Abhinav Vishnu from PNNL gave this talk at the MVAPICH User Group. "Deep Learning (DL) is ubiquitous. Yet leveraging distributed memory systems for DL algorithms is incredibly hard. In this talk, we ...

XGBoost (eXtreme Gradient Boosting), also not a deep neural network, is a scalable, end-to-end tree boosting system that has produced state-of-the-art results on many machine learning challenges.

Engineering study employs deep learning to explain extreme events. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 10 / 231002124257.htm ...

Thorsten Kurth from LBNL gave this talk at the PASC18 conference. "We present various studies on very large scale distributed deep learning on HPC systems including the ~10k node Intel Xeon-Phi-based ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can ...

Here's the final animation, after 48-hours of learning: Those two days were spent learning from motion-captured interpretive dance performed by human beings in from of depth-sensing Kinect cameras.

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...