Microsoft has launched a public preview that permits Azure Logic Apps (Standard) to run as Model Context Protocol (MCP) servers, exposing Logic Apps workflows as agent instruments discoverable and callable by MCP-capable purchasers (e.g., VS Code + Copilot). What’s really transport Remote MCP server on Logic Apps (Standard): You configure a Standard logic app to…
Perplexity launched “Email Assistant,” an AI agent that plugs into Gmail and Outlook to draft replies in your voice, auto-label and prioritize messages, and coordinate conferences end-to-end (availability checks, time recommendations, and calendar invitations). The characteristic is restricted to Perplexity’s Max plan and is dwell right this moment. What it does? Email Assistant provides an…
The Universal Tool Calling Protocol (UTCP) is a light-weight, safe, and scalable method for AI brokers and functions to seek out and name instruments immediately, with out the want for extra wrapper servers. Key Features Lightweight and safe – Allows instruments to be accessed immediately, avoiding pointless center layers. Scalable – Can help numerous instruments…
Coral Protocol has launched Coral v1 of its agent stack, aiming to standardize how builders uncover, compose, and function AI brokers throughout heterogeneous frameworks. The launch facilities on an MCP-based runtime (Coral Server) that permits threaded, mention-addressed agent-to-agent messaging, a developer workflow (CLI + Studio) for orchestration and observability, and a public registry for agent…
xAI launched Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors right into a single set of weights controllable by way of system prompts. The mannequin targets high-throughput search, coding, and Q&A with a 2M-token context window and native tool-use RL that decides when to browse the net, execute code, or name…
Sensible Agent is an AI analysis framework and prototype from Google that chooses each the motion an augmented actuality (AR) agent ought to take and the interplay modality to ship/verify it, conditioned on real-time multimodal context (e.g., whether or not arms are busy, ambient noise, social setting). Rather than treating “what to recommend” and “tips…
As AI agents achieve autonomy, the necessity for explainability and transparency has by no means been extra pressing. In a current panel dialogue, 4 AI consultants (Keshavan Seshadri, Senior Machine Learning Engineer at Prudential Financial; Pankaj Agrawal, Staff Software Engineer at LinkedIn; Dan Chernoff, Data Scientist at Parallaxis; and Saradha Nagarajan, Senior Data Engineer at…
Table of contents What Do We Mean by “Physical AI”? How Do Materials Contribute to Intelligence? What New Sensing Technologies Are Powering Embodiment? Why Is Neuromorphic Computing Relevant for Physical AI? How Are Foundation Policies Changing Robot Learning? How Does Differentiable Physics Enable Co-Design? How Can We Assure Safety in Physical AI? What Benchmarks Are…
Production-grade agents stay or die on information plumbing, controls, and observability—not on mannequin alternative. The doc-to-chat pipeline under maps the concrete layers and why they matter. What is a “doc-to-chat” pipeline? A doc-to-chat pipeline ingests enterprise paperwork, standardizes them, enforces governance, indexes embeddings alongside relational options, and serves retrieval + era behind authenticated APIs with…
AI brokers are not simply chatbots that spit out solutions. They’re evolving into advanced techniques that may motive step-by-step, name APIs, replace dashboards, and collaborate with people in actual time. But this raises a key query: how ought to brokers speak to consumer interfaces? Ad-hoc sockets and customized APIs can work for prototypes, however they…