Frontiers

Predictive Computational Models in Anesthesia and Coma

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...
The Business & Financial Times on MSN

AI and the future of supply chains

By Kofi O. ASENSOIn recent years, supply chains have transformed from simple logistical systems into complex, data-driven ecosystems. The disruptions caused by the global pandemic, trade tensions, and ...
IEEE

Gradient Descent Algorithm Based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Visordown

Ducati’s Ai-driven predictive maintenance could reshape service intervals

Ducati is rethinking one of motorcycling’s fixed rules, with a new Ai-driven system that tailors service intervals to how a ...
IndustryWeek

Edge AI in Predictive Maintenance: A Look at Workflows, Challenges and Outcomes

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...
Crypto Briefing

Carissa Véliz: Predictive technologies require enlightened decision-making, algorithmic hiring can perpetuate biases, and academic fraud undermines integrity …

Predictive technologies require a more enlightened approach to decision-making. The unpredictability of significant life ...

Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
The Daily Free Press

Are you smarter than the algorithm? How predictive models are changing Boston sports, March Madness and more

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...
Jurist

Can Algorithms Respect Human Dignity? The Problem with Predictive Justice

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...
MediaPost

How Marketing Mix Modeling Is Becoming A Must-Have Predictive Tool

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...
GitHub

A comprehensive implementation of self-supervised reinforcement learning algorithms including contrastive learning, predictive models, and representation learning for RL tasks.

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...
Scientific Research Publishing

Supervised Machine Learning Predictive Modeling of Survival Times of Malignant Glioma Patients ()

1 Department of Mathematics & Statistical Sciences, Jackson State University, Jackson, MS, USA. 2 Department of Public Health, California State University, Fullerton ...