Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

Why OpenAI's 'goblin' problem matters — and how you can release the goblins on your own

If OpenAI can accidentally train its flagship model to obsess over goblins, what other more subtle and potentially harmful ...
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How AI Is Rewriting the Rules of Excel and Business Computing in 2026

If you are a university student preparing for a career in finance or data analytics, the skills you are learning in your business computing and Excel courses are undergoing a radical transformation.
IEEE

Practical Reinforcement Learning Using Time-Efficient Model-Based Policy Optimization

Abstract: In this paper, we propose practical model-based policy optimization (PMBPO) to address the time efficiency issue caused by overly frequent model updates in recent probabilistic model-based ...
Microsoft

Learn to use AI for coding with Copilot

Learning to code used to start with a blank file or by piecing together bits of sample code from tutorials. Now, with Microsoft Copilot, you can start coding with a conversation. Copilot helps you ...
IEEE

Model-Free Reinforcement Learning for Optimal Control of Switched Systems

Abstract: Switched systems pose a challenge for conventional deterministic dynamic optimization methods given the requirement for an accurate process model. In this paper, we propose a model-free ...