University of Connecticut and AT&T Collaborating on 5G Lab

A new private 5G network at the University of Connecticut's Stamford campus will advance academic programs and expand entrepreneurial activities in the Stamford Data Science Initiative. The university is working with AT&T to roll out the company's 5G millimeter wave and multi-access edge compute (MEC) technology, which enables near real-time, ultra-high bandwidth and ultra-low latency access for latency-dependent mobile applications, according to a news announcement. The collaboration is supported by startup-focused organizations CTNext and StamfordNext.

The Stamford Data Science Initiative includes a Start-up Studio, Technology Incubation Program (TIP) and the construction of a new 5G Lab, expected to be complete by late summer 2021. The new 5G infrastructure will support UConn Stamford's work in entrepreneurship and data science in a number of ways, such as:

  • In the Entrepreneurship & Innovation Co-op program, student entrepreneurs will tap into 5G to build early stage products and technologies that power innovation and transform business operations in the real estate and construction industries.
  • In the Data Science Tech Incubator, 5G will help startups monitor and analyze data faster and more efficiently.
  • In the Data Science Faculty Fellows program, faculty researchers will use 5G for analytics and data visualization work across engineering, liberal arts, fine arts and business and collaborate with industry partners on potential commercialization projects.

"Our collaboration with AT&T helps make the university and the state stronger and enhances our focus on entrepreneurship, innovation and business partnership," said University of Connecticut President Thomas Katsouleas, in a statement. "We are honored to work with AT&T to explore the future of 5G and MEC-powered innovations."

"In UConn's hands, ultra-fast, reliable connectivity will open doors of opportunity for students, businesses and the community, enabling innovation in countless areas," commented John Emra, president of AT&T's New England Region.

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.

  • Educational path and career development growth with neon icons for study, idea, graduation, and success

    How to Embrace Lifelong Learning as a Non-negotiable for Career Growth

    In a world shaped by rapid technological change and shifting economic forces, staying curious and committed to learning is the most powerful way to stay prepared.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.