All of us recycle. Or, at least, all of us should. Now, AI is joining the effort.
On the latest episode of the NVIDIA AI Podcast, host Noah Kravitz spoke with JD Ambadti, founder and CEO of EverestLabs, developer of RecycleOS, the first AI-enabled operating system for recycling.
The company reports that an average of 25-40% more waste is being recovered in recycling facilities around the world that use its tech.
In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has proposed harnessing high-flying AI-equipped drones to track the endangered black rhino through the wilds of Namibia.
Fewer than 4,000 tigers remain worldwide, according to Tigers United, a university consortium that recently began using AI to help save the species. Jeremy Dertien is a conservation biologist with Tigers United and a Ph.D. candidate in wildlife biology and conservation planning at Clemson University.
What do radiology and wastewater have in common? Hopefully, not much. But at startup Opseyes, founder Bryan Arndt and data scientist Robin Schlenga are putting the AI that’s revolutionizing medical imaging to work on analyzing wastewater samples.
You can also get the AI Podcast through iTunes, Google Podcasts, Google Play, Castbox, DoggCatcher, Overcast, PlayerFM, Pocket Casts, Podbay, PodBean, PodCruncher, PodKicker, Soundcloud, Spotify, Stitcher and TuneIn.
The post Doing the Best They Can: EverestLabs Ensures Fewer Recyclables Go to Landfills appeared first on NVIDIA Blog.
submitted by /u/austingoeshard [link] [comments]
This post is divided into three parts; they are: • Why Attention is Needed •…
MLOps, or machine learning operations, is all about managing the end-to-end process of building, training,…
We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by…
In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has…
With applications like Rally already live in beta, GenLayer presents a new category of intelligent…