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...
AI News
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...
Agentic AI in healthcare: How Life Sciences marketing could achieve $450B in value by 2028
Agentic AI in healthcare is graduating from answering prompts to autonomously executing complex marketing tasks – and life sciences companies...
Alibaba Open-Sources Zvec: An Embedded Vector Database Bringing SQLite-like Simplicity and High-Performance On-Device RAG to Edge Applications
Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads....
The missing layer between agent connectivity and true collaboration
Today's AI challenge is about agent coordination, context, and collaboration. How do you enable them to truly think together, with...
Chinese hyperscalers and industry-specific agentic AI
Chinese hyperscalers have defined a distinct trajectory for agentic AI, combining language models with frameworks and infrastructure tailored for autonomous...
Nvidia releases DreamDojo, a robot ‘world model’ trained on 44,000 hours of human video
A team of researchers led by Nvidia has released DreamDojo, a new AI system designed to teach robots how to...
How to Build a Privacy-Preserving Federated Pipeline to Fine-Tune Large Language Models with LoRA Using Flower and PEFT
!pip -q install -U "protobuf<5" "flwr" transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes...
OpenAI's new Codex app hits 1M+ downloads in first week — but limits may be coming to free and Go users
In a major milestone for the "AI coding wars," OpenAI CEO Sam Altman confirmed on X that the company's standalone...
Goldman Sachs tests autonomous AI agents for process work
Goldman Sachs is pushing deeper into real use of artificial intelligence inside its operations, moving to systems that can carry...
Microsoft AI Proposes OrbitalBrain: Enabling Distributed Machine Learning in Space with Inter-Satellite Links and Constellation-Aware Resource Optimization Strategies
Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground...
What AI builders can learn from fraud models that run in 300 milliseconds
Fraud protection is a race against scale. For instance, Mastercard’s network processes roughly 160 billion transactions a year, and experiences surges...
Cryptocurrency markets a testbed for AI forecasting models
Cryptocurrency markets have become a high-speed playground where developers optimise the next generation of predictive software. Using real-time data flows...
AI's GPU problem is actually a data delivery problem
Presented by F5As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources...
Chinese AI Models Power 175,000 Unprotected Systems as Western Labs Pull Back
Because Western AI labs won’t—or can’t—anymore. As OpenAI, Anthropic, and Google face mounting pressure to restrict their most powerful models, Chinese developers...
