We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When AP ...

Embedded Anthropic engineers have spent six months at Goldman building autonomous systems for time-intensive, high-volume back-office work. The bank expects efficiency gains rather than near-term job ...

Google rolled out a brand new experimental AI tool last Thursday called Project Genie. By Friday, video game stocks were tumbling as a result. Gaming industry giants like Unity Software, Roblox, ...

Abstract: Client selection can result in more homogeneous data and improve the generalization performance of the global model. In the actual training environment, the heterogeneity of client devices ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

Abstract: Federated Learning (FL) has gained significant attention for enabling collaborative model training while preserving data privacy. However, protecting the intellectual property (IP) of models ...

The days of insurance carriers acting as casual observers in the startup ecosystem faded as the industry faced a tightening investment landscape and a deluge of new regulations. The engagement model ...

Iterable, the AI-native customer engagement platform, today unveiled the latest breakthrough in its rapidly expanding agentic marketing suite: the Model Context Protocol (MCP) Server. This new access ...

Nvidia is set to adjust its AI server ODM shipment model to exert tighter control over system assembly processes. Supply chain sources indicate that Taiwan's Wistron Group, Quanta, and Hon Hai ...

At Microsoft Build 2025, the Dynamics 365 ERP Model Context Protocol (MCP) server was introduced as a foundational step in connecting AI and enterprise resource planning (ERP) systems through a shared ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...