What if AI-assisted development is less of a threat, and more of a jetpack? This month’s report tackles vibe coding, along with new JavaScript tools and techniques to explore in your AI-assisted free ...

Analysis of variance (ANOVA) is a classical statistics technique that's used to infer if the unknown means (averages) of three or more groups are likely to all be equal or not, based on the variances ...

Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India Indian Institute of Technology Delhi-Abu Dhabi, Khalifa City B 20010, Abu Dhabi, UAE ...

We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w, w_prev) subject to: 1. Σwᵢ = 1 (budget ...

Zohran Mamdani, who is currently leading the race to become mayor of New York City, has launched a “Game Over Greed” petition that calls on FIFA to abandon its plan to use dynamic pricing for the 2026 ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design and ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Once the domain of esoteric scientific and business computing, floating point calculations are now practically everywhere. From video games to large language models and kin, it would seem that a ...

This project implements a Dynamic Programming (DP) solution for optimal inventory control, inspired by fundamental principles in Dimitri Bertsekas's work on "Lessons from AlphaZero for Optimal, Model ...