Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

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 ...