DeepSig Partners with ENSCO as its launch customer for OmniSIG™ SDK

ENSCO is DeepSig's first customer for the OmniSIG SDK that allows customers to annotate and train wireless signals for OmniSIG Sensor Software.

Official Press Release:

Springfield, Va., April 9, 2019

ENSCO is pleased to announce it has partnered with DeepSig Inc. as the launch customer for DeepSig’s OmniSIG™ SDK, a first-of-its-kind commercial real-time signal processing product that enables users to train their own deep learning-based signal detection and classification sensors. By employing deep learning artificial intelligence, OmniSIG can detect WiFi, Bluetooth, 3/4/5G, and other signals up to 1,000 times faster than existing technology.

“This partnership is a win-win for both companies and our U.S. government customers. We are applying leading-edge commercial off-the-shelf radio frequency (RF) deep learning technology to overcome the performance limitations of conventionally designed RF systems, such as radar, signals intelligence, electronic warfare, and communications.”

With its significant expertise and experience in wireless signal processing and national security requirements, ENSCO is training the OmniSIG sensor to detect and classify wireless and radar signals of high interest for customers in the Department of Defense and U.S. Intelligence Community.

The OmniSIG sensor not only detects and classifies signals, but also understands the spectrum environment to inform contextual analysis and decision making. Compared to traditional approaches, OmniSIG provides higher sensitivity and is more robust in harsh and dynamic spectrum environments, while requiring fewer computational resources and hence less power.

“ENSCO has been a key partner in applying OmniSIG to tackle and solve extremely difficult challenges in national security. Their extensive technical and domain expertise is accelerating the utility and deployment of OmniSIG’s artificial intelligence-based capabilities for defense and intelligence customers,” states James Shea, CEO, DeepSig Inc.

“This partnership is a win-win for both companies and our U.S. government customers,” states Vernon Joyner, Vice President of National Security Solutions. “We are applying leading-edge commercial off-the-shelf radio frequency (RF) deep learning technology to overcome the performance limitations of conventionally designed RF systems, such as radar, signals intelligence, electronic warfare, and communications.”

ENSCO, INC.

ENSCO, Inc., and its wholly owned subsidiaries represent a $140 million international technology enterprise, headquartered near Washington, D.C. For 50 years, the ENSCO group of companies has been providing engineering, science and advanced technology solutions that guarantee mission success, safety and security to governments and private industries worldwide. ENSCO operates in the defense, transportation, aerospace and intelligence sectors. Field offices and subsidiaries, representatives and partnerships are located throughout the United States and the world. Learn more

DEEPSIG INC.

DeepSig is pioneering the use of deep learning to realize state-of-the-art signal processing and radio systems by developing fundamentally new approaches for the design and optimization of wireless communications. By creating new tools, algorithms, and approaches for signal processing systems, DeepSig is able to achieve unparalleled results in system performance.

Virginia Tech partners with startup DeepSig to protect wireless devices

Technology invented at Virginia Tech that harnesses a new area of artificial intelligence to improve wireless performance and defend wireless devices has taken a major step toward the public market.

The university and an Arlington-based start-up, DeepSig, recently executed a licensing agreement that allows the company to further develop for consumer use the innovative wireless communications and cybersecurity technology invented by researchers at Virginia Tech’s Hume Center for National Security and Technology.

“This technology leverages a field of artificial intelligence called machine learning in a new way in order to design a next generation of powerful wireless communications systems,” said Virginia Tech researcher and DeepSig founder Tim O’Shea. “It will be faster, more cost efficient, more secure, and easier to deploy than today’s wireless systems.”

Read More at vt.edu