BRN Discussion Ongoing
- Thread starter TechGirl
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To me it's highly likely we're involved with this. As per your artical the DA14706 is using the ARM Cortex M-33.Hmmmm
I can't see full details of say the "like" date etc but maybe someone else can?
Seemed interesting given the MCUs description & short video on the Renesas link...kinda like Hey Google or Alexa style.
Picked up Alvaro from the latest CNN2SNN update from Nov 29th.
Alvaro Moran
Software Engineer chez BrainChip Holdings Limited
BrainChip Holdings Limited Università degli Studi di Genova
Toulouse, Occitanie, France
566 followers 500+ connections
Low Power Keyword Detection on DA1470x
See how the DA1470x family of integrated Bluetooth® Low Energy MCUs enables voice control and machine learning on the edge.
DA14706-00HZDEVKT-P - SmartBond™ DA1470x Bluetooth® Low Energy Development Kit Pro
The SmartBond™ DA1470x Bluetooth® Low Energy Development Kit Pro contains a mother board, DA14706 daughterboard, current sensing board and a display board.www.renesas.com
Reading this article BrainChip a very high chance of being involved
"So that's kind of the plan that we have
to evolve that into that landscape," he
said. "At the very low end, we have
added an ARM M33 MCU and spiking
neural network with Brain Chip core
icensed for selected applications -we
have licensed what we need to license
from BrainChip including the software
to get the ball rolling."
ARM battles RISC-V at Renesas
Dr. Sailesh Chittipeddi, Executive Vice President and General Manager of IoT and Infrastructure Business Unit of Renesas Electronics talks to eeNews Europe
www.eenewseurope.com
Terroni2105
Founding Member
the use of a hashtag on LinkedIn is to direct traffic (others who search the term) to your post, it is not to tag the company in it, hence he is using it knowing people who search the word BrainChip will end up looking at his post / article. If he wanted to tag the company he would use the ‘@‘
Tothemoon24
Top 20
Plenty of space for Akida 
Bev Space-BACN sizzling along as DARPA awards Phase 2 contracts in laser link project
By Theresa Hitchens on December 01, 2023 at 2:06 PM
DARPA’s Space-BACN is aimed at a ‘universal’ optical satellite interlink terminal that can translate between incompatible satellite networks. (DARPA)
WASHINGTON — The Defense Department’s far-future research agency, DARPA, has moved its Space-BACN project to develop low cost, reconfigurable optical intersatellite links into its second phase, down-selecting seven contractors from 11 in the first phase to move ahead with development, according to a DARPA spokesperson.
Under Space-BACN, for Space-Based Adaptive Communications Node, DARPA is seeking to enable satellite constellations using different communications protocols to cross-talk. While DARPA is focused on low Earth orbit constellations, working hand-in-hand with the Space Development Agency to support its Proliferated Warfighter Space Architecture, the Space Force envisions laser links as the wave of the future for all orbital regimes out to deep space.
“Future space systems will require reliable, high-throughput intra- and inter-constellation communications with the flexibility to form the future backbone of a resilient mesh network ensuring C2 [command and control] and information path diversity,” the service explained in a January request for information to vendors on development of a new laser comms modem for “Beyond Low Earth Obit (bLEO).” The modem should be able to crosslink satellites orbiting between 10,000 kilometers and 70,000 kilometers apart from each other, the request added.
Long-range, high-speed optical communications will be critical for the service’s plans for a “hybrid architecture” that would see networks of old and new military satellites, as well as commercial and allied networks, all communicating seamlessly to shift vast quantities of data around the world in near real-time. Further, optical communications will help the Space Force and US Space Command bring to life its vision of “dynamic space operations” using highly mobile, long-lived spacecraft.
DARPA launched Space-BACN in late 2021 with 14 vendors, and awarded Phase 1 development contracts to 11 companies in August 2022. The work is broken down into three Technical Areas (TAs):
- TA1 contractors are developing the telescope on what DARPA hopes will be a standardized terminal for sending and receiving laser links, with the agency looking for a “modular, low -size,-weight, -power and -cost (SWaP-C) optical aperture,” including “an overall terminal controller, responsible for pointing, acquisition and tracking,” and terminal command and telemetry. Mbryonics was tapped to move into Phase 2 of TA1, a DARPA spokesperson told Breaking Defense today, but another company is expected to be selected shortly.
- TA2 contractors are designing the back end of the terminal; that is, a “reconfigurable modem that can support multiple optical waveforms up to 100 Gbps on a single wavelength.” Intel Federal and Arizona State University are the Phase 2 winners for this area, the DARPA spokesperson said.
- TA3 contractors are helping DARPA design the cross-communications command and control system, including development of standards, common application programming interfaces, and concepts of operations to enable cross-constellation interoperability. It also includes working on cybersecurity solutions. Telesat Government Solutions, SpaceX and Amazon subsidiary Kuiper Government Solutions have been chosen to continue their TA3 Phase 1 work into Phase 2, the spokesperson said.
Phase 2 work is expected to last about 20 months, and while DARPA did not reveal the value of the contracts, the agency budged $31.9 million in fiscal 2023 for Space-BACN, and asked for $32.1 million in FY24.
Mac Dreezy
Emerged
Hi all,
Just wondering if anyone has come across this before? I tried searching the forum but couldnt find anything. Anyway, they are using neural networks in their research. This looks like work definitely suited to Akida?
https://hmri.org.au/news-article/making-medicine-artificial-intelligence
Just wondering if anyone has come across this before? I tried searching the forum but couldnt find anything. Anyway, they are using neural networks in their research. This looks like work definitely suited to Akida?
https://hmri.org.au/news-article/making-medicine-artificial-intelligence
Hi Mac,
I doubt that the Uni is using Akida. The reference to NNs used in ChatGPT refers to software.
There are many different microbes in the gut, and I would guess that they are building a database of the gut biomes of people with IBS and people without it, and trying to identify the differences.
This research analysis can be carried out on a normal computer with lab results from the analysis of the microbiomes.
Once they have identified the culprit microbes, or the missing beneficial microbes, and they develop a portable sensor able to detect the target microbes, then the portable detector could use Akida.
SERA2g
Founding Member
Analytics insight is a piece of shit. I think it's an Indian based news producer that pushes out bulk articles for ad revenue. I was following their articles about a crypto coin for a while and it was almost daily news about how it was going to pump and it never did haha. I think they also you ai to write alot of their content.Totally agreed.
However, I am extremely curious to find out where I can get my hands on that super secret stash of extremely discounted NVIDIA shares?!
View attachment 51224
Since the analyst’s article was published on Nov 25 (and not April 1) and the author doesn’t mention fractional shares as an explanation, I am honestly perplexed. I trust everyone frequenting TSE would not have missed the stock’s stellar run this year so far (although some posters here have made it clear they do not believe the company’s growth is sustainable or have even predicted its ultimate demise):
View attachment 51225
To the best of my knowledge, there are no NVIDIA Class A and B shares (like with Berkshire Hathaway, where BRK-B closed at US $ 357.07 in New York on Friday, whereas the purchase of one BRK-A share would have set you back a whopping US $ 542,414.00 at closing bell).
Am I overlooking something?If not, I wonder whether readers of that Top AI stocks under $10 article who are not yet familiar with BRN would even bother to read on after that first paragraph and trust the analyst’s judgement on other stocks?
I happily own both NVIDIA (which is currently well over 100 % in the green in my portfolio) and BRN (still snorkelling underwater in the Red Sea), and IMO it is more than obvious which of the two stocks really “offers investors an affordable entry point into the AI revolution”, and it is clearly not the one already listed on the NASDAQ…
Them writing about Brainchip is a moot point imo.
I'm going to say yes for this.
Firstly our Scientific Advisor (forget name) worked in the gut - discovering the cause of stomach ulcers, winning the Nobel prize no less!
Secondly the Akida type of NN - spiking NN's are great at clustering all the data. ie. the biotome into different types of microbes. This is the N of K problem that most NN's havbe trouble with. It would also be great at comparing the biotome of patient over time. ie is there a sudden bloom of a particular microbe during attacks that wasn't prevalent before.
Not sure how akida could help with the stem cell part. They seem to be hard to use in a treatment - just ask Mesoblast.
MDhere
Regular
Barry Marshall
Pom down under
Top 20
Pressuee
business.gov.au
and I wonder what new methods they have come up withBarry Marshall
Biotome – Developing new methods of cancer screening | business.gov.au
Perth-based biotechnology company, Biotome, develops next generation antibody diagnostic tools.
Learning
Learning to the Top 🕵♂️
Once again Socionext is showcasing Akida at CES 2024.
socionextus.com
Learning
CES 2024 - Socionext America
Thank you for joining us at CES 2024! If you missed us and our custom SoC offerings and solutions we revealed at the event this year, we’d still like to hear from you! Event Highlights Automotive Custom SoC Solution Low Power 60GHz Radar Sensors Smart Display Controller for Automotive DSLR-grade...
socionextus.com
Learning
spookymulder
Member
Not sure if this has been posted, came across this on LinkedIn. Haven't had time to catch up with the thread. Very surprised to see our man Sean on this list ! (Right near the bottom )
Australia says AI will be used to help track Chinese submarines under new Aukus plan
Defence minister Richard Marles and counterparts from the UK and US say new technologies will be deployed by militaries
Once again Socionext is showcasing Akida at CES 2024.
View attachment 51266CES 2024 - Socionext America
Thank you for joining us at CES 2024! If you missed us and our custom SoC offerings and solutions we revealed at the event this year, we’d still like to hear from you! Event Highlights Automotive Custom SoC Solution Low Power 60GHz Radar Sensors Smart Display Controller for Automotive DSLR-grade...
View attachment 51267
Learning
Hi Learning,
I'm a little confused by the
"Socionext;s partner - Brainchip's Videos" followed by 2 purely Socionext 60GHz radar videos.
On the Socionext automotive page: https://socionextus.com/products/automotive-custom-soc/ ,that heading is followed by links to Brainchip's MetaTF, Youtube and Enablement information.
The Socionext radar videos are further up the page and the block diagram is at https://www.socionext.com/en/products/assp/radar-sensor/SC1260/
This does not include an NNA.
Advanced AI Solutions for Automotive
Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip’s Akida® processor IP.BrainChip’s flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.
However, the following does appear nearer the top of the page in relation to the Socionext multi-processor SoC:
Automotive Custom SoC Technologies and Solutions (socionextus.com)
Automotive Custom SoC Technologies and Solutions
Socionext’s advanced automotive custom SoC solutions are designed to help OEMs and tier-one automakers achieve differentiating technologies
socionextus.com
Automotive Custom SoC Technologies and Solutions
Featuring advanced technologies in automotive display, AI, and smart sensing
Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge.
These custom SoCs enable a wide range of applications, including ADAS sensors, central computing, networking, in-cabin monitoring, satellite connectivity, and infotainment.
Design and Development:
High core count CPU subsystem development
Safety Island, System Management, and Secure Boot
High Performance interconnect (NIC/NOC)
ISP, GPU & NNA acceleration for power/performance optimization
The NNA accelerator is shown top right of the diagram, but this is not the Radar block diagram which does not include the multi-processor SoC.
Given the references to Brainchip on the page, it is possible that the NNA is or will be Akida in the next generation.
EDIT: No - that's wrong:
"Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption."
If they are using Akida in a distributed way (at the sensor), then they will not be using the full scale processor (CPU/GPU/NNS/ISP) SoC at the sensor.
But that does not stop them from using Akida in the full processor at some future date.
This is the Socionext gesture recognition patent
US2021026458A1 GESTURE RECOGNITION METHOD AND GESTURE RECOGNITION DEVICE
The recognition engine 28 is trained by "machine learning" by training it on various signal patterns generated by different gestures, but it is not described as a neural network. So the recognition engine is performing a task that Akida could do, but we don't know how efficiently it performs.
Given that the patent was filed before they knew about Akida, and they learned about Akida before the ink was dry on their patent application, perhaps they have an updated design in the pipeline. Possibly even one where Akida is incorporated into the radar receiver?
Last edited:
RENESAS definitely worth seeing
SharesForBrekky
Regular
Great spot spooky.
Not too sure if I should be surprised or not. Having a look on this list, there appears to be only 3 tech-like companies (could be wrong though) above Brainchip ie.Kogan, Computershare and Carsales. Sean also lies not far below the CEOs of the big 4 Aussie banks, wow!
Even though no real surprise, but I think it's a pretty good indicator Brainchip are going full throttle here, definitely no holding back.
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