That gap has defined how healthcare technology has evolved. Systems of record capture data. Systems of engagement move data ...
Webull has launched a Model Context Protocol (MCP) server, enabling clients to interact with its OpenAPI using ...
Coinbase's new product allows AI agents to execute crypto trades, payments, and portfolio management tasks within ...
ZioNet founder Alon Fliess previews his Visual Studio Live! San Diego session on building true agentic systems in .NET -- covering the cognitive loop, MCP tool integration, multi-agent orchestration ...
A protocol that lets LLM agents safely control physical devices, down to dollar-class microcontrollers. Intent-level, transport-agnostic, capability-scoped. Compact wire format (sub-50-byte frames).
Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...
Abstract: The Model Context Protocol (MCP) has emerged as a universal standard that enables AI agents to seamlessly connect with external tools, significantly enhancing their functionality. However, ...
Alexa was viewed as convenient but limited, particularly for in-depth health queries. Platform choice was influenced by the seriousness of the health issue, context of use, and prior experience.
A 9.9-severity vulnerability in Flowise’s MCP stdio implementation can allow attackers to achieve remote code execution in ...
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Serverless architecture as the infrastructure backbone for AI agent deployment via model context protocol
The rapid evolution of large language model (LLM) deployment has surfaced a critical infrastructure gap: AI agents cap ...
Arkon is a self-hosted, enterprise-grade knowledge management layer that bridges organizational data and AI clients. It runs as a centralized MCP Server (Model Context Protocol), compiling your SOPs, ...
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