Using a new type of machine learning method called next generation reservoir computing, researchers at The Ohio State University have recently found a new way to predict the behavior of spatiotemporal chaotic systems – such as changes in Earth’s weather – that are particularly complex for scientists to forecast.
Source: Tatyana Woodall, Ohio State University
The post Machine Learning Helps Scientists Peer (a Second) into the Future appeared first on HPCwire.
While most of the quantum computing world is focused on achieving fault...
Always good to go back and refresh on the basics! Artificial intelligence...
Cisco and a group of eight leading companies including Accenture, Eightfold, Google,...
Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.
We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.
Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.
PACE’s story, values, and culture define how we operate and who we are.
Stay up to date on industry trends.
All the information needed for anyone interested in contacting us.
