The AI Paradox: Why World-Class Algorithms Fail On Second-Class Data

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
Opinion
Tech XploreOpinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Northwestern's McCormick School of Engineering

Adaptive Algorithm Aims to Reduce Kidney Discards and Improve Transplant Access

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
IEEE

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...
Quanta Magazine

The AI Revolution in Math Has Arrived

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
India Today

The geometry of power: Algorithmic sovereignty in the 21st Century

Every epoch in human history has had its equation of power. The variables of the 21st century are data, compute, and models.
IEEE

Gradient-Descent-Based STDM-VSIMM Filter for Maneuvering Target Tracking

Abstract: In this article, we propose a maneuvering target tracking algorithm based on the sojourn-time-dependent semi-Markov variable structure interacting multiple model (STDM-VSIMM) filter. Due to ...