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, ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...

Dr. Lamas, a contributing Opinion writer, is a pulmonary and critical care physician at Brigham and Women’s Hospital in Boston. One night a few years ago, I watched a young man die over the course of ...

Abstract: Task offloading decision-making plays a crucial role in improving system performance in heterogeneous vehicular networks. This paper provides a systematic review of current research in the ...

ABSTRACT: Artificial Intelligence (AI) is rapidly transforming global politics and military security, offering both strategic advantages and unprecedented risks. Unlike nuclear or conventional arms, ...

Rotman School of Management’s Jennifer Riel shares a four-step process for making stronger choices. Jennifer Riel, an adjunct professor at the Rotman School of Management, presents a model way to ...

Uncertainty seems to be everywhere right now. Uncertainty about the economy, politics, careers, weather, and wars, to name just a few. Doubt sets in anytime we face a decision with incomplete or ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...