Latest news with #DeepSig
Associated Press
2 days ago
- Business
- Associated Press
DeepSig Testifies Before Congress on AI Transforming Wireless and Driving 6G
ARLINGTON, Va.--(BUSINESS WIRE)--Jun 4, 2025-- Today, DeepSig CEO Jim Shea will testify before the U.S. House Energy and Commerce Subcommittee on Communications and Technology during its hearing, 'AI in the Everyday: Current Applications and Future Frontiers in Communications and Technology.' Shea's testimony highlights how artificial intelligence is transforming wireless communications by enhancing 5G performance, accelerating spectrum awareness and strengthening national defense. He emphasizes that AI-native wireless is not only powering today's networks but is a foundational element for the future of 6G. The full written remarks can be found here. 'AI is fundamentally reshaping wireless communications, making networks smarter, faster and more efficient,' says Shea. 'From enhancing 5G reliability to detecting hostile signal activity, AI-native technologies are now indispensable to both national security and everyday connectivity.' DeepSig's software replaces traditional signal processing with machine learning, enabling networks to adapt in real time to dynamic environments. This improves spectral efficiency, reduces dropped calls and allows rapid response to interference and signal anomalies. Technologies highlighted in Shea's remarks include: DeepSig's work directly supports U.S. leadership in AI-driven wireless innovation. The company has received multiple awards from the NTIA Public Wireless Supply Chain Innovation Fund to accelerate the deployment of Open RAN and AI-native 5G/6G networks. With continued investment and leadership, the U.S. can shape the future of wireless by building secure, AI-native networks at home, ensuring both technological advantage and national resilience in the era of 6G. About DeepSig, Inc. DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems, and signal processing, DeepSig's AI/ML-powered software enhances security, efficiency, and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum, as well as in existing 5G Open RAN or AI-native next-generation networks. View source version on [email protected] KEYWORD: VIRGINIA UNITED STATES NORTH AMERICA INDUSTRY KEYWORD: 5G SOFTWARE NETWORKS INTERNET ARTIFICIAL INTELLIGENCE TECHNOLOGY MOBILE/WIRELESS SECURITY SOURCE: DeepSig, Inc. Copyright Business Wire 2025. PUB: 06/04/2025 10:27 AM/DISC: 06/04/2025 10:25 AM
Business Wire
2 days ago
- Business
- Business Wire
DeepSig Testifies Before Congress on AI Transforming Wireless and Driving 6G
ARLINGTON, Va.--(BUSINESS WIRE)--Today, DeepSig CEO Jim Shea will testify before the U.S. House Energy and Commerce Subcommittee on Communications and Technology during its hearing, 'AI in the Everyday: Current Applications and Future Frontiers in Communications and Technology.' Shea's testimony highlights how artificial intelligence is transforming wireless communications by enhancing 5G performance, accelerating spectrum awareness and strengthening national defense. He emphasizes that AI-native wireless is not only powering today's networks but is a foundational element for the future of 6G. The full written remarks can be found here. 'AI is fundamentally reshaping wireless communications, making networks smarter, faster and more efficient,' says Shea. 'From enhancing 5G reliability to detecting hostile signal activity, AI-native technologies are now indispensable to both national security and everyday connectivity.' DeepSig's software replaces traditional signal processing with machine learning, enabling networks to adapt in real time to dynamic environments. This improves spectral efficiency, reduces dropped calls and allows rapid response to interference and signal anomalies. Technologies highlighted in Shea's remarks include: OmniPHY®: AI-native air interface that learns optimal beamforming patterns in 5G massive MIMO systems to boost coverage and performance. OmniSIG®: A real-time AI spectrum sensing tool that rapidly identifies and classifies threats such as spoofed base stations and radar emissions, up to 1,000 times faster than conventional methods. DeepSig's work directly supports U.S. leadership in AI-driven wireless innovation. The company has received multiple awards from the NTIA Public Wireless Supply Chain Innovation Fund to accelerate the deployment of Open RAN and AI-native 5G/6G networks. With continued investment and leadership, the U.S. can shape the future of wireless by building secure, AI-native networks at home, ensuring both technological advantage and national resilience in the era of 6G. About DeepSig, Inc. DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems, and signal processing, DeepSig's AI/ML-powered software enhances security, efficiency, and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum, as well as in existing 5G Open RAN or AI-native next-generation networks.
Yahoo
18-03-2025
- Business
- Yahoo
DeepSig Presents the Future of AI-Native RAN at GTC 2025
CEO Jim Shea joins NVIDIA, MIT WINSLab, Samsung and others to discuss AI's impact on 6G wireless networks ARLINGTON, Va., March 18, 2025--(BUSINESS WIRE)--AI-native Radio Access Networks (RAN) are transforming wireless communications, enabling networks that continuously learn, adapt and optimize in real time. DeepSig, a pioneer in AI-native wireless communications, will advance this discussion at NVIDIA's GTC Conference, where CEO and Co-Founder Jim Shea will join industry and academic experts from NVIDIA, MIT WINSLab, Samsung Electronics and others on the panel, "Defining AI-Native RAN for 6G," on March 20, 2025, from 2:00 PM to 2:40 PM PDT in San Jose, CA. The panel will explore how AI shapes the next generation of wireless networks, improving efficiency, adaptability and spectrum utilization. DeepSig is driving a fundamental shift in AI-native wireless network development, leveraging real-time learning, spectrum awareness and intelligent air interfaces to enhance network performance and efficiency. At Mobile World Congress Barcelona 2025, DeepSig demonstrated its AI-native air interface, OmniPHY®, running on the NVIDIA AI Aerial platform. By reducing and eliminating traditional pilot overhead and leveraging neural networks to jointly design core air interface functions, OmniPHY® achieved up to 70% throughput gains in certain scenarios while improving waveform power efficiency, highlighting the potential of AI-driven air interfaces in modern wireless networks. "AI-native RAN is not just an incremental improvement—it's a paradigm shift in how we design and operate wireless networks," said DeepSig CEO Jim Shea. "We have a unique opportunity to rethink how networks learn, evolve and self-optimize. Open collaboration, strong ecosystem partnerships and advanced AI models will be critical to making next-generation networks more efficient, capable and intelligent." "Our demonstration at MWC showed how AI-driven air interfaces can transform network efficiency, adaptability and performance. At GTC, we will continue the conversation on how AI will accelerate the transition to 6G-ready networks," added Shea. DeepSig leveraged the NVIDIA Aerial Omniverse Digital Twin to highlight site-specific simulations, which illustrate how AI-native RAN can provide additional performance benefits within specific deployment scenarios. RAN digital twins allow DeepSig to train, test and improve AI-driven RAN models and performance in a simulation mirroring a specific real-world deployment. AI-native RAN marks a breakthrough in wireless evolution, replacing rigid, hardware-defined networks with adaptive, software-driven systems and allowing software-driven systems to adapt and optimize end-to-end. DeepSig is at the forefront of this shift, transforming core communications functions with AI/ML to drive innovation and shape future 6G networks. About DeepSig, Inc. DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems and signal processing, DeepSig's AI/ML-powered software enhances security, efficiency and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum and in existing 5G Open RAN or AI native next generation networks. View source version on Contacts DeepSig, Inc.950 N Glebe Road Suite 910Arlington, VA, 22203(703) 340-1451info@ Sign in to access your portfolio
Yahoo
25-02-2025
- Business
- Yahoo
DeepSig Demonstrates AI-Native Air Interface for 6G Based on the NVIDIA AI Aerial Platform at MWC Barcelona 2025
ARLINGTON, Va., February 25, 2025--(BUSINESS WIRE)--DeepSig, a pioneer in AI-native wireless communications, will showcase its latest advancements in AI-driven radio access networks (RAN) at Mobile World Congress (MWC) 2025 in Barcelona alongside the AI-RAN Alliance demonstrations. The over-the-air demonstration, as part of the AI-for-RAN Working Group of the AI-RAN Alliance, highlights how an AI-native air interface design, powered by the NVIDIA AI Aerial platform, enhances spectral efficiency, expands network capacity and delivers real-time adaption alongside a site-specific RAN digital twin—key pillars of AI-native 6G wireless systems. Today's RAN air interface relies on fixed, static designs that limit network adaptability and efficiency. Traditional methods—such as rectangular QAM modulation schemes and dedicated demodulation reference signals—restrict real-time wireless optimization. DeepSig's AI-native air interface solution eliminates these constraints with a jointly learned modulation and receiver approach, optimizing for site-specific conditions in real-time using pilot-free transmissions. This reduces overhead, enhances interference resilience and further increases spectral efficiency and capacity, leading to measurable gains in network performance that lay the groundwork for AI-native 6G networks. Furthermore, this significantly reduces the Radio Unit (RU) power consumption. "By embedding AI directly into the physical layer (PHY), DeepSig's OmniPHY unlocks smarter, faster and more efficient networks," says DeepSig CEO Jim Shea. "This innovation isn't just about optimizing 5G; it's about rethinking how wireless networks operate and accelerating the path towards AI-native 6G, where deep learning-driven air interfaces become the standard." AI in Action at MWC 2025 At MWC2025, DeepSig will demonstrate: AI-Native Air Interface: Demo of DeepSig's AI-native air interface that illustrates how a learned air interface technique outperforms the 5G-NR PHY. This over-the-air demo delivers measurable spectral efficiency and throughput improvements over traditional 5G approaches. Preliminary results reveal throughput increase due to reduced pilot overhead and an improvement in link margin, showing the approach can simultaneously deliver capacity and power reduction. It is the first time a pilotless air interface has been implemented over the air. Digital twin simulations with NVIDIA Aerial Omniverse Digital Twin: AI-driven ray-tracing simulations show how AI-native RAN outperforms traditional wireless architectures in urban environments by optimizing spectrum use. DeepSig's approach leverages NVIDIA's AI-native simulation environment to validate AI-driven RAN performance in virtual environments before deployment in live networks, reducing costs and accelerating adoption. Real-time performance metrics: Interactive visualization of key network performance indicators, including throughput and error rate impacts. Accelerating AI-Native RAN with NVIDIA DeepSig's OmniPHY AI-Native modem stack is optimized for SuperMicro ARS-111GL-NHR based on the NVIDIA GH200 Grace Hopper Superchip on the network side and NVIDIA Jetson Orin NX system-on-modules for small form factor edge devices, leveraging the NVIDIA AI Aerial platform stack components to enable GPU-optimized L1 processing. By leveraging the Epiq Solutions Matchstiq G40 radio, DeepSig enables an integrated real-time, over-the-air demonstration of the technology. "AI-RAN is one of the most promising and transformative areas of research and development for the telecom industry, helping deliver more powerful connectivity for today's society," said Soma Velayutham, Vice President Telecoms, NVIDIA. "DeepSig's learned air interface implementation based on NVIDIA AI Aerial is a breakthrough innovation in this domain that uses a novel site-specific and pilotless transmission approach to unlock new levels of capacity, spectral and power efficiency — setting a new standard for sustainable and AI-native wireless networks of the future." Meet DeepSig at MWC 2025: DeepSig and NVIDIA Demo Location: ARM Booth #2I60 Private Meetings: DeepSig Meeting Room in Hall 2—2J17MR. To schedule a personalized demo, contact info@ About DeepSig, Inc. DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems and signal processing, DeepSig's AI/ML-powered software enhances security, efficiency and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum and in existing 5G Open RAN or AI native next generation networks. View source version on Contacts DeepSig Media Contact: media@ Sign in to access your portfolio
