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This one is quite simple as I see it because I believe what Brainchip, Mercedes Benz, Nviso, MegaChips, MOSCHIP and ISL have said about the qualities of AKIDA Technologies.Work this one out ff......
Equipped with some of the most powerful automotive processors in the market, the system being developed by Valeo, BMW Group and Qualcomm is able to obtain real-time mapping and understanding of the car’s surroundings as well as the interior of the vehicle. New features and upgrades will be added throughout the car’s lifecycle.
Marc Vrecko, President of Valeo’s Comfort & Driving Assistance Systems Business Group commented: “We are excited and proud to embark on this journey with our long-standing partners at BMW. Beyond the opportunities resulting from our integrated software stack, the domain controller itself is an important cornerstone in our strategy for safer and smarter mobility. BMW “Neue Klasse” will also feature the next generation of Valeo’s ultrasonic sensors, the full set of surround view cameras, as well as a new multifunctional interior camera that will contribute to improved safety and create a new level of user experience.”
Valeo signs major contract with the BMW Group in advanced driving assistance systems
Valeo and the BMW Group have entered into a major collaboration for which Valeo will provide the ADAS domain controller, sensors and software for parking and maneuvering for BMW's upcoming platform generation "Neue Klasse"*, due to launch in 2025.bit.ly
View attachment 10356
Believing this I thus know it to be true that AKIDA Technology is three years ahead and unique in all the World and being implemented by Mercedes Benz and Valeo.
As this is the case if BMW is not also using AKIDA Technology I would need to then believe that BMW said to Valeo if you are using that best in class neuromorphic SCNN chip that Mercedes Benz has raved about we want it pulled out and it replaced with old generation technology.
Do I think this is likely of course not.
So queue in @Diogenese and his bones because it is Brainchip is partnered with Valeo and Valeo is partnered with BMW.
My opinion only DYOR
FF
AKIDA BALLISTA
For a moment there I thought u were sharing recipes (other than a recipe for success in BRN)
Stable Genius
Regular
sorry for all excitement looks its not with our collaboration but with Qualcomm :-(
Valeo signs major contract with the BMW Group in advanced driving assistance systems
Valeo and the BMW Group have entered into a major collaboration for which Valeo will provide the ADAS domain controller, sensors and software for parking and maneuvering for BMW's upcoming platform generation "Neue Klasse"*, due to launch in 2025.
It’s all good B,
This is about the fifth time I’ve posted this slide from Valeo’s presentation.
It’s all about the ecosystem and this never get’s old:
Stable Genius
Regular
Brainchip’s not in that image because we are the secret sauce.
Akida is going to be what give’s Valeo the edge. I’m thinking we are what I circled in this slide below:
In my opinion 2024-25 the SP will be going to go vertical!
Rise from the ashes
Regular
I think we'd be classed as a tech coy more than a self driving tech coy.
Maybe akida will be running the show at BRN by then. Therefore we enter the class of being a self driven tech coy
Last edited:
Rise from the ashes
Regular
does somebody knows something about the meaning of this twitter post?
From the latest response on Twitter some idiot thinks it means stare at boobs
Space Cadet
Regular
VISION, EXPERIENCE, ANSWERS FOR INDUSTRY
ARC VIEW
MAY 27, 2021
Neural Ecosystem with Tata Consultancy Services
Enables Next-Generation Aerospace Manufacturing
By Marianne D’Aquila and Dick Slansky
Keywords
Aerospace & Defense Industry, Neural Manufacturing, Digital Transfor-
mation, Artificial Intelligence, IoT, Augmented Reality, Ecosystems
Summary
Recently, Dr. Sandeep Muju, Head of Aerospace and Defense Global Prac-
tice, and Anand Pradhan, Head of Strategy & Business Development,
Aerospace and Process Manufacturing at Tata Consultancy Services (TCS)
briefed ARC on their thought leadership framework for next generation aer-
ospace manufacturing. TCS is transforming the aerospace and defense
(A&D) industry with neural ecosystems providing
information exchange and interoperability. The
IT/OT systems in A&D firms have historically been
fragmented and the company believes a neural aer-
ospace enterprise brings the next generation of
manufacturing capabilities and connectivity.
TCS has previously defined a set of imperatives in the context of Business 4.0
in the New Normal (post COVID) and aligns with the Industry 4.0 initiative.
Business 4.0TM is a TCS thought leadership framework augmented with a
new business lifecycle predicated on purpose-driven, adaptable, and resili-
ent business transformation. Extending this thinking to the manufacturing
customer, TCS articulates the future to be Neural. It defines “neural manu-
facturing” as an intensely networked set of partners aligned to a common
purpose, where the value chains are responsive, adaptive, and personalized
with intelligence built on the edge of the networks. The aerospace and de-
fense industry is positioned well to benefit from the neural manufacturing
ecosystem of the future.
Digital transformation will replace
fragmented systems with intelligent
connected end-to-end interoperability,
enabling next generation manufacturing
among aerospace and defense companies.
ARC View, Page 2
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
TCS Is Entrenched Across the Aerospace Value Chain
TCS has had a strong industry presence in aerospace for over 30 years. The
company has provided integrated engineering, manufacturing, enterprise, IT
innovation, digital transformation, IT and Business process services to sev-
eral civil & defense aircraft and rotorcraft companies with a large number of
dedicated global delivery centers.
The aerospace manufacturing ecosystem is an integrated mix of industry
players spread across airlines, aircraft manufacturers, airports, air traffic
management, regulators, ground support, and an extended network of tiered
suppliers. Legacy operational technologies were not designed to be con-
nected, and therefore work mostly in their own silos. Conversely, a neural
aerospace enterprise is a highly networked ecosystem boasting the following
attributes:
• Connected: Integrated representation of assets with digital thread to-
wards a networked, connected, secure, and interoperable format.
• Automated: Robots, cobots (collaborative robots), and automated assem-
bly and parts manufacturing; parts traceability and genealogy –
autonomous track and trace.
• Adaptive: Managing parts supply/demand disruptions with supply
chain digital thread and 3D printing to create an intelligent factory – con-
nected and adaptive assets and platforms.
• Personalized: Additive manufacturing for in-demand and personalized
fulfillment of printable spares and materials; immersive aircraft simula-
tion and modeling.
• Cognitive: Cognitive data visualization for critical aircraft decision-mak-
ing; Cognitive production control systems; machine vision applications
in safety and aircraft inspection.
• Resilient: Prognostic fault prediction and maintenance; blockchain for re-
silient supply network and counterfeit detection.
• Intelligent: Prescriptive and prognostic insight generation from assets
network; Intelligent planning and scheduling; AI-based generative de-
sign and engineering of aircraft parts.
ARC View, Page 3
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
Interconnected Neural Manufacturing in the Aerospace Industry - Source: TCS
TCS Is a Driver of the Smart Neural Factory
The smart factory self-optimizes performance across a broader network to
achieve efficiency, precision, and agility. At the center, a cognitive command
center receives demand and supply data from external and internal sources.
The system combines inputs from various enterprise systems including ERP,
CRM, SCM, MES, PLM along with internet of things, augmented and virtual
reality and artificial intelligence data.
Data from engine manufacturing, fuselage wings, avionics, and other prod-
uct subsystems along with specific supply chain and worker data is
aggregated into the central control systems where artificial intelligence is de-
ployed for visualization and decision-making purposes. Prescriptive
decisions for health monitoring, fault prediction and prevention, and pro-
duction performance results in resource optimization.
Neural Dimensions Drive the Future Aerospace Ecosystem
The neural aerospace ecosystem of the future can be represented by three
interconnected dimensions building on Industry 4.0 foundational technolo-
gies:
1) Internal Dimension: A connected internal ecosystem with cognitive com-
puting architecture – this dimension intelligently connects a company’s
internal smart assets and platforms powered by IoT and automated pro-
duction and processes with human-machine interaction.
ARC View, Page 4
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
2) Network dimension: A cognitive supply network -- the application of
cognitive technologies such as artificial intelligence, natural language
processing, computer vision, and robotics in supply chain allows the en-
tire network to think and interact over the cloud. End-
to-end visibility of the supply network can be achieved
by coupling connected networks with IoT for increased
automated communication and digital twin technolo-
gies, simulating multiple scenarios and failure
prediction including the extended supply network.
3) External Dimension: A connected external ecosystem – efficient and
seamless integration of the internal network and external dimension. Ex-
ternal Dimension includes the digital aftermarket and MRO network,
neural unified air traffic management, flight safety, smart governance,
and connected sustainable environments across the A&D industry eco-
system.
Conclusion
TCS has successfully demonstrated the benefits of neural ecosystems in aer-
ospace through multiple case studies. Aerospace companies have
implemented IoT, cloud, analytics, and augmented reality to achieve end to
end visibility, quality, and productivity improvements during the manufac-
turing process. Additionally, TCS is actively participating in developing data
monetization approaches for aerospace companies.
Aerospace and defense manufacturers across the value chain can now use
this architecture to develop and implement digital strategies by migrating to
a neural aerospace ecosystem. These organizations will be well equipped to
build a resilient ecosystem of value chain partners and suppliers.
* Business 4.0 is a registered trademark of Tata Consultancy Services.
For further information or to provide feedback on this article, please contact your
account manager or the author at mdaquila@arcweb.com. ARC Views are published
and copyrighted by ARC Advisory Group. The information is proprietary to ARC
and no part of it may be reproduced without prior permission from ARC.
Aerospace and defense companies can
now adopt emerging technologies to
benefit from technology led business
innovation and competitiveness.
P.S. Wish i could post a PDF but quite frankly not smart enough lol. There was a good diagram there that wouldn't copy. Someone might google title that is better at this shit than me
SC
SC
ARC VIEW
MAY 27, 2021
Neural Ecosystem with Tata Consultancy Services
Enables Next-Generation Aerospace Manufacturing
By Marianne D’Aquila and Dick Slansky
Keywords
Aerospace & Defense Industry, Neural Manufacturing, Digital Transfor-
mation, Artificial Intelligence, IoT, Augmented Reality, Ecosystems
Summary
Recently, Dr. Sandeep Muju, Head of Aerospace and Defense Global Prac-
tice, and Anand Pradhan, Head of Strategy & Business Development,
Aerospace and Process Manufacturing at Tata Consultancy Services (TCS)
briefed ARC on their thought leadership framework for next generation aer-
ospace manufacturing. TCS is transforming the aerospace and defense
(A&D) industry with neural ecosystems providing
information exchange and interoperability. The
IT/OT systems in A&D firms have historically been
fragmented and the company believes a neural aer-
ospace enterprise brings the next generation of
manufacturing capabilities and connectivity.
TCS has previously defined a set of imperatives in the context of Business 4.0
in the New Normal (post COVID) and aligns with the Industry 4.0 initiative.
Business 4.0TM is a TCS thought leadership framework augmented with a
new business lifecycle predicated on purpose-driven, adaptable, and resili-
ent business transformation. Extending this thinking to the manufacturing
customer, TCS articulates the future to be Neural. It defines “neural manu-
facturing” as an intensely networked set of partners aligned to a common
purpose, where the value chains are responsive, adaptive, and personalized
with intelligence built on the edge of the networks. The aerospace and de-
fense industry is positioned well to benefit from the neural manufacturing
ecosystem of the future.
Digital transformation will replace
fragmented systems with intelligent
connected end-to-end interoperability,
enabling next generation manufacturing
among aerospace and defense companies.
ARC View, Page 2
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
TCS Is Entrenched Across the Aerospace Value Chain
TCS has had a strong industry presence in aerospace for over 30 years. The
company has provided integrated engineering, manufacturing, enterprise, IT
innovation, digital transformation, IT and Business process services to sev-
eral civil & defense aircraft and rotorcraft companies with a large number of
dedicated global delivery centers.
The aerospace manufacturing ecosystem is an integrated mix of industry
players spread across airlines, aircraft manufacturers, airports, air traffic
management, regulators, ground support, and an extended network of tiered
suppliers. Legacy operational technologies were not designed to be con-
nected, and therefore work mostly in their own silos. Conversely, a neural
aerospace enterprise is a highly networked ecosystem boasting the following
attributes:
• Connected: Integrated representation of assets with digital thread to-
wards a networked, connected, secure, and interoperable format.
• Automated: Robots, cobots (collaborative robots), and automated assem-
bly and parts manufacturing; parts traceability and genealogy –
autonomous track and trace.
• Adaptive: Managing parts supply/demand disruptions with supply
chain digital thread and 3D printing to create an intelligent factory – con-
nected and adaptive assets and platforms.
• Personalized: Additive manufacturing for in-demand and personalized
fulfillment of printable spares and materials; immersive aircraft simula-
tion and modeling.
• Cognitive: Cognitive data visualization for critical aircraft decision-mak-
ing; Cognitive production control systems; machine vision applications
in safety and aircraft inspection.
• Resilient: Prognostic fault prediction and maintenance; blockchain for re-
silient supply network and counterfeit detection.
• Intelligent: Prescriptive and prognostic insight generation from assets
network; Intelligent planning and scheduling; AI-based generative de-
sign and engineering of aircraft parts.
ARC View, Page 3
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
Interconnected Neural Manufacturing in the Aerospace Industry - Source: TCS
TCS Is a Driver of the Smart Neural Factory
The smart factory self-optimizes performance across a broader network to
achieve efficiency, precision, and agility. At the center, a cognitive command
center receives demand and supply data from external and internal sources.
The system combines inputs from various enterprise systems including ERP,
CRM, SCM, MES, PLM along with internet of things, augmented and virtual
reality and artificial intelligence data.
Data from engine manufacturing, fuselage wings, avionics, and other prod-
uct subsystems along with specific supply chain and worker data is
aggregated into the central control systems where artificial intelligence is de-
ployed for visualization and decision-making purposes. Prescriptive
decisions for health monitoring, fault prediction and prevention, and pro-
duction performance results in resource optimization.
Neural Dimensions Drive the Future Aerospace Ecosystem
The neural aerospace ecosystem of the future can be represented by three
interconnected dimensions building on Industry 4.0 foundational technolo-
gies:
1) Internal Dimension: A connected internal ecosystem with cognitive com-
puting architecture – this dimension intelligently connects a company’s
internal smart assets and platforms powered by IoT and automated pro-
duction and processes with human-machine interaction.
ARC View, Page 4
©2021 • ARC • 3 Allied Drive • Dedham, MA 02026 USA • 781-471-1000 • arcweb.com
2) Network dimension: A cognitive supply network -- the application of
cognitive technologies such as artificial intelligence, natural language
processing, computer vision, and robotics in supply chain allows the en-
tire network to think and interact over the cloud. End-
to-end visibility of the supply network can be achieved
by coupling connected networks with IoT for increased
automated communication and digital twin technolo-
gies, simulating multiple scenarios and failure
prediction including the extended supply network.
3) External Dimension: A connected external ecosystem – efficient and
seamless integration of the internal network and external dimension. Ex-
ternal Dimension includes the digital aftermarket and MRO network,
neural unified air traffic management, flight safety, smart governance,
and connected sustainable environments across the A&D industry eco-
system.
Conclusion
TCS has successfully demonstrated the benefits of neural ecosystems in aer-
ospace through multiple case studies. Aerospace companies have
implemented IoT, cloud, analytics, and augmented reality to achieve end to
end visibility, quality, and productivity improvements during the manufac-
turing process. Additionally, TCS is actively participating in developing data
monetization approaches for aerospace companies.
Aerospace and defense manufacturers across the value chain can now use
this architecture to develop and implement digital strategies by migrating to
a neural aerospace ecosystem. These organizations will be well equipped to
build a resilient ecosystem of value chain partners and suppliers.
* Business 4.0 is a registered trademark of Tata Consultancy Services.
For further information or to provide feedback on this article, please contact your
account manager or the author at mdaquila@arcweb.com. ARC Views are published
and copyrighted by ARC Advisory Group. The information is proprietary to ARC
and no part of it may be reproduced without prior permission from ARC.
Aerospace and defense companies can
now adopt emerging technologies to
benefit from technology led business
innovation and competitiveness.
P.S. Wish i could post a PDF but quite frankly not smart enough lol. There was a good diagram there that wouldn't copy. Someone might google title that is better at this shit than me
SC
SC
Learning
Learning to the Top 🕵♂️
does somebody knows something about the meaning of this twitter post?
From a logical perspective,
I am guessing ARM is releasing a graphic processor (chip) for Mobile, thats is powerful and capable for processing gaming on Mobile. ( JMHO)
Learning
TasTroy77
Founding Member
It would be like Rolex deciding to use an inferior plastic part rather than high grade 904L steel.
Qualcomm and snapdragon have been discussed before also.
Fact Finder
Top 20
Stolen from around a Forbes Magazine pay wall a little bit about what Qualcomm’s Snapdragon offers for EV’s:
“Qualcomm has claimed a combination of two SoCs and one AI accelerator can achieve 400 TOPS at just 65-70W power consumption.”
I think they can give you an actual flat battery and limited range 5 year or 20,000 hour warranty for any system provided it is installed in accordance with the Manufacturers specifications and serviced by an authorised BMW Service provider within a driving range of 250 kilometres or less.
My opinion only DYOR
FF
AKIDA BALLISTA
Rise from the ashes
Regular
Global Chinese Financial Forum
I recall this event but didn't remember seeing this pdf published or most likely read it and forgot about it.
This
I recall this event but didn't remember seeing this pdf published or most likely read it and forgot about it.
ThisSpace Cadet
Regular
https://www.tcs.com/embedded-devices-intelligent-systems
Don't think there is any doubt TCS are into Akida. When the shankles are taken off we may find we are everywhere imo.
SC
Rise from the ashes
Regular
There are about 15 jobs advertised for SiFive in Cambridge.
From a quick scan, none of them mention NNs or Akida, but this introductory paragraph appears at the top of all job requirements:
https://www.sifive.com/careers-uk
About SiFive
As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms have enabled leading technology companies around the world to innovate, optimize, and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, datacenter, mobile, and consumer. With SiFive, the future of RISC-V has no limits.... and who can forget:
https://brainchip.com/brainchip-sifive-partner-deploy-ai-ml-at-edge/
BrainChip And SiFive Partner To Deploy AI/ML Technology At The Edge
Laguna Hills, Calif. – April 5, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power neuromorphic AI chips and IP, and SiFive, Inc., the founder and leader of RISC-V computing, have combined their respective technologies to offer chip designers optimized AI/ML compute at the edge.... or this translation provided by @Fact Finder 6 weeks ago:
BrainChip + SiFive
True but SiFive could be a giant and rising together isn't a problem and makes communicating to the market more powerful. Also the quicker we leave the ASX the better. Intel is getting as close as they can to SiFive since their t/o offer rejected and each day that goes by the takeover price...
thestockexchange.com.au
SiFive and BrainChip collaborate to achieve IP compatibility With increasing attention to RISC-V
Published at 11:30 on May 09, 2022[Sally Ward-Foxton，EE Times]
SiFive and BrainChip have announced that they will collaborate to demonstrate compatibility in SoC (System on Chip) design for embedded AI (artificial intelligence) of their IPs. We have already demonstrated how BrainChip's Neuromorphic Processing Unit (NPU) IP (Intellectual Property) works in conjunction with SiFive's RISC-V host processor IP.
SiFive licence the IP for their RISC-v host processor:-
https://www.sifive.com/blog/introduction-to-the-sifive-intelligence-x280
Introduction To The SiFive Intelligence X280
SiFive is the market leader in RISC-V Vector processors with the flagship SiFive vector processor, the SiFive Intelligence X280, leading the charge as a clear favorite with customers, with solutions being designed into a broad range of applications ranging from computer vision, mobile ISP, Edge AI, to datacenter AI.
With a specific emphasis on AI/ML compute, the X280 features the powerful combination of the RISC-V Vector (512-bit vector length) and the SiFive Intelligence Extensions, tightly integrated with an 8-stage dual-issue in-order scalar pipeline.
Akida IP "works in conjunction with SiFive's RISC-V host processor".
So there's a better than even chance that the SiFive Cambridge team will be messin' about in
Last edited:
Proga
Regular
I may have posted this before. 6 weeks old
Argo AI, the driverless startup backed by Ford Motor Co. and Volkswagen AG, has started testing self-driving vehicles in Miami and Austin, Texas, without a human behind the wheel.
While the cars aren’t the first fully driverless vehicles on the road, the tests may be the toughest so far for the technology. Argo Chief Executive Officer Bryan Salesky said in an interview the company is the first to put cars on the road in major cities during rush hour with no safety driver inside.
www.bloomberg.com
Argo AI, the driverless startup backed by Ford Motor Co. and Volkswagen AG, has started testing self-driving vehicles in Miami and Austin, Texas, without a human behind the wheel.
While the cars aren’t the first fully driverless vehicles on the road, the tests may be the toughest so far for the technology. Argo Chief Executive Officer Bryan Salesky said in an interview the company is the first to put cars on the road in major cities during rush hour with no safety driver inside.
Ford-Backed Argo Starts Testing Self-Driving Cars in Miami and Austin
www.bloomberg.com
Sirod69
bavarian girl ;-)
Neuromorphic Chip Market Research Report: Cagr Status, Industry Growth, Trends, Analysis And Forecasts To 2030 - Designer Women
Neuromorphic Chip Market Report Coverage: Key Growth Factors & Challenges, Segmentation & Re
www.designerwomen.co.uk
Major Key players profiled in the report include:
Applied Brain Research
BrainChip Holdings
General Vision
HRL Laboratories
HP Development Company
IBM Corporation
Intel Corporation
Lockheed Martin Corporation
Qualcomm Technologies
Samsung Electronics …
we are on the second place!!!
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