Attention: the Deep-Learning teCTalk event at Upward in Hartford has been rescheduled to May 20. All who registered for the event will automatically have their registrations transferred to the new date. Contact Upward at (860) 200-2335

teCTalk is a new series for individuals in Connecticut’s technology industries and those aspiring to be. Coordinated by the Connecticut Center for Advanced Technology and the Connecticut Technology Council, teCTalk is funded by CTNext.

Six teCTalk sessions are being planned, to be held at various locations across the state this spring. Each will focus on a different trend, breakthrough or challenge in the technology fields.

The first teCTalk, an in-depth exploration of Deep Learning, will be held on Wednesday, May 20, 5:30 – 8:00 PM, at Upward, 20 Church Street, Hartford.  The May 20 session will provide an opportunity for individuals to learn how machines are being taught to interact with the organic world around them, and how this smart technology is working to elevate modern business. 

About Deep Learning

Deep Learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. In Deep Learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep Learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. In Deep Learning, a large set of labeled data and neural network architectures containing many layers are used.  It is a key technology behind driverless cars, and the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers.

Expert Panel

An expert panel of AI/ML experts across industries – including professionals from GalaxE Solutions, VAANGO and Saya Life, now based at Upward’s downtown Hartford workspace – will navigate those in attendance through the rapidly-evolving topic of Deep Learning.  The interactive event welcomes questions and conversations among participants.


Additional dates/locations/topics for teCTalk events.

Please email workforceinfo@ccat.us with any questions in the meantime.