IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is real-time and transient, not batch-processed. Production is modular, not ...

Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Anurag Agrawal is a Senior Tech Lead at Google LLC. With over 12 years of experience, he's an expert in Cybersecurity and Abuse prevention. As someone who's been following the intersection of ...

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 ...

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...