Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Chennai: In a major push to build deep-tech capabilities in India’s workforce, IITM Pravartak Technologies Foundation, the ...

DL4J supports interoperability with other popular deep learning frameworks. Deeplearning4j can be used through multiple API languages, including Java, Scala, Python, Clojure and Kotlin.

Awni Hannun, a machine learning researcher with Apple, tweeted that MLX Data is a “framework agnostic, efficient, and flexible package for data loading” and works with MLX, PyTorch, or Jax ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Advance to complex machine learning techniques (ensemble methods, hyperparameter tuning) and deep learning frameworks (TensorFlow, PyTorch) for tasks like image recognition and NLP.

A research team at Shanghai Jiao Tong University has developed a systematic framework that combines semantic-segmentation AI ...

Virginia Tech. "Researchers use deep learning to predict flooding this hurricane season." ScienceDaily. ScienceDaily, 2 June 2025. <www.sciencedaily.com / releases / 2025 / 06 / 250602154901.htm>.