This adds more weight to the use of Akida in ADAS (Valeo) as well as in the in-cabin communication.Job advertisement from mercedes
Shared on LinkedIn, liked by Chris Stevens
Development engineer in the field of artificial intelligence with a focus on neuromorphic computing and ADAS (f/m/x)
Gerrit Ecke on LinkedIn: Development engineer in the field of artificial intelligence with a focus…
We are hiring! Would you like to work as a researcher in the field of #neuromorphic computing and foster innovation and technology transfer from universities…www.linkedin.com
Die gewählte Stellenanzeige wurde nicht gefunden. | Mercedes-Benz Group
jobs.mercedes-benz.com
Edit:
Fun fact - different Mercedes employee, different post on LinkedIn, same job i think - liked by Anil
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BRN Discussion Ongoing
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rgupta
Regular
Can we realise some connection of Qualcomm and akida since merc time. And as soon as they see prophesee is a partner of brn they realised it is an opportunity for them ?Hi MrRomper,
We all want @Bravo to be right.
One issue is that this product could be tied up in the October 2021 Prophesee/Synsense agreement to produce the sensor/AI chip.
Our partnership with Prophesee dates from mid-2022. Luca Verre has been quoted as saying that the relationship with BrainChip was in its infancy.
Let's hope that the multi-year Prophesee/Qualcomm deal has room for Akida.
In the following, Prophesee mentions both Qualcomm and Sony together.
Camera chip startup Prophesee and Qualcomm sign multi-year deal | Reuters
February 28, 20236:47 AM GMT+11Last Updated a month ago
Camera chip startup Prophesee and Qualcomm sign multi-year deal
By Jane Lee
OAKLAND, Calif., Feb 27 (Reuters) - Paris-based startup Prophesee, a maker of camera chips inspired by the way the human eye works, said on Monday it has signed a multi-year deal with Qualcomm Inc (QCOM.O) to be used with the smartphone technology giant's product.
While today's camera chips continuously process the full frame of images, Prophesee's chip will only process changes in the scene, such as light or movement, which makes it faster and requires less computing power, said Luca Verre, co-founder and chief executive at Prophesee.
The technology works with pixels on the sensor that only send information to the processor when there is change, while pixels that perceive no change stay muted. There are a million pixels on Prophesee's latest chips.
Manufacturing of the chip will be outsourced to Sony Group Corp (6758.T). "So we are really combining both key players in the space," said Verre, referring to both Qualcomm and Sony, without disclosing financial terms of the deal.
Verre said the Prophesee chip will be used in addition to conventional camera chips in a blueprint for smartphones that will be released this week at Mobile World Congress in Barcelona. Mass production of the chips is planned for next year when they would be integrated into phones, he said.
The additional Prophesee chip will help correct some of the blurry imagery in existing smartphone camera systems, said Verre.
DYNAP-CNN — the World’s First 1M Neuron, Event-Driven Neuromorphic AI Processor for Vision Processing | SynSense
DYNAP-CNN — the World’s First 1M Neuron, Event-Driven Neuromorphic AI Processor for Vision Processing | SynSense
Today we are announcing our new fully-asynchronous event-driven neuromorphic AI processor for ultra-low power, always-on, real-time applications. DYNAP-CNN opens brand-new possibilities for dynamic vision processing, bringing event-based vision applications to power-constrained devices for the...www.synsense.ai
Computation in DYNAP-CNN is triggered directly by changes in the visual scene, without using a high-speed clock. Moving objects give rise to sequences of events, which are processed immediately by the processor. Since there is no notion of frames, DYNAP-CNN’s continuous computation enables ultra-low-latency of below 5ms. This represents at least a 10x improvement from the current deep learning solutions available in the market for real-time vision processing.
SynSense and Prophesee develop one-chip event-based smart sensing solution
/2021/10/15/synsense-prophesee-neuromorphic-processing-and-sensing/PROPHESEE | Metavision for Machines
REVEAL THE INVISIBLE with the world's most advanced neuromorphic vision system, inspired by human vision and built on the foundation of neuromorphic engineering. PROPHESEE gives Metavision to machines, revealing what was previously invisible to them.www.prophesee.ai
Oct 15, 2021 – SynSense and Prophesee, two leading neuromorphic technology companies, today announced a partnership that will see the two companies leverage their respective expertise in sensing and processing to develop ultra-low-power solutions for implementing intelligence on the edge for event-based vision applications.
… The sensors facilitate machine vision by recording changes in the scene rather than recording the entire scene at regular intervals. Specific advantages over frame-based approaches include better low light response (<1lux) and dynamic range (>120dB), reduced data generation (10x-1000x less than conventional approaches) leading to lower transfer/processing requirements, and higher temporal resolution (microsecond time resolution, i.e. >10k images per second time resolution equivalent).
Just a stupid one but still may have merit?
equanimous
Norse clairvoyant shapeshifter goddess
It's will just be another reference diagnostic tool once fine tuned.
Job advertisement from mercedes
Shared on LinkedIn, liked by Chris Stevens
Development engineer in the field of artificial intelligence with a focus on neuromorphic computing and ADAS (f/m/x)
Gerrit Ecke on LinkedIn: Development engineer in the field of artificial intelligence with a focus…
We are hiring! Would you like to work as a researcher in the field of #neuromorphic computing and foster innovation and technology transfer from universities…
Die gewählte Stellenanzeige wurde nicht gefunden. | Mercedes-Benz Group
Edit:
Fun fact - different Mercedes employee, different post on LinkedIn, same job i think - liked by Anil
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ANT61 on LinkedIn: Cities on the Moon and Mars, climate change on Earth, strong defence… | 16 comments
Cities on the Moon and Mars, climate change on Earth, strong defence, security and cooperation on Earth and beyond — what do all these have in common? They all… | 16 comments on LinkedIn
Bennysmadness
Regular
And just posted from ANT61 an Australian Intelligent autonomous construction and service robot company using Brainchip and going to space. 
Schnitzel lover
Regular
Sums up pretty well how unevolved your brain seems to be Wilzy posting the same meme hundreds of times.
Hi Pmel ,
ANT61 on LinkedIn: Cities on the Moon and Mars, climate change on Earth, strong defence… | 16 comments
Cities on the Moon and Mars, climate change on Earth, strong defence, security and cooperation on Earth and beyond — what do all these have in common? They all… | 16 comments on LinkedIn
Great to see one of our partners openly acknowledging BrainChip .
Top find .
Regards,
Esq.
Baron Von Ricta
Regular
And just posted from ANT61 an Australian Intelligent autonomous construction and service robot company using Brainchip and going to space.
Attachments
MDhere
Regular
Had a recent trip to Melb and in the back streets of Brunswick i ran into a dji shop in the industrial section of Brunswick.
So i thought i would stop by and show them this pic. And ask them Brainchip is promoting a drone in this pic do you know whos drone it is? They said yes thats OUR Inspire drone. Thankyou dji no further questions
So i thought i would stop by and show them this pic. And ask them Brainchip is promoting a drone in this pic do you know whos drone it is? They said yes thats OUR Inspire drone. Thankyou dji no further questions
Edge AI in Medical Applications - Digica | AI powered software
A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded
Amazon
Amazon Web Services Robotics - tell me I'm dreamin'!
Fullmoonfever
Top 20
Neuromorphia
fact collector
AWS Robotics category icon Robotics - Overview of Amazon Web Services
Overview of AWS Robotics.
docs.aws.amazon.com
Robot Simulator - AWS RoboMaker - AWS
AWS RoboMaker - Cloud robotics service that makes it easy to build, deploy, and manage smart robots.
Robot Simulator - AWS RoboMaker - AWS
AWS RoboMaker - Cloud robotics service that makes it easy to build, deploy, and manage smart robots.
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buena suerte :-)
BOB Bank of Brainchip
Great post Pmel ... exciting! A few names I recognise!??ANT61 on LinkedIn: Cities on the Moon and Mars, climate change on Earth, strong defence… | 16 comments
Cities on the Moon and Mars, climate change on Earth, strong defence, security and cooperation on Earth and beyond — what do all these have in common? They all… | 16 comments on LinkedIn
At ANT61, we use modern technology to make the stuff of science fiction into reality within our lifetime. If this resonates with you, we should chat! We've made it this far thanks to the support and guidance from many people and organisations that believed in us from the very beginning! BrainChip University of South Australia SmartSat CRC Australian Space Agency Robotics Australia Group UNSW Cicada Innovations Wolfpack Space Hub Mawson Rovers SolderLogic Matt Hansen Jason Held Jasmine Vreugdenburg Andrew Barton Mick Heywood Clyde Webster Andrew Dempster Tim Parsons Julie Autuly
Stable Genius
Regular
Gartner Identifies Top Trends Shaping the Future of Data Science and Machine Learning
Gartner today highlighted the top trends impacting the future of data science and machine learning (DSML) as the industry rapidly grows and evolves to meet the increasing significance of data in artificial intelligence.
www.gartner.com
Trend 2: Edge AI
Demand for Edge AI is growing to enable the processing of data at the point of creation at the edge, helping organizations to gain real-time insights, detect new patterns and meet stringent data privacy requirements. Edge AI also helps organizations improve the development, orchestration, integration and deployment of AI.
Gartner predicts that more than 55% of all data analysis by deep neural networks will occur at the point of capture in an edge system by 2025, up from less than 10% in 2021. Organizations should identify the applications, AI training and inferencing required to move to edge environments near IoT endpoints.
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