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.--(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.

Contacts

DeepSig, Inc.
950 N Glebe Road Suite 910
Arlington, VA, 22203 (703) 340-1451
info@deepsig.ai
www.deepsig.ai