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DARPA Funds ML-Based CHIMERA Solution

Defense Advanced Research Projects Agency (DARPA) has provided  $4.7 Million contract to BAE Solutions to develop CHIMERA

CHIMERA expands to Controllable Hardware Integration for Machine-Learning Enabled Real-time Adaptivity. In the latest announcement, BAE Systems has confirmed that it has been awarded funding from the Defense Advanced Research Projects Agency (DARPA). DARPA funding will help BAE to integrate Machine-Learning (ML) technology into platforms that decipher radio frequency signals. Its CHIMERA solution provides a reconfigurable hardware platform for ML algorithm developers to make sense of Radio Frequency (RF) signals in increasingly crowded electromagnetic spectrum environments.

The latest deal from DARPA comes barely weeks after BAE Systems announced a key ML partnership with UiPath. As part of the partnership, BAE Systems and UiPath would develop and embed new automation capabilities within its Advanced Analytics Lab. This would leverage RPA techniques to drive process improvement with customers and reduce overall operational costs. This would essentially prove to be a major advantage for BAE Systems over its competitors in the military field.

Read More: BAE Systems Wins DARPA Contract to Apply Machine Learning to the Radio Frequency Spectrum

At the time of this announcement, Dave Logan of BAE Systems said —

“CHIMERA brings the flexibility of a software solution to hardware. Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.”

Dave Logan is the Vice President and General Manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Systems at BAE Systems.

CHIMERA deployment is dependent on successful completion of milestones. This includes hardware delivery along with integration and demonstration support.

CHIMERA’s hardware platform will enable algorithm developers to decipher the ever-growing number of RF signals, providing commercial or military users with greater automated situational awareness of their operating environment. This contract is adjacent to the previously announced award for the development of data-driven ML algorithms under the same DARPA program (Radio Frequency Machine Learning Systems, or RFMLS).

RFMLS requires a robust, adaptable hardware solution with a multitude of control surfaces to enable improved discrimination of signals in the evolving dense spectrum environments of the future.

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What do BAE Systems offer?

BAE Systems delivers a broad range of solutions and services enabling militaries and governments to successfully carry out their respective missions. The company provides large-scale systems engineering, integration, and sustainment services across air, land, sea, space, and cyber domains.

Currently, BAE Systems provide SIGINT systems. SIGNIT gathers information from adversaries’ electronic signals. AI ML Analysts use these signals to evaluate various raw data from foreign communication systems, radars, and weapon systems, and transform it into actionable intelligence for internal security purposes. SIGNIT is already a part of BAE’s Commercial-off-the-shelf (COTS) -hardware and open system architecture that enable customers with a critical advantage on the battlefield.

In an evolving threat environment, CHIMERA will enable ML software development to adapt the hardware’s RF configuration in real time to optimize mission performance. This capability has never been available before in a hardware solution. The system provides multiple control surfaces for the user, enabling on-the-fly performance trade-offs that can maximize its sensitivity, selectivity, and scalability depending on mission need. The system’s open architecture interfaces allow for third-party algorithm development, making the system future-proof and easily upgradable upon deployment.

Read More: Battelle-Led Team Wins DARPA Award to Develop Injectable, Bi-Directional Brain Computer Interface

Other RF functions, including communications, radar, and electronic warfare, also can benefit from this agile hardware platform, which has a reconfigurable array, front-end, full transceiver, and digital pre-processing stage. Work on these phases of the program will take place at BAE Systems’ sites in Hudson and Merrimack, New Hampshire, and Dallas, Texas.

Recently BAE Systems signed a deal with the US Navy to provide them with Amphibious Combat Vehicle (ACV). Together with the Navy, BAE Systems would develop a new range of AVCs. In June, the company completed the acquisition of the Riptide Autonomous Solutions Business.

Read More: DARPA Disruptioneering Selects PARC and UW-Madison to Develop Artificial Intelligence Software that Automatically Designs Complex Mechanical Systems

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