An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

String.com, launched this week by the Pipedream team, allows users to describe in plain English the AI agent they want, and the platform instantly crafts, tests and deploys fully functional agents ...

X is now planning to change their API pricing scheme to a revenue share model, according to a number of companies and third-party developers that pay for X API access who reached out to Mashable.

The Geena Davis Institute (GDI), in partnership with the CAPE (Coalition of Asian Pacifics in Entertainment) and the IW Group, is proud to release new research from the 2025 Rewriting the Script ...

The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.8+ application. The library includes type definitions for all request params and response fields, and ...

On Tuesday, ServiceNow and Nvidia launched Apriel Nemotron 15B, a new, open-source reasoning language model (LLM) built to deliver lower latency, lower inference costs, and agentic AI.

Revealed at ServiceNow’s Knowledge 2025 event, this model aims to lower latency and inference costs while accelerating AI performance.

In addition to AI Control Tower, ServiceNow also introduced AI Agent Fabric, a solution that delivers new levels of agent-to-agent and multi-model communication and collaboration.

AI Control Tower: A centralized command center to govern, manage, secure, and realize value from any ServiceNow and third‑party AI agent, model, and workflow on a unified platform.

At its inaugural LlamaCon AI developer conference on Tuesday, Meta announced an API for its Llama series of AI models: the Llama API.

ServiceNow’s stock fell during the quarter, driven by the announcement that its much anticipated AI Agents offering is going to be offered as a consumption-based model, vs the expected seat ...