Like a cheat code for your car: We investigate ECU tuning

As modern vehicles become increasingly software-driven and OEMs continue to tighten security, the company has had to work ...
JD Supra

Collusion by Code: What DOJ’s Algorithmic Pricing Enforcement Means for the Energy Sector

INTRODUCTION - On May 14, 2026, Acting Deputy Assistant Attorney General for Criminal Enforcement Daniel Glad delivered remarks ...

RedReplier Launches AI Reddit Monitoring and Generative Engine Optimization Tool That Finds Buyers and Gets Brands Cited by ChatGPT, Claude, and Gemini

RedReplier is an AI-powered Reddit monitoring and social listening tool that watches Reddit, X, Bluesky, and Hacker ...
www.hks.harvard.edu

Dean Jeremy Weinstein encourages the Class of 2026 to revitalize the technology of democracy in an age of optimization

“We don’t get to choose the biggest challenges of our time—we only choose how we respond to them,” Dean Jeremy Weinstein told the 613 master’s students and 19 PhD students from 80 countries and 36 ...
The Earth Institute Columbia University

E4650 Convex Optimization for Electrical Engineering

Note: The official name for the course is “Convex optimization for electrical engineering”. However, the course is suitable for any student within SEAS (or beyond) provided you satisfy the math ...
GitHub

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Gradient Centralization (GC) is a simple and effective optimization technique for Deep Neural Networks (DNNs), which operates directly on gradients by centralizing the gradient vectors to have zero ...
Microsoft

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in ...
IEEE

An Optimization Framework With Imbalance-Ratio and Position for Imbalanced Noisy Classification

Abstract: Imbalanced classification and label noise are two problems in machine learning and data mining. These two problems are widely present in real-world datasets. Data oversampling constitutes ...
Frontiers

Optimization of nursing staff standards in the perioperative settings of the IRCCS University Hospital of Bologna. An improvement project

The organization of healthcare staff within operating block settings, which accommodate various surgical specialties, must consider the growing shortage of personnel and the need for resource ...