Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy
Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up...
AI News
Is This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today
Google announced a major update to Gemini 3 Deep Think today. This update is specifically built to accelerate modern science,...
MiniMax's new open M2.5 and M2.5 Lightning near state-of-the-art while costing 1/20th of Claude Opus 4.6
Chinese AI startup MiniMax, headquartered in Shanghai, has sent shockwaves through the AI industry today with the release of its...
OpenAI deploys Cerebras chips for 15x faster code generation in first major move beyond Nvidia
OpenAI on Thursday launched GPT-5.3-Codex-Spark, a stripped-down coding model engineered for near-instantaneous response times, marking the company's first significant inference...
Google Chrome ships WebMCP in early preview, turning every website into a structured tool for AI agents
When an AI agent visits a website, it’s essentially a tourist who doesn’t speak the local language. Whether built on...
State-Sponsored Hackers Exploit AI in Cyberattacks: Google
State-sponsored hackers are exploiting AI to accelerate cyberattacks, with threat actors from Iran, North Korea, China, and Russia weaponising models...
Why enterprise IT operations are breaking — and how AgenticOps fixes them
Presented by Cisco AI agents are breaking traditional IT operations models, adding complexity, data silos, and fragmented workflows. DJ Sampath,...
How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation
In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the earliest dimensions of the...
MIT's new fine-tuning method lets LLMs learn new skills without losing old ones
When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain...
z.ai's open source GLM-5 achieves record low hallucination rate and leverages new RL 'slime' technique
Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5.The latest...
Anthropic’s Claude Cowork finally lands on Windows — and it wants to automate your workday
Anthropic released its Claude Cowork AI agent software for Windows on Monday, bringing the file management and task automation tool...
Red Hat unifies AI and tactical edge deployment for UK MOD
The UK Ministry of Defence (MOD) has selected Red Hat to architect a unified AI and hybrid cloud backbone across...
How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining
In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting,...
NanoClaw solves one of OpenClaw's biggest security issues — and it's already powering the creator's biz
The rapid viral adoption of Austrian developer Peter Steinberger's open source AI assistant OpenClaw in recent weeks has sent enterprises...
How insurance leaders use agentic AI to cut operational costs
Agentic AI offers insurance leaders a path to scalable efficiency as the sector confronts a tough digital transformation.Insurers hold deep...
Barclays bets on AI to cut costs and boost returns
Barclays recorded a 12 % jump in annual profit for 2025, reporting £9.1 billion in earnings before tax, up from...
NVIDIA Researchers Introduce KVTC Transform Coding Pipeline to Compress Key-Value Caches by 20x for Efficient LLM Serving
Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV) cache management. As models...
'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks
RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to...
Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design
Google Research is proposing a new way to build accessible software with Natively Adaptive Interfaces (NAI), an agentic framework where...
OpenAI upgrades its Responses API to support agent skills and a complete terminal shell
Until recently, the practice of building AI agents has been a bit like training a long-distance runner with a thirty-second...
How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples
section("6) pack unpack") B, Cemb = 2, 128 class_token = torch.randn(B, 1, Cemb, device=device) image_tokens = torch.randn(B, 196, Cemb, device=device)...
Is agentic AI ready to reshape Global Business Services?
Presented by EdgeVerveBefore addressing Global Business Services (GBS), let’s take a step back. Can agentic AI, the type of AI...
