Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Psychology TodayOpinion

Is Algorithmic Asymmetry Reshaping How We Think?

Algorithms are growing ever stronger. They measure and project mirrors of a pattern that once looked like someone adjacent to ...
Justdial on MSN

Understanding the types of machine learning and their power in AI

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table

Meta on Wednesday announced its first major model since CEO Mark Zuckerberg rebooted the company’s AI efforts last year under ...
Independent Newspaper Nigeria on MSN

AI vs machine learning: What actually separates them in 2026?

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.
IEEE

A Reinforcement Learning Algorithm for Safety Decision Making in Autonomous Driving Systems with Reward Machine Guidance

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
Machine Design

What’s the Difference Between Punching and Laser Cutting in Electrode Production?

This article explores how laser cutting and mechanical punching perform when used in electrode manufacturing and other foil-based applications in terms of speed, edge quality, material compatibility ...
IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...