NVIDIA AI Open-Sourced KVzap: A SOTA KV Cache Pruning Method that Delivers near-Lossless 2x-4x Compression
As context lengths move into tens and hundreds of thousands of tokens, the key value cache in transformer decoders becomes...
AI News
Claude Code just got updated with one of the most-requested user features
Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and...
Meeting the new ETSI standard for AI security
The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks.As organisations...
Breaking through AI’s memory wall with token warehousing
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus:...
McKinsey tests AI chatbot in early stages of graduate recruitment
Hiring at large firms has long relied on interviews, tests, and human judgment. That process is starting to shift. McKinsey...
DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs
Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They...
OpenAI, Google, Anthropic Launch Tools
OpenAI, Google, and Anthropic announced specialised medical AI capabilities within days of each other this month, a clustering that suggests...
Z.ai's open source GLM-Image beats Google's Nano Banana Pro at complex text rendering, but not aesthetics
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for...
How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent Workflows
In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless...
AI agents can talk — orchestration is what makes them work together
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing...
AstraZeneca bets on in-house AI to speed up oncology research
Drug development is producing more data than ever, and large pharmaceutical companies like AstraZeneca are turning to AI to make...
Research shows UK young adults would use AI for financial guidance
Research from Cleo AI indicates that young adults are turning to artificial intelligence for financial advice to help them manage...
Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for Developers
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released...
Why Sakana AI’s big win is a big deal for the future of enterprise agents
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest...
DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups
When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed...
How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test LLM Safety Using Garak
In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave...
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric...
Anthropic Releases Cowork As Claude’s Local File System Agent For Everyday Work
Anthropic has released Cowork, a new feature that runs agentic workflows on local files for non coding tasks currently available...
Why Egnyte keeps hiring junior engineers despite the rise of AI coding tools
Egnyte, the $1.5 billion cloud content governance company, has embedded AI coding tools across its global team of more than...
Tackling workforce anxiety for AI integration success
Navigating workforce anxiety remains a primary challenge for leaders as AI integration defines modern enterprise success.For enterprise leaders, deploying AI...
Understanding the Layers of AI Observability in the Age of LLMs
Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such...
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification...
