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 ...

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 ...

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 ...

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 ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

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 ...

Offered: Winter (TTh 9:30-10:50 a.m.) and Spring (TTh 12:30-1:50 p.m.) Foundations of Data Science will cover the fundamentals of data science and the context within which this field operates. This ...

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

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