News

Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Machine-learning model can reliably predict cognitive performance based on lifestyle indicators
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...
Science Daily1y
Machine learning takes materials modeling into new era
The machine learning model in MALA is trained to predict the ... structure calculations maps well to modern HPC systems with distributed accelerators. The capability to decompose work and execute ...
ZDNet6y
Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment
We called it Machine Learning October ... Two words, according to Zaharia: Distributed training. Zaharia noted that while PMML / PFA are geared toward packaging models for deployment, and there ...
The Next Platform8y
MPI and Scalable Distributed Machine Learning
Once the training data is prepared, a distributed MPI application is then used to adjust the parameters of the machine- or deep-learning model through a ‘training’ or optimization procedure. All ...