Category: AI News

[ad_1] In the fast-moving world of agentic workflows, the most powerful AI model is still only as good as its documentation. Today, Andrew Ng and his team at DeepLearning.AI officially launched Context Hub, an open-source tool designed to bridge the gap between an agent’s static training data and the rapidly evolving reality of modern APIs.…

[ad_1] Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents operating inside the world's largest organizations. Both become available on May 1st, alongside Wave 3 of Microsoft 365 Copilot, which expands the company's agentic…

[ad_1] Private equity runs on judgment–and judgment, it turns out, is extraordinarily hard to scale. Decades of deal memos, underwriting models, partner notes, and portfolio data are scattered across systems that were never designed to communicate with each other. Every time a new deal crosses a firm’s desk, analysts start from scratch, even when the…

[ad_1] In this tutorial, we build a complete cognitive blueprint and runtime agent framework. We define structured blueprints for identity, goals, planning, memory, validation, and tool access, and use them to create agents that not only respond but also plan, execute, validate, and systematically improve their outputs. Along the tutorial, we show how the same…

[ad_1] As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a new VentureBeat Beyond the Pilot podcast episode. Whereas traditional AI harnesses have tended to constrain models from running in loops and calling…

[ad_1] Scaling intelligent automation without disruption demands a focus on architectural elasticity, not just deploying more bots. At the Intelligent Automation Conference, industry leaders gathered to dissect why many automation initiatives stall after pilot phases. Speaking alongside representatives from NatWest Group, Air Liquide, and AXA XL, Promise Akwaowo, Process Automation Analyst at Royal Mail, grounded…

[ad_1] Microsoft has released Phi-4-reasoning-vision-15B, a 15 billion parameter open-weight multimodal reasoning model designed for image and text tasks that require both perception and selective reasoning. It is a compact model built to balance reasoning quality, compute efficiency, and training-data requirements, with particular strength in scientific and mathematical reasoning and understanding user interfaces. https://arxiv.org/pdf/2603.03975 What…

[ad_1] What's old is new: the command line — the original, clunky non-graphical interface for interacting with and controlling PCs, where the user just typed in raw commands in code — has become one of the most important interfaces in agentic AI. That shift has been driven in part by the rise of coding-native tools…

[ad_1] Artificial intelligence is moving from pilot projects to core business systems inside large companies. One example comes from JPMorgan Chase, where rising AI investment is helping push the bank’s technology budget toward about US$19.8 billion in 2026. The spending plan reflects a broader shift among large enterprises. AI is no longer treated as a…

[ad_1] How can a trillion-parameter Large Language Model achieve state-of-the-art enterprise performance while simultaneously cutting its total parameter count by 33.3% and boosting pre-training efficiency by 49%? Yuan Lab AI releases Yuan3.0 Ultra, an open-source Mixture-of-Experts (MoE) large language model featuring 1T total parameters and 68.8B activated parameters. The model architecture is designed to optimize…