NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Abstract: This paper proposes an innovative framework that combines convolutional neural networks (CNNs) with transfer learning to address the limitations of traditional image retrieval methods in ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...

Many jobs face a high risk of being disrupted by AI soon, but roles such as AI trainer, AI auditor, and AI integrator are likely to remain highly relevant and offer great pay.

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

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.

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

The White House unveiled a Presidential Walk of Fame outside the West Wing on Wednesday, which showed a portrait of former President Joe Biden replaced with the image of an autopen, a device ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...