Harvard Business Review

Competing LLMs Were Asked to Pick Stocks. Their Choices Revealed AI’s Limitations.

Many executives already use gen AI as a thought-partner and c0-strategist. But are these tools reliable across markets? New ...
Scientific American

As AI keeps improving, mathematicians struggle to foretell their own future

First Proof is an effort to see whether LLMs can contribute meaningfully to pure mathematics research. The dust has settled ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
IEEE

A New Prediction Strategy for Dynamic Multiobjective Optimization Using Diffusion Model

Abstract: To solve dynamic multiobjective optimization problems (DMOPs), the optimization algorithms are required to track the movement of the Pareto set after the environmental changes effectively.
IEEE

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
Digital Trends

Google’s underrated NotebookLM tool is about to solve your diary mess

It seems that Google wants to give NotebookLM a makeover that could make messy projects and text-heavy notebooks more organized and visually appealing. A new visual customization feature now in ...
marktechpost

How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs

In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably ...