Funny how someone was arguing the other day that TENNS is redundant cos thermal imaging exists. Meanwhile, Akida's out here improving thermal imaging for Defense.
Blue Ridge (BRE), a Black Signal Technologies company, will integrate BrainChip AkidaTM processors in a variety of high performance applications.Tactical devices such as these are deployed where they have restrictive thermal requirements and limited access to power yet are required to operate efficiently. Akida’s ability to perform data processing, including AI/ML tasks at the edge, and its power-conserving neuromorphic design makes its utility in military and intelligence settings a potential breakthrough.
The partnership aims to revolutionize fields such as threat detection, autonomous systems, and remote monitoring by integrating BrainChip's AI technology into Blue Ridge Envisioneering's durable devices serving the defense and intelligence communities.
Read more here:
https://www.businesswire.com/news/home/20230410005340/en/BrainChip-and-Blue-Ridge-Envisioneering-Collaborate-on-Next--Generation-Tactical-Edge-Devices
And if you're curious, as I was, about what would constitute a durable device in a military context and how Akida might be utilised, here’s an overview*:
Thermal Imaging Cameras: IncorporatingAkida, with its ability to handle spatiotemporal data efficiently, couldrevolutionize real-time image analysis in thermal imaging cameras. This couldenable advanced features like automatic target detection or anomaly detectiondirectly on the device, all while conserving power and reducing heatgeneration, which is crucial for maintaining device longevity.
Unmanned Aerial Vehicles (Drones): Akidacould enhance UAVs by providing onboard AI for tasks such as autonomousnavigation, object detection, and decision-making. With the addition ofTENNs-PLEIADES, these drones can process large volumes of real-time data, suchas video feeds, with high efficiency and low power consumption, ensuring longerflight times
Tactical Radios: Akida’s low-power,real-time AI processing can enhance signal processing, improve communicationclarity, and enable smart filtering of noise. The integration of TENNs-PLEIADESallows for the effective handling of spatiotemporal data, which is crucial inmaintaining clear and reliable communication in dynamic and noisy environments
Night Vision Goggles: Akida could enhancethe image processing and object recognition capabilities of night visiongoggles. With TENNs-PLEIADES, these goggles could process low-light video feedsmore effectively, enabling features like automatic threat detection andreal-time visibility enhancement without significantly draining the device’sbattery allowing for longer tactical operations.
Ruggedized Laptops and Tablets: Thesedevices could benefit from Akida’s efficient on-device AI processing,particularly for tasks like image recognition or natural language processing.The use of TENNs-PLEIADES allows these tasks to be performed with low latencyand minimal computational overhead, making these devices more responsive inlow-connectivity environmentsand more reliable operations.
GPS Devices: Akida, particularly withTENNs-PLEIADES, could elevate GPS devices by incorporating real-time dataprocessing capabilities, such as route optimization or hazard detection. Thiswould make GPS units more effective in remote or rapidly changing environments,where conventional data processing methods might struggle.
Portable Power Generators: While Akidawill not directly influence power generation, its ability to monitor andoptimize generator performance through AI-driven insights can ensure efficientenergy use. The low computational requirements and energy efficiency ofTENNs-PLEIADES would be particularly beneficial in managing and predictingmaintenance needs.
Body-Worn Cameras: Akida could empowerthese devices with real-time video analysis capabilities, such as facialrecognition or behavioural analysis. The incorporation of TENNs-PLEIADES allowsfor efficient processing of the continuous video data streams, enhancing thespeed and accuracy of these analyses while maintaining a low power draw.
Explosive Ordnance Disposal (EOD) Robots:Akida’s integration, combined with TENNs-PLEIADES, could greatly improve the AIcapabilities of EOD robots, enabling them to process sensor data in real-time,make autonomous decisions, and recognize threats more efficiently. The abilityto process spatiotemporal data effectively is crucial in high-stakesenvironments where quick and accurate responses are required.
Across all these examples, the integration of Akida’sneuromorphic design and TENNs-PLEIADES is particularly advantageous. Thesetechnologies allow for complex AI and machine learning tasks to be performeddirectly on the device, minimizing the need for cloud processing, conservingenergy, and maintaining a low thermal profile. This makes Akida especiallysuitable for use in the rugged, power-constrained environments where thesemilitary devices typically operate.
Sources:
1. (Spatiotemporal_TENN).
2. (BrainChip)ps://( Design and Reuse)poral(BrainChip)Design and Reuse - TENNs Technology](https://www.design-reuse.com/news/56323/brainchip-polynomial-expansion-in-adaptive-distributed-event-based-systems.html).
3. BrainChip’s Event-Based Neural Networks.
4. *GPT4o
(20min delay)