7 Ways New Engineers Can Flourish in the Age of AI

New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial ...
Harvard Business Review

Algorithms Need Managers, Too

Know how to get the most out of your predictive tools. by Michael Luca, Jon Kleinberg and Sendhil Mullainathan Most managers’ jobs involve making predictions. When HR specialists decide whom to hire, ...
TechRepublic

Big Data

Learn what revenue operations is, how RevOps aligns sales, marketing, customer success, and finance, and how to build a RevOps function that supports predictable growth. If you can only read one tech ...

DeepSWE blows up the AI coding leaderboard, crowns GPT-5.5, and finds Claude Opus exploiting a benchmark loophole

DeepSWE puts GPT-5.5 atop the AI coding leaderboard while raising new questions about Claude Opus, SWE-Bench Pro, and ...
Communications of the ACM

I Spent a Year Asking AI to Solve Math’s Hardest Problem. Here’s What Happened

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...
Investopedia

Data Smoothing: Definition, Uses, and Methods

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...
Investopedia

Basics of Algorithmic Trading: Concepts and Examples

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...