Retailers are calling on AI to stop customer return fraud

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

Wayve courts automakers with AI driving system that learns like humans

Wayve’s approach is similar to another big autonomous-driving player — Tesla (TSLA.O), which moved to an end-to-end model a ...
The Next Web

HeartFocus Link adds AI cardiac imaging to any hospital ultrasound machine with a tablet and an HDMI cable

DESKi has launched HeartFocus Link, an AI-guided cardiac imaging product that connects via tablet and HDMI to any cart-based ultrasound system. The FDA-cleared software, previously available only on ...

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
Frontiers

Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnostics and treatment

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...
IEEE

Machine Learning-Based Package-Embedded Inductor Optimization for Integrated Voltage Regulators

Abstract: This study presents an algorithm based on an artificial neural network (ANN) to optimize the design of inductors used in fully integrated voltage regulators (FIVRs). Because FIVRs are ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Frontiers

Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...
IEEE

Comparative Analysis of Machine Learning Algorithms for BLE-Based Indoor Localization System

Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...