DeepSig Blog

Reinventing Wireless with Deep Learning

DeepSig Talks Wireless AI at NVIDIA GTC

Posted by Tim O'Shea on Apr 1, 2021 10:20:28 AM

DeepSig’s CTO Dr. Tim O’Shea will be presenting during two sessions focused on wireless AI/ML at NVIDIA’s GTC 21 conference taking place online April 12-16, 2021. NVIDIA's GTC conference brings together a range of AI innovators, technologists, and creatives looking to ignite ideas and forge new connections to take on our biggest challenges.  We're excited to share a range of key updates on how we are using AI/ML at the edge to accelerate wireless sensing, 5G vRAN, and drive the future of communication systems!

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DeepSig Opens New 5G Wireless AI Lab to Enable Advanced Research and Development

Posted by DeepSig on Mar 15, 2021 10:36:16 AM

DeepSig’s new 5G Wireless AI Lab has officially opened. The lab includes an end-to-end 5G network using state-of-art, commercial grade, multi-vendor products and tools. The 5G Wireless AI Lab focuses on measuring and validating machine learning software on over-the-air calls and data using 5G Open virtual radio access network (vRAN) and signal classification for dynamic spectrum allocation and interference mitigation.

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Topics: Deep Learning, 5G Wireless, Wireless Signal Detection, Machine Learning

DeepSig Webinar at ITU: Leveraging AI/ML to Optimize the 5G RAN and to Build out the Foundations of 6G Wireless

Posted by Tim O'Shea on Nov 17, 2020 10:30:00 AM

Tune in for the International Telecommunications Union (ITU) webinar on November 27, 2020 to see DeepSig CTO, Tim O'Shea speak to how artificial intelligence and machine learning are optimizing the 5G Radio Access Network (RAN), and how they are building the foundations of the 6G data-driven RAN.  Learn more about this event on ITU's site here.

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Topics: 5G Wireless, Machine Learning

How AI Increases the Speed and Accuracy of Wireless Signal Detection

Posted by DeepSig on Oct 26, 2020 3:08:15 PM

Wireless signals transmit data through the electromagnetic spectrum which is divided into frequencies for different uses by international regulations (e.g., the ITU) and each country’s spectrum regulator (such as the FFC/NTIA, Ofcom, MIC). The portion of the electromagnetic spectrum typically used for wireless communications is known as the radio frequency (RF) spectrum.

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Topics: Deep Learning, Wireless Signal Detection, Machine Learning

DeepSig to Speak at 6G Symposium Panel: How AI is Forming the Foundation of the 6G Radio Access Network

Posted by Tim O'Shea on Oct 12, 2020 3:33:53 PM

As part of the 6G Symposium, DeepSig is excited to be participating in the panel “The Role of AI/ML in 6G Wireless Systems”. DeepSig CTO, Tim O'Shea, will speaking on the panel on October 20, 2020. This session, hosted by Prof. Chowdhury at Northeastern University, will explore one of the most critical and fundamental aspects of the technology which will drive 6G, how AI/ML technologies are already helping to shape and enable this fundamentally new approach to wireless systems, and how open system architectures such as OpenRAN are helping enable this evolution.   We’re looking forward to participating in the panel alongside NVIDIA, Interdigital, DARPA, and UCLA. 

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