Deep Learning, Supercomputing Enable Unprecedented Permafrost Analysis

permafrost

Permafrost covers more than 10 percent of the planet and stores vast amounts of carbon in frozen soil, making it a crucial—and dangerous—carbon sink. Understanding how (and why) permafrost is changing with the climate is critical to estimating (and mitigating) carbon emissions, but these dynamics remain largely opaque to researchers. A trio of researchers are working to change that, applying supercomputer-powered deep learning to better assess permafrost dynamics.

The post Deep Learning, Supercomputing Enable Unprecedented Permafrost Analysis appeared first on HPCwire.

More Related Posts

Despite the hype, Interact Analysis expects humanoid adoption to remain slow

The nascent humanoid robots market offers a large opportunity, but uptake will...

Facebook open-sources Droidlet robotics development platform

To help researchers build more intelligent robots, Facebook has created and open-sourced...

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

A Google-led team of researchers have presented more evidence that it’s possible...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.