A new benchmark pitting AI against previously unseen maths problems shows systems still fall short of top human expertise.

Overview: An algorithm is a step-by-step set of instructions that takes an input and produces a clear output, just like a ...

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Sitting in his offices in Pennsylvania as he preps the second season of his hit HBO crime drama series Task, ...

This chapter reviews recent advances in the task model and shows how this framework can be put to work to understand trends in the labor market in recent decades. Production in each industry requires ...

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...

Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. He’s 23 years old and has no advanced mathematics training. What he does have is a ChatGPT ...

I have been thinking about a question that nobody in enterprise software seems to want to sit with: why can the most advanced AI models in the world solve Olympiad-level mathematics but fail to ...

Creating self-improving AI systems is an important step toward deploying agents in dynamic environments, especially in enterprise production environments, where tasks are not always predictable, nor ...

Abstract: Under the current fluctuating market environment, the production industry is facing increasing complexity in product production decisions. For this concern, this study aims to find an ...