Oracle converges the AI data stack to give enterprise agents a single version of truth
Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built...
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How to Build a Vision-Guided Web AI Agent with MolmoWeb-4B Using Multimodal Reasoning and Action Prediction
def parse_click_coords(action_str): """ Extract normalised (x, y) coordinates from a click action string. e.g., 'click(0.45, 0.32)' -> (0.45, 0.32) Returns...
Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal...
How xMemory cuts token costs and context bloat in AI agents
Standard RAG pipelines break when enterprises try to use them for long-term, multi-session LLM agent deployments. This is a critical...
Family offices turn to AI for financial data insights
To gain financial data insights, the majority of family offices now turn to AI, according to new research from Ocorian....
AI agents enter banking roles at Bank of America
AI agents are starting to take on a more direct role in how financial advice is delivered, as large banks...
NVIDIA AI Introduces PivotRL: A New AI Framework Achieving High Agentic Accuracy With 4x Fewer Rollout Turns Efficiently
Post-training Large Language Models (LLMs) for long-horizon agentic tasks—such as software engineering, web browsing, and complex tool use—presents a persistent...
Ai2 releases MolmoWeb, an open-weight visual web agent with 30K human task trajectories and a full training stack
Engineers building browser agents today face a choice between closed APIs they cannot inspect and open-weight frameworks with no trained...
Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss
The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM....
Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster
Web infrastructure giant Cloudflare is seeking to transform the way enterprises deploy AI agents with the open beta release of...
OpenAI is shutting down Sora, its powerful AI video model, app and API
OpenAI is shuttering Sora, its stand-alone AI video generation app and social network, and the availability for developers to access...
Securing AI systems under today’s and tomorrow’s conditions
Evidence cited in an eBook titled “AI Quantum Resilience”, published by Utimaco , shows organisations consider security risks as the...
Paged Attention in Large Language Models LLMs
When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because each request requires a...
Anthropic’s Claude can now control your Mac, escalating the fight to build AI agents that actually do work
Anthropic on Monday launched the most ambitious consumer AI agent to date, giving its Claude chatbot the ability to directly...
Automating complex finance workflows with multimodal AI
Finance leaders are automating their complex workflows by actively adopting powerful new multimodal AI frameworks.Extracting text from unstructured documents presents...
Liquid-cooled AI systems expose the limits of traditional storage architecture
Presented by SolidigmLiquid cooling is rewriting the rules of AI infrastructure, but most deployments have not fully crossed the line....
Luma AI launches Uni-1, a model that outscores Google and OpenAI while costing up to 30 percent less
The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set...
Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling
World Models (WMs) are a central framework for developing agents that reason and plan in a compact latent space. However,...
Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source
The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest...
Luma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
In the field of generative AI media, the industry is transitioning from purely probabilistic pixel...
What is DeerFlow 2.0 and what should enterprises know about this new, powerful local AI agent orchestrator?
ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI...
Meta AI’s New Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn
The dream of recursive self-improvement in AI—where a system doesn’t just get better at a task, but gets better at...
