It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Large-scale systems rely on heuristics to tackle NP-hard problems such as traffic engineering, virtual machine placement, and packet scheduling. While these heuristics are efficient, they can exhibit ...

When it comes to decision making, heuristics—mental shortcuts that can simplify decision making—often attract derision as ineffective because they are subjective or non-data-driven. However, I believe ...

[Maximilian Milovidov is a freshman at Columbia University and a member of TikTok's Youth Council. He used a large language model to edit this essay for length and a human to edit for content. This ...

The percentage of teachers who are using artificial intelligence-driven tools in their classrooms nearly doubled between 2023 and 2025, according to data from the EdWeek Research Center. In 2023, a ...

We are currently in the Fifth Industrial Revolution, driven by the fast and widespread adoption of AI. Like industrial revolutions before, the way we work is drastically changing, and we can unlock ...

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.

Have you ever spent hours wrestling with messy spreadsheets, trying to clean up data that just won’t cooperate? Or maybe you’ve found yourself manually merging files, painstakingly copying and pasting ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...