Microsoft's newly released Agent Framework Harness packages the loops, planning, memory, context management and safety controls that developers previously had to assemble around AI models themselves.
The NCAA Division I Cabinet has unanimously voted to approve the age-based eligibility model, sources tell On3. It’s a landmark moment for the NCAA, marking a shift away from the model that allowed ...
Last month, Anthropic announced a billing change that would have substantially increased costs for heavy users of its automation-focused Claude Agent SDK, including many third-party apps. On Monday, ...
Decarbonizing China’s steel industry is critical for achieving global climate goals, yet conventional models often fail to capture the complex, firm-level decisions that drive this transition. We ...
Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to ...
Convicted sex offender Jeffrey Epstein had just been released from jail in 2009 when a friend suggested a possible “coming out gift”: a 5-foot-11-inch model with an “amazing” body. “I was blown away ...
The modern AI engineering landscape is experiencing severe API fatigue. The prevailing trend in multi-agent orchestration leans heavily on massive cloud dependencies, centralized vector databases, and ...
This study aims to compare the effectiveness of various centrality-based peer-targeting strategies in promoting physical activity (PA) among adolescents and identify practical principles for ...
For years, WhatsApp has been a communication layer for businesses of all sizes around the world. Meta is now infusing AI into that layer in a bid to turn WhatsApp into a viable piece of workflow ...
In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute ...
Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose ...
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