www.youtube.com
Are we not an IP company? Those companies produce chips. Maybe that’s why we’re not on the list
..none the less, who really cares, our engagements tell the "real story" don't they.
I guess the question is when will the true value of brainHi Jo...nice to see you post, try it more often, what you questioned is 100% correct, Sally knows our company extremely well, she wouldn't leave us out to be vindictive, either it was paid content which is a strong possilbility or she doesn't like Sean
We are definitely getting what I'd term..strong interest from, NASA, ESA, USAFRL, RATHEON, DOD, US NAVY, AIRBUS, THALES, DOE...just to name a few...think of aerospace companies, think of anything that the human imagination can vision, we are in "a" boxseat.
Remember what our former poster used to say, we only need 1% of the future action to be successful, my only criticism would be, "I'll never sell below $40 a share"...absolute bullshit, I hope we are both still alive to shake hands on that...we will be sold prior to that...check Seans record.
Keep the great posts coming through, lots of excellent opinions being shared...opinions are never right nor wrong...just different viewpoints, and they are all valuable.
God Bless Believers.
be determined and when will we get some traction on the ASX.
First month gone only 11 to go before the next Santa rallyI guess the question is when will the true value of brain
I personally think unless we get a wriggle on we might get lost in the white wash i really hope we can just get some signings soon.
Thanks for that image.
github.com
thestockexchange.com.au
thestockexchange.com.au
Thats an excellent idea @uiux , i haven’t had time to go through it all but its great to have them all there in one spot, a wonderful effort by youI built a tool that lets you summarise all the videos on a youtube channel, for example, BrainChips
GitHub - stdp/youtube-summary
Contribute to stdp/youtube-summary development by creating an account on GitHub.
The results of these scripts looks like thus:
CES Podcasts
Podcast Summaries [CES]
Overview: The podcast discusses Miami Technologies' advancements in audio and speech AI algorithms, highlighting their applications and implications at CES. The conversation also explores the integration of edge computing with such technologies and examines their impact on power consumption and...
Standard Podcasts
Podcast Summaries [Episodes]
Overview: The podcast is part of Brainchip's quarterly investor communication, featuring an interview with Chairman Antonio J Viana. It addresses common questions from shareholders about the company’s business model transition, product development, market strategies, and communication policies...
If useful, can create a few more posts of the rest of the videos.
感情検出・認識（EDR）：市場シェア分析、産業動向と統計、成長予測（2025年～2030年）
感情検出・認識（EDR）市場規模は、2025年に684億1,000万米ドルと推定され、予測期間（2025-2030年）のCAGRは19.49%で、2030年には1,666億3,000万米ドルに達すると予測されます。www.gii.co.jp
Need to translate to English and search brainchip
If correct....bullet dodged
Prophesee company information, funding & investors
Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Here you'll find information about their funding, investors and team.app.dealroom.co
Prophesee Files for Insolvency Despite Technological Advancements
Prophesee, the French deeptech company known for its advanced 'neuromorphic' computer vision technology, has filed for insolvency and entered judicial recovery in October 2024. This development comes just months after announcing a partnership with AMD to integrate its technology into their products. Despite raising €126 million in total funding, Prophesee cited unexpected delays in its next fundraising round as the reason for its financial troubles. As of now, there are no reports of an acquisition, leaving the future of this innovative startup uncertain. The company's situation highlights the ongoing challenges faced by tech startups in maintaining financial stability, even amid technological breakthroughs.
Source: Sifted
December, 2024
(D.D)
Here’s the relevant document published in BODACC, the French government’s Official Civil and Commercial Advertising Newsletter:
View attachment 75338
View attachment 75337
Since the translation of legal terms is a tricky thing given countries have different legal systems, it would be helpful if someone with knowledge about the French legal system could comment on the exact nature of this “procédure de redressement judiciaire”, which as far as I understand appears to be an attempt at restructuring a company in dire financial difficulties that has suspended payments.
Translation by DeepL:
Date: 15 October 2024.
Judgment opening receivership proceedings.
800 681 892 RCS Paris.
PROPHESEE.
Form: Société anonyme.
Business: Research and development of neuromorphic sensors and the methodology and processes for using them. Address: 74, rue du Faubourg Saint-Antoine, 75012 Paris.
Supplementary judgment: Judgment pronouncing the opening of receivership proceedings, date of cessation of payments 17 September 2024, appointing: administrator Selarl Aj Up in the person of Me Paul-Henri Audras 5 avenue de Messine 75008 Paris, with the following mission: to assist, judicial representative Selarl Athena in the person of Me Camille Steiner 16 rue Friant 75014 Paris. Claims must be submitted to the court-appointed agent or via the electronic portal provided for in articles L. 814-2 and L. 814-13 of the French Commercial Code within two months of publication in the Bodacc.
Redressement judiciaire d'une société
La procédure de redressement judiciaire est une procédure collective qui permet la poursuite de l'activité d'une société qui se trouve en état de cessation des paiements. Cette procédure permet notamment de geler les dettes et d'obtenir des remises de dettes et des délais de paiement lors de...entreprendre.service-public.fr
Redressement judiciaire d'une société
Vérifié le 01 janvier 2025 - Direction de l'information légale et administrative (Premier ministre)
La procédure de redressement judiciaire est une procédure collective Procédure destinée aux entreprises qui ont des difficultés financières. Il existe plusieurs procédures selon la situation de l'entreprise et la gravité des difficultés rencontrées : sauvegarde, redressement judiciaire ou liquidation judiciaire. Les créanciers sont collectivement représentés par un mandataire judiciaire ou un liquidateur judiciaire.qui permet la poursuite de l'activité d'une société qui se trouve en état de cessation des paiementsSituation où la trésorerie dont l'entreprise dispose n'est plus suffisante pour régler ses dettes. Dans ce cas, l'entreprise doit effectuer une déclaration de cessation des paiements, appelée dépôt de bilan, auprès du tribunal de commerce ou du tribunal judiciaire.. Cette procédure permet notamment de geler les dettes et d'obtenir des remises de dettes et des délais de paiement lors de l'adoption du plan de redressement.
Translation by DeepL:
Company in receivership
Verified on 01 January 2025 - Direction de l'information légale et administrative (Prime Minister)
The receivership procedure is a collective procedure for companies in financial difficulty. There are several procedures depending on the company's situation and the seriousness of the difficulties encountered: safeguard, receivership or compulsory liquidation. Creditors are collectively represented by a court-appointed trustee or a court-appointed liquidator.which allows a company to continue trading if it is in a state of suspension of paymentsA situation in which the company no longer has sufficient cash to pay its debts. In this case, the company must file a declaration of suspension of payments, known as filing for bankruptcy, with the Commercial Court or the Court of First Instance. This procedure makes it possible to freeze debts and obtain debt write-offs and payment deadlines when the recovery plan is adopted.
Hi F4T,I guess the question is when will the true value of brain
I personally think unless we get a wriggle on we might get lost in the white wash i really hope we can just get some signings soon.
Thanks for that.Here’s an update on Prophesee’s financial woes straight from the horse’s mouth:
View attachment 77050
Hi jtardif,
As I said a couple of days ago:
It looks like there will be no Akida IP silicon in ADAS in the near future, and Akida simulation software appears to be impractical for EVs. As DB says, there's always hope it can make an appearance in infotainment.
Having been rummaging through my archives, I dug out this article (Google translated from German) which also puts the dampener on infotainment:
Mercedes-Benz wechselt von NVIDIA zu Qualcomm
Qualcomm zieht bei Mercedes-Benz ein - den Anfang macht die neue E-Klasse mit MBUX NTG 7 (MBUX 3). Das wurde auf der IAA 23 auch bestätigt.mbpassion.de
MERCEDES-BENZ MOVES FROM NVIDIA TO QUALCOMM
MARKUS JORDAN·TECHNOLOGY·SEPTEMBER 11, 2023
As Qualcomm officially confirmed at the IAA Mobility 2023 in Munich, Mercedes-Benz will in future use the hardware from Qualcomm's Snapdragon Digital Chassis for the MBUX infotainment platform (3) as well as the telematics functions of the vehicles, including connection to the 5G wireless network. Qualcomm bundles the latter function in its own Snapdragon Automotive Connectivity platform. A first model for this is the new E-Class of the 214 model series, which will be launched on the market before the end of 2023.
In the current MBUX generation (NTG 7), Mercedes-Benz still uses processors from the manufacturer NVIDIA, the largest version of which is an 8-core processor with 24 GB of RAM. Neither Mercedes-Benz nor Qualcomm initially announced in detail which Qualcomm processors will provide replacements in the future. Mercedes-Benz is using the technology to implement the new MBUX (3) infotainment system including Superscreen in the new E-Class. The supplier here is Bosch, which buys directly from Qualcomm and delivers to Mercedes-Benz.
With the cooperation with Qualcomm, Mercedes-Benz will discontinue or at least limit the use of NVIDIA processors in the MBUX system in the future. However, since the Stuttgart-based company has agreed on "revenue sharing" with Nvidia, Nvidia has so far received a share of the revenue that Mercedes-Benz generates from the sale of driver assistance systems. The agreement previously amounted to a 50 percent share of the proceeds.
In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.
There’s no “so called” about it Mr Merc!
Our little nipper does just that, reeeeealy well. Go get em tiger
I guess the advantage of IP is that it is in some way along with LDA reserve funding an insolvency blocker.
Hey Flenton!
by a team of web developers based in Estonia to promote the benefits of Edge AI and neuromorphic computing to a wider audience:
Nice
Paper HERE
Submitted on 21 Jul 2024]
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy
Objective: This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used group-level, models using electroencephalographic data. The efficacy of the method is studied on an advanced driver assist system related task of predicting braking intention. Main Results: Efficacy of the above methodology to develop individual specific braking intention predictive models by rapidly adapting the group-level model in as few as three training epochs while achieving at least 90% accuracy, true positive rate and true negative rate is presented. Further, results show an energy reduction of over 97% with only a 1.3x increase in latency when using the Akida AKD1000 processor for network inference compared to an Intel Xeon CPU. Similar results were obtained in a subsequent ablation study using a subset of five out of 19 channels.
Significance: Especially relevant to real-time applications, this work presents an energy-efficient, few-shot transfer learning method that is implemented on a neuromorphic processor capable of training a CSNN as new data becomes available, operating conditions change, or to customize group-level models to yield personalized models unique to each individual.
5. Conclusion
The results show that the methodology presented was effective to develop individual-level models deployed on a state-of-the-art neuromorphic processor with predictive abilities for ADAS relevant tasks, specifically braking intent detection.
This study explored a novel application of deep SNNs to the field of ADAS using a neuromorphic processor by creating and validating individual-level braking intent classification models with data from three experiments involving pseudo-realistic conditions. These conditions included cognitive atrophy through physical fatigue and real-time distraction
and providing braking imperatives via commonly encountered visual stimulus of traffic lights. The method presented demonstrates that individual-level models could be quickly created with a small amount of data, achieving greater than 90% scores across all three classification performance metrics in a few shots (three epochs) on average for both the ACS and FCAS. This demonstrated the efficacy of the method for different participants operating under non-ideal conditions and using realistic driving cues and further suggests that a reduced data acquisition scheme might be feasible in the field.
Furthermore, the applicability to energy-constrained systems was demonstrated through comparison of the inference energy consumed with a very powerful CPU in which the Akida processor offered energy savings of 97% or greater. The Akida processor was also shown to be competitive in inference latency compared to the CPU. Future work could
include implementation of the method presented on a larger number of participants, other neuromorphic hardware, different driving scenarios, and in real-world scenarios where individual-level models are created by refining previously developed group-level models in real time.
