Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Lou Cohen emphasizes AI's potential in marketing, urging marketers to leverage it for improved audience segmentation and ad ...

Most teams can get an AI agent to look impressive in a demo. The hard part is shipping an agent that stays reliable once it’s exposed to real users, messy data and changing systems.

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

Discover how Infosys Finacle's CEO discusses AI's transformative role in making banking technology affordable for smaller institutions.

Infillion, an ad tech business built on M&A, is back with another acquisition. The latest move will help bring retail purchase data into its platform. The company announced on Monday that it has ...

Singapore is showing what it takes to make AI not just powerful, but reliable enough for the world’s most critical systems.

ZohoDay 2026 posed a serious challenge: how to present a compelling future, amidst doubts about whether enterprise software has a future. Zoho came out with strong positions on why SaaS is about risk ...

If emotion functions as an operating system of silicon-based life, its implications extend far beyond robots. It defines not a feature category, but a new computing paradigm: any device that senses, ...

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.

The reasons for the weak business success are systemic. The assumption of automatic cost savings is based on the experience ...