/ / Migel Tissera on Using AI to Manage Image Data for Space Exploration and More

Migel Tissera on Using AI to Manage Image Data for Space Exploration and More

Moondust, minerals and soil varieties are just some of the products that can be swiftly recognized and analyzed with AI based mostly on their visuals.

Migel Tissera is co-founder and CTO of Metaspectral, a Vancouver-primarily based startup that offers an AI-dependent info administration and analysis platform for extremely-superior-resolution pictures.

He spoke with NVIDIA AI Podcast host Noah Kravitz about how Metaspectral’s technologies aid place explorers make quicker and improved use of the massive amounts of graphic information they acquire out in the cosmos.

In addition to space, the startup’s platform is made use of throughout industries such as agriculture, forensics and recycling.

 

Key Details From This Episode:

  • Hyperspectral imaging collects and procedures info from across the electromagnetic spectrum, pixel by pixel. It can be utilized to find objects or determine materials — like moondust, which informs where on the lunar floor an astronaut could land.
  • Analyzing such ultra-high-resolution illustrations or photos can be tricky and sluggish, because of to their substantial quantities of facts. Metaspectral’s AI-based resolution compresses knowledge up to 90 p.c even though sustaining its integrity. This allows the facts to be transmitted from house to earth, processed by a significant-compute program and sent back again to users for authentic-time motion.

Tweetables:

“We have to come up with really great technologies that can competently use facts inside of an allocated time frame.” — Migel Tissera [2:40]

By capturing the complete spectrum of mild for every pixel, “you can figure out the fundamental content of that pixel and map the geological development.” — Migel Tissera [5:04]

You Could Also Like:

Researchers Chris Downum and Leszek Pawlowicz Use Deep Mastering to Speed up Archaeology

Researchers in the Division of Anthropology at Northern Arizona University are utilizing GPU-primarily based deep discovering algorithms to categorize sherds — very small fragments of ancient pottery.

Wild Issues: NVIDIA’s Sifei Liu Talks 3D Reconstructions of Endangered Species

Endangered species can be difficult to research, as they are elusive and the pretty act of observing them can disrupt their lives. Now, researchers can get a nearer glimpse at endangered species by finding out AI-created 3D representations of them.

Waste Not, Want Not: AI Startup Opseyes Revolutionizes Wastewater Assessment

What do radiology and wastewater have in prevalent? Hopefully, not substantially. But at startup Opseyes, founder Bryan Arndt and details scientist Robin Schlenga are utilizing AI to assess wastewater samples.

Subscribe to the AI Podcast

Get the AI Podcast by way of iTunes, Google Podcasts, Google Enjoy, Castbox, DoggCatcher, Overcast, PlayerFM, Pocket Casts, Podbay, PodBean, PodCruncher, PodKicker, Soundcloud, Spotify, Stitcher and TuneIn. If your most loved isn’t mentioned listed here, drop us a notice.

Make the AI Podcast Improved

Have a few minutes to spare? Fill out this listener survey. Your answers will assistance us make a better podcast.

Similar Posts