Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.

How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night’s sleep may be the answer. A team of CSUN students is conducting research ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Fall detection wearable specialist UnaliWear says that Apple Watch and just about every other smartwatch ever made infringes on its fall detection patents. It's in for a long and costly battle. There ...

The US International Trade Commission (ITC) has officially voted to launch an investigation into the biggest names in the wearables industry, following a patent infringement complaint over ...

The city's Redevelopment Authority Board has applied for state aid to allocate resources to the Flint. The Flint could receive an economic expert and financial aid pending an application through ...

Real-time fall detection and prediction system using IMU sensors and machine learning algorithms. fall-detection-system/ ├── README.md # Project overview and quick start ├── LICENSE # MIT License ├── ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...