BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Humble Genius
Regular
Unveiling AI Innovations: Teksun at Embedded Vision Summit
Live at the Embedded Vision Summit Discover the Next Frontier of AI: Teksun Live at the Embedded Vision Summit, Unveiling the Latest Innovations MILPITAS, CA, UNITED STATES, May 19, 2023/EINPresswire.com/ -- Today, Teksun Inc., a leading provider of AI and ML solutions, is ready to unveil an...
www.ksn.com
Unveiling AI Innovations: Teksun at Embedded Vision Summit
NEWS PROVIDED BYEIN Presswire
May 19, 2023, 8:32 AM ET
Live at the Embedded Vision Summit
Discover the Next Frontier of AI: Teksun Live at the Embedded Vision Summit, Unveiling the Latest Innovations
MILPITAS, CA, UNITED STATES, May 19, 2023/EINPresswire.com/ -- Today, Teksun Inc., a leading provider of AI and ML solutions, is ready to unveil an advanced prototype in collaboration with BrainChip at Booth No. #517, during the highly anticipated Embedded Vision Summit. Prepare to be captivated as we showcase an array of cutting-edge, Ready-to-Use AI Algorithms that will leave you in awe. Brace yourself for the unveiling of our solutions:
Teksun Telep Intrusion Detection
Teksun Telep Car Occupancy Detection
Teksun Telep Driver Monitoring
Join us from May 22-24 at the Santa Clara Convention Center for this remarkable event!
BrainChip is a global leader in on-chip processing and learning for edge AI. Its groundbreaking neuromorphic processor, AkidaTM, mimics the human brain to analyze crucial sensor inputs at the point of acquisition, providing unparalleled efficiency, precision, and energy economy. By keeping machine learning local to the chip and avoiding cloud access, latency is significantly reduced while improving privacy and data security. BrainChip's on-chip AI brings effective edge computing to connected cars, consumer electronics, and industrial IoT applications. The company believes that on-chip AI close to the sensor is the future of products and our planet.
Brijesh Kamani, Founder & CEO at Teksun Group, expressed excitement about partnering with BrainChip and extended congratulations for their groundbreaking Neuromorphic architecture. Through their collaboration, they have successfully delivered advanced, energy-efficient solutions that are both innovative and user-friendly for their customers. The upcoming Embedded Vision Summit presents an ideal platform to showcase the remarkable progress achieved by BrainChip and Teksun. They will demonstrate how their joint efforts are set to revolutionize the AI and ML markets.
Expressing his enthusiasm for the rapid progress made with Teksun, Rob Telson, Vice President of Ecosystems and Partnerships at BrainChip, also expressed his anticipation for supporting Teksun's future customers. He highlighted the adoption of BrainChip's Akida as a crucial distinguishing factor for Teksun's edge AI product offerings. The upcoming Embedded Vision Summit presents an exceptional opportunity to showcase how their collaborative endeavors will drive notable advancements in the AI and ML markets.
Sirod69
bavarian girl ;-)
We are not named (if then under Tier1)
But, i found it quite interesting.
In Episode 2 of The Garage, join us for a conversation between host Dr. John Heinlein, Chief Marketing Officer from Sonatus and Robert Day, Director, North America Automotive GTM for Arm. This wide ranging topic covers the whole spectrum of how Arm is working to enable automotive innovation and the many ways Sonatus is participating in this ecosystem. We cover hardware, silicon suppliers, necessary elements to achieve SDV, standards, and software trends.
Timestamps:
1:08: Arm’s role in automotive
2:43: Arm-based automotive silicon suppliers
3:43: The shift to software-defined vehicles and four pillars to achieving SDV
5:05: Pillar 1 for SDV: Use of standards
5:37: Pillar 2 for SDV: Use of new software methodologies and technologies
6:12: Pillar 3 for SDV: Vehicle simulation and development in the cloud
6:41: Pillar 4 for SDV: Collaboration
7:28: SOAFEE: Scalable Open Architecture For the Embedded Edge
9:02: Cloud-native design for automotive
10:58: Future trends in automotive hardware and software architecture
12:09: ECU and workload consolidation
13:04: Summary
But, i found it quite interesting.
Arm in Automotive, SOAFEE and SDV
In Episode 2 of The Garage, join us for a conversation between host Dr. John Heinlein, Chief Marketing Officer from Sonatus and Robert Day, Director, North America Automotive GTM for Arm. This wide ranging topic covers the whole spectrum of how Arm is working to enable automotive innovation and the many ways Sonatus is participating in this ecosystem. We cover hardware, silicon suppliers, necessary elements to achieve SDV, standards, and software trends.
Timestamps:
1:08: Arm’s role in automotive
2:43: Arm-based automotive silicon suppliers
3:43: The shift to software-defined vehicles and four pillars to achieving SDV
5:05: Pillar 1 for SDV: Use of standards
5:37: Pillar 2 for SDV: Use of new software methodologies and technologies
6:12: Pillar 3 for SDV: Vehicle simulation and development in the cloud
6:41: Pillar 4 for SDV: Collaboration
7:28: SOAFEE: Scalable Open Architecture For the Embedded Edge
9:02: Cloud-native design for automotive
10:58: Future trends in automotive hardware and software architecture
12:09: ECU and workload consolidation
13:04: Summary
Tothemoon24
Top 20
Sirod69
bavarian girl ;-)
We've written about Nota AI before. The Seoul-based start-up has developed an AI solution for safe crossing. That alone is worth mentioning.
Nota AI highlights how technology can reduce Vulnerable Road User risk
The South Korean traffic solutions company Nota AI, which specialises in using Artificial Intelligence to better manage road safety, will explain to delegates at the ITS European Congress in Lisbon next week how technology can be used to reduce vulnerable road user related accident risks.
highways-news.com
Nota AI highlights how technology can reduce Vulnerable Road User risk
The South Korean traffic solutions company Nota AI, which specialises in using Artificial Intelligence to better manage road safety, will explain to delegates at the ITS European Congress in Lisbon next week how technology can be used to reduce vulnerable road user related accident risks.
Nota AI highlights how technology can reduce Vulnerable Road User risk - Highways News
The South Korean traffic solutions company Nota AI, which specialises in using Artificial Intelligence to better manage road safety, will explain to delegates at the ITS European Congress in Lisbon next week how technology can be used to reduce vulnerable road user related accident risks. The...
highways-news.com
D
Deleted member 118
Guest
It was only a matter of time before more information became available from nasa
www.sbir.gov
Deep Neural Networks (DNN) have become a critical component of tactical applications, assisting the warfighter in interpreting and making decisions from vast and disparate sources of data. Whether image, signal or text data, remotely sensed or scraped from the web, cooperatively collected or intercepted, DNNs are the go-to tool for rapid processing of this information to extract relevant features and enable the automated execution of downstream applications. Deployment of DNNs in data centers, ground stations and other locations with extensive power infrastructure has become commonplace but at the edge, where the tactical user operates, is very difficult. Secure, reliable, high bandwidth communications are a constrained resource for tactical applications which limits the ability to routed data collected at the edge back to a centralized processing location. Data must therefore be processed in real-time at the point of ingest which has its own challenges as almost all DNNs are developed to run on power hungry GPUs at wattages exceeding the practical capacity of solar power sources typically available at the edge. So what then is the future of advanced AI for the tactical end user where power and communications are in limited supply. Neuromorphic processors may provide the answer. Blue Ridge Envisioneering, Inc. (BRE) proposes the development of a systematic and methodical approach to deploying Deep Neural Network (DNN) architectures on neuromorphic hardware and evaluating their performance relative to a traditional GPU-based deployment. BRE will develop and document a process for benchmarking a DNN’ s performance on a standard GPU, converting it to run on commercially available neuromorphic hardware, training and evaluating model accuracy for a range of available bit quantizations, characterizing the trade between power consumption and the various bit quantizations, and characterizing the trade between throughput/latency and the various bit quantizations. This process will be demonstrated on a Deep Convolutional Neural Network trained to classify Electronic Warfare (EW) emitters in data collected by AFRL in 2011. The BrainChip Akida Event Domain Neural Processor development environment will be utilized for demonstration as it provides a simulated execution environment for running converted models under the discrete, low quantization constraints of neuromorphic hardware. In the option effort we pursue direct Spiking Neural Network (SNN) implementation and compare performance on the Akida hardware, and potentially other vendor’s hardware as well. We demonstrate the capability operating on real hardware in a relevant environment by conducting a data collection and demonstration activity at a U.S. test range with relevant EW emitters.
MENTAT | SBIR.gov
www.sbir.gov
Deep Neural Networks (DNN) have become a critical component of tactical applications, assisting the warfighter in interpreting and making decisions from vast and disparate sources of data. Whether image, signal or text data, remotely sensed or scraped from the web, cooperatively collected or intercepted, DNNs are the go-to tool for rapid processing of this information to extract relevant features and enable the automated execution of downstream applications. Deployment of DNNs in data centers, ground stations and other locations with extensive power infrastructure has become commonplace but at the edge, where the tactical user operates, is very difficult. Secure, reliable, high bandwidth communications are a constrained resource for tactical applications which limits the ability to routed data collected at the edge back to a centralized processing location. Data must therefore be processed in real-time at the point of ingest which has its own challenges as almost all DNNs are developed to run on power hungry GPUs at wattages exceeding the practical capacity of solar power sources typically available at the edge. So what then is the future of advanced AI for the tactical end user where power and communications are in limited supply. Neuromorphic processors may provide the answer. Blue Ridge Envisioneering, Inc. (BRE) proposes the development of a systematic and methodical approach to deploying Deep Neural Network (DNN) architectures on neuromorphic hardware and evaluating their performance relative to a traditional GPU-based deployment. BRE will develop and document a process for benchmarking a DNN’ s performance on a standard GPU, converting it to run on commercially available neuromorphic hardware, training and evaluating model accuracy for a range of available bit quantizations, characterizing the trade between power consumption and the various bit quantizations, and characterizing the trade between throughput/latency and the various bit quantizations. This process will be demonstrated on a Deep Convolutional Neural Network trained to classify Electronic Warfare (EW) emitters in data collected by AFRL in 2011. The BrainChip Akida Event Domain Neural Processor development environment will be utilized for demonstration as it provides a simulated execution environment for running converted models under the discrete, low quantization constraints of neuromorphic hardware. In the option effort we pursue direct Spiking Neural Network (SNN) implementation and compare performance on the Akida hardware, and potentially other vendor’s hardware as well. We demonstrate the capability operating on real hardware in a relevant environment by conducting a data collection and demonstration activity at a U.S. test range with relevant EW emitters.
Last edited by a moderator:
D
Deleted member 118
Guest
Now I go to bed, have read a lot today.Yes, I know you make party without me
Sirod69
bavarian girl ;-)
Hi Nick,Syntiant’s Deep Learning Edge AI Computer Vision Models Deployed on Renesas RZ/V2L Microprocessor
Technology Collaboration Demonstrations on Display at the Renesas Booth During Embedded Vision Summit 2023 Irvine, Calif., May 19, 2023 – Syntiant Corp., a leader in edge AI deployment, today announced that the company’s commercially available deep learning computer vision (CV) models can now be...www.syntiant.com
This was posted 6 hours ago. Looks like things are finally materialising
DRP-AI is the Renesas in-house AI. It does not contain Akida.
Sirod69
bavarian girl ;-)
Raul Vergara Executive Vice President Growth at Edge Impulse
Big thank you to all partners who put together amazing content for this road show and for all who attended Boston event (and last event of H1 Edge ML Series). Loved the questions and comments from what was a very lively audience. Thank you Mithun Das for bringing your daughter Sashrika - promising future engineer! Hope to inspire her to continue doing amazing things.
Participating parters: Alif Semiconductor, BrainChip, Nordic Semiconductor MemryX Inc.Texas Instruments
Demo tables: Infineon Technologies Sony Spresense Arduino
Thanks everyone! Be on the look for news on what is next in store for our Edge ML Series!!!
Henrik Flodell Rob Telson Joshua Buck Kirtana Moorthy David Day Manisha Agrawal Sally Atkinson
Eirik Midttun Amir ShermanGetupthere
Regular
Meta is working on a new chip for AI — The Verge
It’s also working on a ‘next-generation data center design’ that’s optimized for AI.
D
Deleted member 118
Guest
Sir? I am not a Sir!!!
Last edited by a moderator:
Boab
I wish I could paint like Vincent
Yes, the only connection is Chris Stevens left Syntiant to join us. When he left in 2022 he held the position VP of sales.
Boab
I wish I could paint like Vincent
Received this email this morning. Just a refresher.
Embracing Disruption and Pushing the Edge
mailchi.mp
Sirod69
bavarian girl ;-)
The Renesas RZ/V2L MPU is equipped with a Cortex®-A55
and that´s not BRN
I am off sailing around Tahiti in Sept. Will scope a suitable venue!I believe the next one will be in Tahiti
Food4 thought
Regular
Wouldn’t be nice if we were involved with Apples new headsets
June 5 is there launch cost around 3k per set now that’s pushing the boundaries of affordability.
June 5 is there launch cost around 3k per set now that’s pushing the boundaries of affordability.
TheFunkMachine
seeds have the potential to become trees.
Hi guys, I thought I would let you all know that I asked Tony Dawe in an email about a few things the company has stated the last couple of years that I would like clarification on. But he would not let me share the correspondence with you guys here as it was a conversation between me and him. I found it interesting, but have chosen to respect his wishes for it to stay private.
Yes, I do mind.
“I would like my reply to remain private. It was written for you, because you asked me a question. Please do not share my reply with anyone.”
Regards
Tony
Non the less these where my questions:
1.” Explosive growth in sales” - what timeline are we talking when company stated that you are experiencing/expecting explosive growth in sales and what are you talking about? Is it sales of IP contracts? How is that going?
2. “Watch the next few quarterly financials to get a sense of where we are going”- paraphrased by our CEO Sean Heir he said something to the same effect. What timeframe is he talking about when he said watch the next few quarters? It sounded to me like we won’t see many announcements to keep track of Brainchips success rather watch the financials to track our progress. This is a bit concerning in light of our last Q results.
3. With the launch of Akida 2.0 which obviously is an improvement on AKD1.0, what will happen to all our 100+ NDAs and EAPs that have been engaged around AKD1.0? Are they still engaged with the company and are they switching their eyes to the next generation 2.0? Why haven’t we heard anything from our EAP or companies like Ford and Valeo who has been engaged with us for years?
Please help me understand to your best capacity.
I wrote this email as someone who has been invested in brainchip for over 6 years and feel I have the right as a share holder to ask these questions. I am not concerned and believe we are in a better position then we have ever been in, however the things I have mentioned has been a question mark to me and would like to know what is going on.
I encourage you to send Tony an email if you have any pressing worries or questions as he was promptly with his reply. Unfortunately as for-mentioned I can’t share his response with you.
Yes, I do mind.
“I would like my reply to remain private. It was written for you, because you asked me a question. Please do not share my reply with anyone.”
Regards
Tony
Non the less these where my questions:
1.” Explosive growth in sales” - what timeline are we talking when company stated that you are experiencing/expecting explosive growth in sales and what are you talking about? Is it sales of IP contracts? How is that going?
2. “Watch the next few quarterly financials to get a sense of where we are going”- paraphrased by our CEO Sean Heir he said something to the same effect. What timeframe is he talking about when he said watch the next few quarters? It sounded to me like we won’t see many announcements to keep track of Brainchips success rather watch the financials to track our progress. This is a bit concerning in light of our last Q results.
3. With the launch of Akida 2.0 which obviously is an improvement on AKD1.0, what will happen to all our 100+ NDAs and EAPs that have been engaged around AKD1.0? Are they still engaged with the company and are they switching their eyes to the next generation 2.0? Why haven’t we heard anything from our EAP or companies like Ford and Valeo who has been engaged with us for years?
Please help me understand to your best capacity.
I wrote this email as someone who has been invested in brainchip for over 6 years and feel I have the right as a share holder to ask these questions. I am not concerned and believe we are in a better position then we have ever been in, however the things I have mentioned has been a question mark to me and would like to know what is going on.
I encourage you to send Tony an email if you have any pressing worries or questions as he was promptly with his reply. Unfortunately as for-mentioned I can’t share his response with you.
Similar threads
