explore the future of embedded systems development with Claude Code. Learn how AI tools could deliver high-quality code faster.