DeepSig Expands to New Headquarters Near Its 5G Wireless AI Lab
DeepSig Inc experts in artificial intelligence (AI) and machine learning in wireless communications announced the opening of its new Virginia headquarters. Located near the company’s 5G Wireless AI Lab, the larger, collaborative space will fit the company’s growth and need to serve the virtual radio access network (vRAN) ecosystem and other leading technology providers leveraging AI and machine learning to improve wireless networks.
“DeepSig has unique domain experience in both the government and the commercial sectors, and we’re rapidly evolving our open standards-based AI software to support a growing range of wireless systems and use cases”
New technologies and spectrum are driving operators to increase network spending without higher revenues from users. DeepSig is helping mobile operators and their vendors lower radio access (RAN) networks CapEx and OpEx by replacing traditional signal processing and RF-sensing with deep learning to improve user experience, capacity and network resiliency.
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“DeepSig has unique domain experience in both the government and the commercial sectors, and we’re rapidly evolving our open standards-based AI software to support a growing range of wireless systems and use cases,” said James Shea, CEO of DeepSig. “The location of our headquarters was carefully chosen to closely link employees, customers and partners to the space where we develop and test our technologies, and to give them more direct access to the knowledge coming from our team. Also, our young, very talented staff enjoy the lifestyle and many amenities Arlington Virginia offers.”
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The 5G Wireless AI Lab is conducting advanced research and product development for cutting-edge artificial intelligence in wireless signal processing and radio frequency sensing. Its specific focus is on measuring and validating machine learning software on over-the-air calls and data using 5G Open vRAN and signal classification for dynamic spectrum allocation and interference mitigation.
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