I bought more today as well. AKIDA validated by ARM? ... doesn't get much better than that.ROFL I said no more, then just bought another 19k worth. I'll be honest and say, they are not likely to be long term hold more mid term end of year stuff. Well, we'll see
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Bravo
If ARM was an arm, BRN would be its biceps💪!
Sorry I should have included this as well because it's all interrelated.
ARM adds AI, virtual hardware support to Keil MDK 6
ARM is to launch Keil MDK6 with support for the M55 and M85 Cortex cores, AI accelerators and virtual hardware.
www.eenewseurope.com
BrainChip Joins Arm Tech Talk to Discuss Cutting-Edge AI Solutions
LAGUNA HILLS, Calif., May 8, 2023 — BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event- based, neuromorphic AI IP, has announced the upcoming Arm […]
www.hpcwire.com
Sorry not sure if already posted, news is spreading about the Tech Talk
How Neuromorphic Processing and Self-Searching Storage Can Slash Cyber Risk for Federal Agencies
buff.ly
How Neuromorphic Processing and Self-Searching Storage Can Slash Cyber Risk for Federal Agencies
The amount of information organizations must process at the edge has exploded. This is especially true for federal agencies and the military, which
buff.ly
Obviously ARM will not commit to using AKIDA at the 'Tech Talk' but if they say how good it is, compatibility, what they can do with the addition of AKIDA blah, blah the market should be able to read between the lines.
This is a great tool to give the market an 'its getting closer' feel'.
Markets move on expectations - they look forward.
This is a great tool to give the market an 'its getting closer' feel'.
Markets move on expectations - they look forward.
To give a convincing demonstration, they will probably show real life applications, rather than just fps etc., with M85 running some application software.
Perhaps they will give some performance figures for use of Akida 2 with M85 and, say, Prophesee or a LiDaR system running with some navigation software on M85 ... or vibration detection with M85 responding to the Akida classification ... or more exotic applications involving TeNNs/ViT. By moving TeNNs to the Akida software, it may be possible to run much more complex applications on an MCU than was previously possible because such functions take up too much processing power when done in software.
Less than half a sleep to find out ...
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AI at the Edge: Going Cloudless with Arm and BrainChip
Date & Time
Selected Sessions:
May 10, 2023 01:00
Description
This Tech Talk will highlight the ease of deploying best-in-class power efficient AI combining BrainChip's Akida Neuromorphic AI Accelerator with the Arm Cortex-M family., including the Arm Cortex-M85. The presentation is designed to showcase the disruptive potential of the technology combination, including a look at the 2nd generation of Akida to create compelling, cloudless Edge AI solutions for advanced vision, video object detection and vital signs prediction, that weren’t possible before. This talk is part of the Arm Tech Talk Series: https://www.arm.com/techtalks Arm will process your information in accordance with our Privacy Policy: https://www.arm.com/company/policies/privacy.
D
Deleted member 118
Guest
With the Arm talk due out in a few hours I’m expecting a massive amounts of shorts to be taking out for tomorrow’s trade, but I hope I’m
Boab
I wish I could paint like Vincent
D
Deleted member 118
Guest
Who’s he
Quatrojos
Regular
The love child of Boris Yeltsin and Dick Van Dyck
Kevin McQuay
Big Kev dies aged 55
Flamboyant Gold Coast businessman Kevin "Big Kev" McQuay has died on the Gold Coast at the age of 55.
Vladsblood
Regular
Will be interesting to see just what garbology "twatly fools " say about it. Vlad
I used to get excited about events such as these…can we all remember the excitement around the big reveal with valeo and it was something like an electric bike???
Agreed it’s awesome that Arm with be showing Akida wares…just pls don’t be too disappointed if 5/8 of F all comes out of it, especially those who want to have a whinge about SP! We haven’t had any price sensitive announcement in relation to this, so I’m not expecting much from the tech event tonight.
In saying that, it’s still bloody exciting and some great exposure for us.
Cheers and Akida ballista
Agreed it’s awesome that Arm with be showing Akida wares…just pls don’t be too disappointed if 5/8 of F all comes out of it, especially those who want to have a whinge about SP! We haven’t had any price sensitive announcement in relation to this, so I’m not expecting much from the tech event tonight.
In saying that, it’s still bloody exciting and some great exposure for us.
Cheers and Akida ballista
TechGirl
Founding Member
Hi All,
embeddedvisionsummit.com
Date: Tuesday, May 23
Start Time: 4:50 pm
End Time: 5:20 pm
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with […]
embeddedvisionsummit.com
Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
Date: Tuesday, May 23
Start Time: 4:50 pm
End Time: 5:20 pm
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
Track
Session Speakers
-
Nandan Nayampally
Chief Marketing Officer, BrainChip
Nandan Nayampally is an entrepreneurial executive with over 25 years of success in building or growing disruptive businesses with industry-wide impact. Nandan is an industry thought leader in the world of AI, most recently at Amazon leading the delivery of Alexa AI tools for Echo, Fire TV and other consumer devices. Prior to that he spent more than 15 years at Arm, including roles as GM developing Arm’s CPU and broader IP portfolio into an industry leader that is built into over 100B chips. He started his career at AMD on their very successful Athlon processor program. He also helped grow product lines in start-up businesses such as Silicon Metrics and Denali Software, which later had successful acquisitions. Nandan has a BTech in Computer Science and Engineering from the Indian Institute of Technology Mumbai and an MA in Computer Science from the University of Texas at Austin.
TechGirl
Founding Member
Hi All
I was just checking out the embedded vision summit that BrainChip is speaking at on 23rd May & noticed Jae-sun Seo - Associate Professor of Electrical Engineering at Arizona State University is speaking about SNN.
Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-Aware Algorithms - 2023 Embedded Vision Summit
Date: Tuesday, May 23
Start Time: 12:00 pm
End Time: 12:30 pm
Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues have persisted. First, directly training SNNs has not yielded competitive inference accuracy. Second, non-spike inputs must be converted to spike trains, resulting in long latency. Recently, SNN algorithm accuracy has improved significantly, aided by new training techniques, and commercial event-based dynamic vision sensors (DVSs) have emerged. Integrating a spike-based DVS with an SNN accelerator is a promising approach for end-to-end, event-driven operations. We also need accurate and hardware-aware SNN algorithms that can be directly trained with input spikes from a DVS while reducing storage and compute requirements. In this talk, we’ll introduce the characteristics, opportunities and challenges of SNNs, and present results from projects utilizing neuromorphic algorithms and custom hardware.
I was just checking out the embedded vision summit that BrainChip is speaking at on 23rd May & noticed Jae-sun Seo - Associate Professor of Electrical Engineering at Arizona State University is speaking about SNN.
Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-Aware Algorithms - 2023 Embedded Vision Summit
Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-Aware Algorithms
Date: Tuesday, May 23
Start Time: 12:00 pm
End Time: 12:30 pm
Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues have persisted. First, directly training SNNs has not yielded competitive inference accuracy. Second, non-spike inputs must be converted to spike trains, resulting in long latency. Recently, SNN algorithm accuracy has improved significantly, aided by new training techniques, and commercial event-based dynamic vision sensors (DVSs) have emerged. Integrating a spike-based DVS with an SNN accelerator is a promising approach for end-to-end, event-driven operations. We also need accurate and hardware-aware SNN algorithms that can be directly trained with input spikes from a DVS while reducing storage and compute requirements. In this talk, we’ll introduce the characteristics, opportunities and challenges of SNNs, and present results from projects utilizing neuromorphic algorithms and custom hardware.
Track
Session Speakers
-
Jae-sun Seo
Associate Professor, Arizona State University
Jae-sun Seo is an Associate Professor of Electrical Engineering at Arizona State University and a Visiting Researcher at Meta Reality Labs. His research interests include efficient ASIC and FPGA hardware design of machine learning algorithms and neuromorphic computing. Before joining ASU, he worked at the IBM Thomas J. Watson Research Center from 2010 to 2013. Dr. Seo was a recipient of the IBM Outstanding Technical Achievement Award (2012), NSF CAREER Award (2017), Intel Outstanding Researcher Award (2021) and IEEE TVLSI Best Paper Award (2022). He has served on the technical program committees for many conferences, including the ISSCC, MLSys, DAC, DATE and ICCAD.
Bombersfan
Regular
Good post, this all has the pre 4c feels about it, when people were talking up all the millions that could be there but we’re never gonna be there then all the toys came out of the cot because they weren’t there. I fell for something similar before the ces this year. All the pre build up was great, I’m sure the demos were great, and was hoping for another “Mercedes moment” but nothing material.
ARM can/will be a game changing partner but it’s a tech talk, there’ll be some nice demos, it’ll be interesting and informative with talk of possibilities and potentials but there’ll be nothing material in this event. Very happy to eat humble pie tomorrow if wrong but I expect no change to current flat sp trend and think some expectations need to be tempered.
cassip
Regular
Hi to all,
maybe of interest for some of you: "Mobileye does not apply for approval for autonomous driving"
excerpt: "Mobileye, the Israeli subsidiary of U.S. chipmaker Intel, will not seek approval for an autonomous driving vehicle. Handelsblatt learned this as part of the federally supported pilot project "AI-based Regular Operation of Autonomous On-Demand Transport" (Kira).
The project was intended to transport a total of 15 self-driving cars in public transport as a shuttle service for the first time worldwide. Some of the vehicles were to operate in Darmstadt, the others in Offenbach. In order to use such vehicles, type approval from the German Federal Motor Transport Authority is mandatory.
The Federal Ministry of Transport confirmed corresponding information about the setback for autonomous driving. The ministry was "informed about this decision," a spokesman told Handelsblatt. "This decision is a corporate decision, the reasons are not known to the ministry.""
at the same time: "Porsche concludes comprehensive cooperation with Mobileye"
excerpt "The Volkswagen Group is expanding its cooperation with the Israeli Intel subsidiary Mobileye. The tech company will produce driver assistance systems in series with sports car manufacturer Porsche in the future, both companies announced on Tuesday. Currently, the VW Group is already cooperating with Mobileye on automatic lane keeping and changing.
Through the new cooperation, Porsche intends to offer automated assistance as well as navigation functions, also known in technical jargon as Level 2+ of automated driving. In this level, drivers are allowed to take their hands off the steering wheel, but must continue to keep their eyes on the road to be able to intervene at any time."
www.handelsblatt.com
maybe of interest for some of you: "Mobileye does not apply for approval for autonomous driving"
excerpt: "Mobileye, the Israeli subsidiary of U.S. chipmaker Intel, will not seek approval for an autonomous driving vehicle. Handelsblatt learned this as part of the federally supported pilot project "AI-based Regular Operation of Autonomous On-Demand Transport" (Kira).
The project was intended to transport a total of 15 self-driving cars in public transport as a shuttle service for the first time worldwide. Some of the vehicles were to operate in Darmstadt, the others in Offenbach. In order to use such vehicles, type approval from the German Federal Motor Transport Authority is mandatory.
The Federal Ministry of Transport confirmed corresponding information about the setback for autonomous driving. The ministry was "informed about this decision," a spokesman told Handelsblatt. "This decision is a corporate decision, the reasons are not known to the ministry.""
at the same time: "Porsche concludes comprehensive cooperation with Mobileye"
excerpt "The Volkswagen Group is expanding its cooperation with the Israeli Intel subsidiary Mobileye. The tech company will produce driver assistance systems in series with sports car manufacturer Porsche in the future, both companies announced on Tuesday. Currently, the VW Group is already cooperating with Mobileye on automatic lane keeping and changing.
Through the new cooperation, Porsche intends to offer automated assistance as well as navigation functions, also known in technical jargon as Level 2+ of automated driving. In this level, drivers are allowed to take their hands off the steering wheel, but must continue to keep their eyes on the road to be able to intervene at any time."
Automatisiertes Fahren: Porsche schließt umfassende Kooperation mit Mobileye
Mit dem israelischen Tech-Unternehmen setzt Porsche auf einen konzernbekannten Partner. In der Belegschaft macht man sich Sorgen über Ähnlichkeit mit anderen Kooperationen.
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