Your research isI see our friends at Intellisense looking for someone to assist with NN on neuromorphic processors.
Presume to also assist with the awarded Ph II NECR project which we know about and possibly the Ph I ADORBL project.
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Senior Software Engineer
Company: Intellisense Systems Inc
Location: Torrance, California, United States
Posted on: January 01
Intellisense Systems innovates what seemed impossible. We are a fast-growing Southern California technology innovator that solves tough, mission-critical challenges for our customers in advanced military, law enforcement, and commercial markets. We design, develop, and manufacture novel technology solutions for ground, vehicle, maritime, and airborne applications. Our products have been deployed in every extreme environment on Earth!
We are looking for an exceptional Senior Software Engineer to join our Artificial Intelligence (AI) and Radio Frequency (RF) Systems team. The team works on cutting-edge technologies for government customers and DoD applications.
As part of the team, you will work alongside other experienced scientists and engineers to develop novel cutting-edge solutions to several challenging problems. From creating experiments and prototyping implementations to designing new machine learning algorithms, you will contribute to algorithmic and system modeling and simulation, transition your developments to software and hardware implementations, and test your integrated solutions in accordance with project objectives, requirements, and schedules.
Projects You May Work On:
- Real-time object detection, classification, and tracking
- RF signal detection, classification, tracking, and identification
- Fully integrated object detection systems featuring edge processing of modern deep learning algorithms
- Optimization of cutting-edge neural network architectures for deployment on neuromorphic processors
Neuromorphic Enhanced Cognitive Radio | SBIR.gov
www.ussbir.io
Neuromorphic Enhanced Cognitive Radio
Award Information
Agency:National Aeronautics and Space Administration
Branch:N/A
Contract:80NSSC22CA063
Agency Tracking Number:211743
Amount:$799,985.00
Phase: Phase II
Program:SBIR
Solicitation Topic Code:H6
Solicitation Number:SBIR_21_P2
Timeline
Solicitation Year:2021
Award Year:2022
Award Start Date (Proposal Award Date):2022-05-25
Award End Date (Contract End Date):2024-05-24
Intellisense Systems, Inc. proposes in Phase II to advance development of a Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). NECR is a low-size, -weight, and -power (-SWaP) cognitive radio built on the open-source framework, i.e., GNU Radio and RFNoCtrade;, with new enhancements in environment learning and improvements in transmission quality and data processing. Due to the high efficiency of spiking neural networks and their low-latency, energy-efficient implementation on neuromorphic computing hardware, NECR can be integrated into SWaP-constrained platforms in spacecraft and robotics, to provide reliable communication in unknown and uncharacterized space environments such as the Moon and Mars. In Phase II, Intellisense will improve the NECR system for cognitive communication capabilities accelerated by neuromorphic hardware. We will refine the overall NECR system architecture to achieve cognitive communication capabilities accelerated by neuromorphic hardware, on which a special focus will be the mapping, optimization, and implementation of smart sensing algorithms on the neuromorphic hardware. The Phase II smart sensing algorithm library will include Kalman filter, Carrier Frequency Offset estimation, symbol rate estimation, energy detection- and matched filter-based spectrum sensing, signal-to-noise ratio estimation, and automatic modulation identification. These algorithms will be implemented on COTS neuromorphic computing hardware such as Akida processor from BrainChip, and then integrated with radio frequency modules and radiation-hardened packaging into a Phase II prototype. At the end of Phase II, the prototype will be delivered to NASA for testing and evaluation, along with a plan describing a path to meeting fault and tolerance requirements for mission deployment and API documents for integration with CubeSat, SmallSat, and rover for flight demonstration.
Adaptive Deep Onboard Reinforcement Bidirectional Learning System
Award Information
Agency:National Aeronautics and Space Administration
Branch:N/A
Contract:80NSSC22PB053
Agency Tracking Number:221780
Amount:$149,996.00
Phase: Phase I
Program:SBIR
Solicitation Topic Code:H6
Solicitation Number:SBIR_22_P1
Timeline
Solicitation Year:2022
Award Year:2022
Award Start Date (Proposal Award Date):2022-07-22
Award End Date (Contract End Date):2023-01-25
NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop an Adaptive Deep Onboard Reinforcement Bidirectional Learning (ADORBL) processor based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. Neuromorphic processors are a key enabler to the cognitive radio and image processing system architecture, which play a larger role in mitigating complexity and reducing autonomous operations costs as communications and control become complex. ADORBL is a low-SWaP neuromorphic processing solution consisting of multispectral and/or synthetic aperture radar (SAR) data acquisition and an onboard computer running the neural network algorithms. The implementation of artificial intelligence and machine learning enables ADORBL to choose processing configurations and adjust for impairments and failures. Due to its speed, energy efficiency, and higher performance for processing, ADORBL processes raw images, finds potential targets and thus allows for autonomous missions and can easily integrate into SWaP-constrained platforms in spacecraft and robotics to support NASA missions to establish a lunar presence, to visit asteroids, and to extend human reach to Mars. In Phase I, we will develop the CONOPS and key algorithms, integrate a Phase I ADORBL processing prototype to demonstrate its feasibility, and develop a Phase II plan with a path forward. In Phase II, ADORBL will be further matured, implemented on available commercial neuromorphic computing chips, and then integrated into a Phase II working prototype along with documentation and tools necessary for NASA to use the product and modify and use the software. The Phase II prototype will be tested and delivered to NASA to demonstrate for applications to CubeSat, SmallSat, and rover flights.
"We’re proving that on-chip AI, close to the sensor, has a sensational future, for our customers’ products, as well as the planet."
Hi Sirod69,
This Qualcomm patent application relates to a large split NN over 2 or more SoCs because the weights are too large for the on SoC memory of a single NN SoC.
US2020250545A1 SPLIT NETWORK ACCELERATION ARCHITECTURE
Priority: 20190206
View attachment 26284
[0022] As noted, an artificial intelligence accelerator may be used to train a neural network. Training of a neural network generally involves determining one or more weights associated with the neural network. For example, the weights associated with a neural network are determined by hardware acceleration using a deep learning accelerator. Once the weights associated with a neural network are determined, an inference may be performed using the trained neural network, which computes results (e.g., activations) by processing input data based on the weights associated with the trained neural network.
[0023] In practice, however, a deep learning accelerator has a fixed amount of memory (e.g., static random access memory (SRAM) with a capacity of 128 megabytes (MB)). As a result, the capacity of a deep learning accelerator is sometimes not large enough to accommodate and store a single network. For example, some networks have weights of a larger size than the fixed amount of memory available from the deep learning accelerator. One solution to accommodate large networks is to split the weights into a separate storage device (e.g., a dynamic random access memory (DRAM)). These weights are then read from the DRAM during each inference. This implementation, however, uses more power and can result a memory bottleneck.
[0024] Another solution to accommodate large networks is splitting the network into multiple pieces and passing intermediate results from one accelerator to another through a host. Unfortunately, passing intermediate inference request results through the host consumes host bandwidth. For example, using a host interface (e.g., a peripheral component interconnect express (PCIe) interface) to pass intermediate inference request results consumes the host memory bandwidth. In addition, passing intermediate inference request results through the host (e.g., a host processor) consumes central processing unit cycles of the host processor and adds latency to an overall inference calculation.
[0025] One aspect of the present disclosure splits a large neural network into multiple, separate artificial intelligence (AI) inference accelerators (AIIAs). Each of the separate AI inference accelerators may be implemented in a separate system-on-chip (SoC). For example, each AI inference accelerator is allocated and stores a fraction of the weights or other parameters of the neural network. Intermediate inference request results are passed from one AI inference accelerator to another AI inference accelerator independent of a host processor. Thus, the host processor is not involved with the transfer of the intermediate inference request results.
The system passes partial results from one partial NN SoC to another NN SoC.
Now, I don't know how his differs from having 2 or more Akida 1000s connected up.
But, if Qualcomm think they've invented it, that suggests that 2 years ago, they were not planning to use Akida.
Our patent has a priority of 20181101 which pre-dates Qualcomm's priority by 3 months.
Long time reader, first time poster....![]()
Mercedes-Benz: Distronic kann langsamere Autos automatisch überholen
Zur CES stellt Mercedes-Benz eine erweiterte Funktionalität der Distronic vor, die künftig auch automatische Spurwechsel durchführen soll.www.computerbase.de
google-translator:
"....
Automatic lane change according to SAE Level 2
Automatic lane change will be added to the car manufacturer's driver assistance systems in the future. The new feature should enable the car to automatically initiate a lane change and overtake slower vehicles when the cruise control is switched on. With the new function, it should be emphasized that it is an extension of partially automated driving according to SAE Level 2, so that the driver retains responsibility at all times and, among other things, must keep his hands on the wheel.
The automatic lane change docks onto existing features of the Distronic and the active steering assistant. If the Distronic is active, this automatically also applies to the active steering assistant, which according to the manufacturer should "take care of the rest". In concrete terms, radar sensors and cameras constantly monitor the car's surroundings in order to detect and eventually overtake slower vehicles. After overtaking, the vehicle can also provide assistance when changing back to the original lane. The feature is also designed to support active route guidance when approaching motorway junctions or exits by initiating automatic lane changes.
The Drive Pilot (test), which has already been introduced in Germany, is an SAE Level 3 system in which responsibility is handed over to the vehicle and the driver can legally devote himself to other tasks such as the in-car office, games and videos allowed. After the introduction first in Germany, Mercedes-Benz also wants to bring the Drive Pilot to the USA. The company has applied for certification in California and Nevada and, once approved, plans to launch the Drive Pilot there later this year.
What about brainchip saying, socionext and VVDN will showcase akida?So it appears that these presentations focus entirely on the consumer experience rather than the specific technology behind the scenes. CES is all about showcasing each company's end product and not each component therein. I don't think AKIDA will get much of a mention here. Our only real insight to customer uptake will be the financials, just like the CEO said. I think the Mercedes announcement last year was an anomaly, one that they and others are not willing to repeat.
I'm sorry, I found that boring as batshit - doesn't TESLA have automatic lane changes etc? Not quite as groundbreaking as I was expecting....![]()
Mercedes-Benz: Distronic kann langsamere Autos automatisch überholen
Zur CES stellt Mercedes-Benz eine erweiterte Funktionalität der Distronic vor, die künftig auch automatische Spurwechsel durchführen soll.www.computerbase.de
google-translator:
"....
Automatic lane change according to SAE Level 2
Automatic lane change will be added to the car manufacturer's driver assistance systems in the future. The new feature should enable the car to automatically initiate a lane change and overtake slower vehicles when the cruise control is switched on. With the new function, it should be emphasized that it is an extension of partially automated driving according to SAE Level 2, so that the driver retains responsibility at all times and, among other things, must keep his hands on the wheel.
The automatic lane change docks onto existing features of the Distronic and the active steering assistant. If the Distronic is active, this automatically also applies to the active steering assistant, which according to the manufacturer should "take care of the rest". In concrete terms, radar sensors and cameras constantly monitor the car's surroundings in order to detect and eventually overtake slower vehicles. After overtaking, the vehicle can also provide assistance when changing back to the original lane. The feature is also designed to support active route guidance when approaching motorway junctions or exits by initiating automatic lane changes.
The Drive Pilot (test), which has already been introduced in Germany, is an SAE Level 3 system in which responsibility is handed over to the vehicle and the driver can legally devote himself to other tasks such as the in-car office, games and videos allowed. After the introduction first in Germany, Mercedes-Benz also wants to bring the Drive Pilot to the USA. The company has applied for certification in California and Nevada and, once approved, plans to launch the Drive Pilot there later this year.
I hope so, it will be interesting to see how much they reveal and how thoroughly they promote the technology. MERC have said nothing to reinforce the advantages that AKIDA has specifically given them.What about brainchip saying, socionext and VVDN will showcase akida?
Is that not happening.
Yes listened to it and no mention of brainchip/akida. Do you know when socionext or VVDN presenting.I hope so, it will be interesting to see how much they reveal and how thoroughly they promote the technology. MERC have said nothing to reinforce the advantages that AKIDA has specifically given them.
Is this going to be Qualcomms answer to "what happens if I lose access to the cloud"?A press release from Qualcomm
EDIT: could Iridium be the large communication company?
![]()
Qualcomm Introduces Snapdragon Satellite, The World's First Satellite-Based Solution Capable of Supporting Two-Way Messaging for Premium Smartphones and Beyond | Qualcomm
Learn more about Snapdragon Satellite, the world's first satellite-based solution that supports two-way messaging for premium smartphones and more.www.qualcomm.com
Let’s just hope they aren’t all supplied by local diesel powered generators!Initially in US and Canada......10000 charging stations
![]()
Mercedes-Benz Plans to Install Its Own Network of EV Chargers
I am not a lawyer anymore and was never a patent lawyer but there is a single core proposition which I think will make a patent secure and it is as follows.How different does a patent have to be to not violate patent law?
My understanding there is no formula, such as a 20 percent difference being enough to avoid infringement. Instead, inventors should follow the requirements of distinctiveness: being novel and non-obvious
To qualify for a design patent, the subject must be new in the sense that no single, identical design exists in the prior art, it must satisfy the ornamental standards, and it must be original to the inventor or inventors seeking protection.
Apparently, the patent description should include everything that makes your invention new. It must also include the information necessary for an average person to make your invention. Together with the claims component, a patent description is known as the specification
So PVDM and others at BRN have already registered patents and continue to register new patents with our patent lawyers expert advice etc and the Akida patents can be obscure enough and lack detail to not give away the secret sauce of Akida, then it appears the patent must also include the information for an average person to make your invention.
Who is this average person? Lol
Note - I’m sure Diogenese and FACTFINDER may have a very logical answer as a reply to the above.![]()