Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

Supercharging your data analysis strategy with machine learning, data science, and custom-trained LLMs can unlock a higher level of threat detection and a deeper understanding of organizational risks.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Tesla has been granted a patent for a system that uses image data captured by a vehicle’s camera to predict a three-dimensional trajectory of a machine learning feature. The trained machine learning ...

Keysight Technologies has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution reduces model development and extraction time from weeks ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240260 discusses a novel strategy for detecting trace-level nanoplastics in aquatic environments. Plastic materials have ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.