Autonomous or agentic artificial intelligence will create challenges for public trust in the technology. That is why building systems of accountability and safety is essential to AI’s future ...

The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent ...

MRAM memory design stores code and data in one chip, enabling boot, updates, and storage for AI, automotive, and more.

AI agents work together to bypass security controls and stealthily steal sensitive data from within the enterprise systems in which they operate, according to tests carried out by frontier security ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Artificial intelligence and machine learning (AI/ML) are no longer emerging capabilities inside enterprise environments. In ...

Genie Code turns data engineering, data science and analytics ideas into autonomous production systems SAN FRANCISCO, /PRNewswire/ -- Databricks, the Data and AI company, today launched Genie Code, an ...

Agentic AI is changing the enterprise security model. Experts explain emerging risks, governance challenges and how leaders ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

WCET analysis is essential for proving multicore real-time systems meet safety-critical deadlines under all operating conditions.

Highest maturity classification underscores GFT’s ability to embed AI directly into the execution layer of large-scale, ...

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...