Ainstein to support cutting-edge NSF Deep Learning research

Ainstein is proud to announce its participation as a research and development partner of the new National Science Foundation (NSF) funded Center for Big Learning (CBL).

The CBL is an NSF-sponsored effort led by the University of Missouri-Kansas City, Carnegie Mellon University, University of Oregon, and University of Florida, to develop new Deep Learning technologies, as well as applications of the same in business, health, Internet-of-Things (IoT), cybersecurity, and more.

The CBL brings together expertise from more than 80 world-renowned faculty researchers at the four universities, together with industry partners like Ainstein to develop cutting-edge technologies into real-world commercial applications. In conjunction with the four universities and NSF’s support, the CBL brings together industry leaders in computing, networking, artificial intelligence (AI), machine learning, and other technologies to develop a robust research and development and commercialization pipeline for these technologies.

Ainstein will work with the CBL and its academic and industry partners to provide testing and development of new technologies in real-world, live use cases, and to provide mentoring to university students and faculty researchers.

To learn more about Ainstein, visit us as ainstein.ai

To learn more about the CBL, click here.

Latest Posts

CUAV 2026

Reflecting on Commercial UAV 2026

SmartAg Drone at Kelly Fields Day 2026

Key Takeaways from Kelly Hills Field Day 2026

heavy-lift cargo drone

The Rise of Industrial-Scale Cargo UAVs: Radar as the Backbone of Autonomous Logistics

iVT 2026

Reflecting on iVT 2026

Ready to Start a Conversation?

See what Ainstein can do for you — Just reach out to us with the form below, and we’ll get back to you as soon as possible.

You May Also Like...

Power-and-Signal-Merit-Temperature-Sensor-300x151

Sensors Product Roundup →

radar-sensors

Radar Sensors Can Help Maintain Social Distancing →

Screenshot 2023-05-15 3.38.25 PM

New Radar-Based Sensors Enhance Safety and Performance →