Z.ai's open source GLM-Image beats Google's Nano Banana Pro at complex text rendering, but not aesthetics

Furthermore, Nano Banana Pro still edged out GLM-Image in terms of pure aesthetics — using the OneIG benchmark, Nano Banana 2 ...

The 11 runtime attacks breaking AI security — and how CISOs are stopping them

CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a ...
CIO

Delivering resilience and continuity for AI

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...
Security Boulevard

Real-time threat detection for post-quantum AI inference environments.

Explore real-time threat detection in post-quantum AI inference environments. Learn how to protect against evolving threats and secure model context protocol (mcp) deployments with future-proof ...
Microsoft

TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge

Ternary quantization has emerged as a powerful technique for reducing both computational and memory footprint of large language models (LLM), enabling efficient real-time inference deployment without ...
KXAN

Embedl sets a new standard for on-device LLM inference, releasing the world's fastest language models for the edge

We announce FlashHead, a technical breakthrough that makes Llama-3.2, Gemma-3, and Qwen-3 the world’s fastest models for on-device inference. The technology, “FlashHead: Efficient Drop-in Replacement ...