Thanks Guz, good post. With RTX, Bascom Hunter and Lockeed Martin connected to us, we could well end up big in defense.BrainChip Enables Quantum Ventura’s Cyberthreat Intelligence Tool with Low-Power Neuromorphic Technology
BrainChip Holdings Ltd announced its integration into a groundbreaking technology solution featuring the Akida™ processor, designed to deliver cybersecurity protection for WiFi access points, home routers, small enterprise routers, and other network access devices.
Quantum Ventura developed the CyberNeuro-RT (CNRT) solution in collaboration with Lockheed Martin Co.’s MFC Division and Pennsylvania State University, partially funded by the U.S. Department of Energy. BrainChip provides edge-based neuromorphic processing to enable on-chip learning, facilitating the detection of network-specific attacks during deployment. Akida’s compact design drastically reduces power consumption compared to GPUs, addressing form factor and energy constraints in internet-connected devices that would otherwise remain vulnerable.
The integration of Akida into CNRT stems from BrainChip’s and Quantum Ventura’s prior partnership to create advanced cyberthreat detection tools for the U.S. Department of Energy under the Small Business Innovation Research (SBIR) Program. This collaboration underscores BrainChip’s capability to collaborate with partners and bring edge AI computing to next-generation products and applications.
The Akida neural processor and AI IP excel at identifying unknown repeating patterns within vast amounts of noisy data, proving highly effective for cyberthreat detection. Once Akida understands normal network traffic behavior, it can identify malware, attack signatures, and other malicious activities. Its ability to learn securely on-device, without requiring cloud retraining, allows Akida to rapidly adapt to new attack patterns and address emerging threats.
BrainChip’s IP supports incremental learning, on-chip learning, and high-speed inference while delivering exceptional performance within micro-watt to milli-watt power budgets. This makes it ideal for advanced AI/ML applications, including intelligent sensors, medical devices, high-end video object detection, and ADAS/autonomous systems.
As an event-based technology, Akida consumes significantly less power than traditional neural network accelerators, offering partners the ability to deploy energy-efficient, high-performance AI solutions on battery-operated or fan-less embedded edge devices previously constrained by power and form factor limitations.
Note who is involved: Lockheed Martin Co.’s MFC Division and Pennsylvania State University, partially funded by the U.S. Department of Energy.
Lockheed Martin Missiles and Fire Control (MFC) is a business area of Lockheed Martin that designs, develops, and manufactures aerospace and defense systems. MFC's products include missiles, rockets, and unmanned systems for the military and civil nuclear power industry.
This is indirect a very big deal IMO, Lookheed Martin is a highly sophisticated company.
Sean mentioned at the AGM we had interest from defense.
We are still on the patience train but we will get there.