AI’s Real Bottleneck Isn’t Algorithms, It’s The Rare Earths Of Data

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...
Northwestern's McCormick School of Engineering

Sidhanth Mohanty Wins Best Paper Award at FOCS 2025

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.
IEEE

Optimal Secure Control for Cyber-Physical Systems Under False Data Injection Attacks via Incremental Iterative Q-Learning Algorithm

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
Harvard Business Review

How Pioneering Boards Are Using AI

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
Microsoft

VeriStruct: AI-assisted Automated Verification of Data-Structure Modules in Verus

We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs a planner module to ...
IEEE

SSAVI-GMM: An Automatic Algorithm for Mapping Submerged Aquatic Vegetation in Shallow Lakes Using Sentinel-1 SAR and Sentinel-2 MSI Data

Abstract: Submerged aquatic vegetation (SAV) is crucial for maintaining a clear-water state in lakes. Tracking the spatiotemporal changes in SAV is crucial for understanding the ecological evolution, ...