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 ...

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 ...

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

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.

In the AI era, insurance can’t risk shared infrastructure, so we went single-tenant — and it turned isolation into a growth advantage.

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

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

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

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

Volcanoes can erupt suddenly, but satellite technology now detects hidden ground shifts and heat changes. This helps scientists monitor remote volcanoes where ground sensors are scarce. These advanced ...