BRN Discussion Ongoing
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Smoothsailing
Regular
Very interesting, AppleI just stumbled across some interesting news about some researchers of a fruit-related company that have published a ML-model for creating a depth-map from a 2-dimensional image (without relying on the availability of metadata such as camera intrinsics).
Most obvious use case: blurring image regions dependent on (calculated) depth (e.g. for small image sensors in smartphones)
Now the interesting parts:
Ok, so it's about vision transformers ... hmm ...
Ah, and it's fast also:
What the ...?
Dear Brainchip, please
Thanks for your attention
- download the model here: https://github.com/apple/ml-depth-pro?tab=readme-ov-file
- do a benchmark on all your akida 2.0 (ViT) configurations (if you haven't done so already)
- and if it works and results are good - please publish the results
Apple Researchers Release Depth Pro, a One-Shot Model for Sub-Second Depth Mapping on Any Image
Calculating an accurate depth map from a single 2D image in 0.3 seconds, Depth Pro is impressive — and on GitHub now.www.hackster.io
Edit - some addition
P.S.:
If this actually also works reliably for video, please consider adding companies/solutions related to the film and VFX hardware/software industry to your list of potential use-cases. Just for inspiration, imagine filming and keying (by depths-data) in real-time without green-screens (even if only used for pre-visualization).
what’s this all about. It seems we are apart of discussions with them 
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FJ-215
Regular
A solution to the tablecloth conundrum I see.
cosors
👀
"Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning
The 2024 Nobel Prize in Physics was given to John Hopfield and Geoffrey Hinton for development of techniques that laid the foundation for revolutionary advances in artificial intelligence.
...
The 2024 Nobel Prize in Physics was awarded on Tuesday to U.S. scientist John Hopfield and British-Canadian scientist Geoffrey Hinton, each of whom used the tools of physics to develop artificial neural networks that laid the foundations for many of today’s most advanced artificial intelligence applications.
...
Machine-learning models can learn intricate interdependencies from data, make predictions on the ideal composition of materials for a given functionality and even discover as-yet-unknown governing equations in complex systems. Machine learning is poised to make great contributions to physics."
www.scientificamerican.com
The 2024 Nobel Prize in Physics was given to John Hopfield and Geoffrey Hinton for development of techniques that laid the foundation for revolutionary advances in artificial intelligence.
...
The 2024 Nobel Prize in Physics was awarded on Tuesday to U.S. scientist John Hopfield and British-Canadian scientist Geoffrey Hinton, each of whom used the tools of physics to develop artificial neural networks that laid the foundations for many of today’s most advanced artificial intelligence applications.
...
Machine-learning models can learn intricate interdependencies from data, make predictions on the ideal composition of materials for a given functionality and even discover as-yet-unknown governing equations in complex systems. Machine learning is poised to make great contributions to physics."
Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning
The 2024 Nobel Prize in Physics was given to John Hopfield and Geoffrey Hinton for development of techniques that laid the foundation for revolutionary advances in artificial intelligence
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Interesting likes on Rudy's recent post, here's two of them
www.linkedin.com
www.nature.com
www.nature.com
Rudy Pei on LinkedIn: AI is a branch of computational statistical physics 😉 And perfect…
AI is a branch of computational statistical physics 😉 And perfect opportunity to do some shameless marketing on some of my PhD works not following the "canon"…
Mode-assisted unsupervised learning of restricted Boltzmann machines - Communications Physics
While widely adopted, contrastive divergence methods for Restricted Boltzmann Machines typically result in poor representations of the data distribution. Here, the authors propose an unsupervised training where gradient-descent is combined with the Machine’s mode samples, significantly improving...
Efficient solution of Boolean satisfiability problems with digital memcomputing - Scientific Reports
Boolean satisfiability is a propositional logic problem of interest in multiple fields, e.g., physics, mathematics, and computer science. Beyond a field of research, instances of the SAT problem, as it is known, require efficient solution methods in a variety of applications. It is the decision...
Attachments
Edge Impulse on LinkedIn: Great product, gorgeous booth, incredible partners, and a stellar team…
Great product, gorgeous booth, incredible partners, and a stellar team — our setup at embedded world Exhibition&Conference North America is abuzz with…
DingoBorat
Slim
If you are talking about BCHPY to BRHCF, BCHPY is an ADR (American Depositary Receipt) worth 40 BRN shares.
DingoBorat
Slim
The Hang Seng is down almost 10% in the last trading session, but this "shouldn't" affect other markets too much, as they've had an "unnatural" rise over the last 6 months and this looks like a correction..
Compared to the Dow, last 6 months..
Compared to the Dow, last 6 months..
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Boab
I wish I could paint like Vincent
Probably sold out to invest in the Shanghai which has had a huge gain after the "Bazooka" stimulus package was announced.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Brilliant
The work with the University of Waterloo complements a series of existing Mercedes‑Benz research collaborations on neuromorphic computing. One focus is on neuromorphic end-to-end learning for autonomous driving. To realize the full potential of neuromorphic computing, Mercedes‑Benz is building up a network of universities and research partnerships. The company is, for example, consortium leader in the NAOMI4Radar project funded by the German Federal Ministry for Economic Affairs and Climate Action. Here, the company is working with partners to assess how neuromorphic computing can be used to optimize the processing of radar data in automated driving systems. In addition, Mercedes‑Benz has been cooperating with Karlsruhe University of Applied Sciences. This work centres on neuromorphic cameras, also known as event-based cameras.
View attachment 70549
October 8, 2024 – Stuttgart/Toronto
Mercedes-Benz is partnering with the Ontario Vehicle Innovation Network (OVIN), the Government of Ontario's flagship initiative for the automotive and mobility sector. The purpose is to expand startup creation and scouting activities in North America and to promote the commercialization of automotive innovation. The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases. Selected projects will also benefit from the international Mercedes-Benz STARTUP AUTOBAHN network. Separately, the company intends to start a research collaboration with the University of Waterloo, Ontario with a focus on neuromorphic computing for automated driving applications. The move complements a range of ongoing Mercedes-Benz R&D activities in Canada.
- Mercedes-Benz and the Ontario government, through the Ontario Vehicle Innovation Network (OVIN), establish incubators to foster startup creation, startup scouting and automotive innovation in Ontario, Canada
- OVIN Incubators join growing international Mercedes-Benz STARTUP AUTOBAHN network
- Initiative aims to drive transfer to industrialization, leveraging the region's strong foundation in advanced automotive technology and smart mobility
- Research collaboration with University of Waterloo complements existing academic research into neuromorphic computing
"Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world. We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies."The academic research collaboration and participation in the OVIN Incubators Program are the latest in a series of initiatives underpinned by the company's Memorandum of Understanding (MoU) with the government of Canada, signed in 2022. The aim of the MoU is to strengthen cooperation across the electric vehicle value chain. Through the partnership with the Ontario government through OVIN, Mercedes-Benz is accelerating and expanding its presence by tapping into Ontario's international acclaim as a centre for tech development, recognizing the province's significance for Mercedes-Benz's global innovation network.
Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group AG, Chief Technology Officer, Development & Procurement
Open innovation draws in ideas, inspiration and technologies from a wide variety of external sources and partners. This approach is a long-established part of Mercedes-Benz R&D strategy, enriching and complementing the company's internal R&D work worldwide.
"This new partnership between the Ontario Vehicle Innovation Network (OVIN) and Mercedes‑Benz is going to be a significant boost for our province's automotive and mobility sectors. By bringing together the best of industry, research, and entrepreneurial talent, we're fostering innovation that will strengthen our economy, create good jobs and position Ontario as a leader in the auto and electric vehicle technologies of the future."Mercedes-Benz partners in OVIN Incubators to accelerate startup scouting and support commercialization
Doug Ford, Premier of Ontario
"Ontario continues to build its reputation as a world leader in manufacturing the cars of the future, with $44 billion in new investments by automakers, EV battery manufacturers and parts suppliers coming into the province over the last four years. The launch of OVIN Incubators represents another link in our growing end-to-end, fully integrated, EV supply chain. With a new platform for our world-class tech ecosystem to develop homegrown mobility innovations, Ontario talent will continue to be on the forefront of creating the technologies that will power vehicles all over the world through the Mercedes-Benz STARTUP AUTOBAHN network."
Vic Fedeli, Ontario Minister of Economic Development, Job Creation and Trade
"As Ontario sets its sights on the next decade of growth of its automotive and mobility sector, it is vital that we continue to foster the talent, technical expertise and capacity for innovation to achieve this future. The OVIN Incubators build a robust foundation for nurturing the next generation of innovators by providing a clear pathway from research and development to commercialization and industrialization, in partnership with Ontario's leading postsecondary institutions and major industry players. This platform will further cement the foundation for sustainable economic growth within the sector and beyond, across the entire province."
Raed Kadri, Head of OVIN
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalyzed. Together, OVIN and Mercedes‑Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes‑Benz use cases. The OVIN Incubators join a growing international network of regional programmes benefitting from the Mercedes‑Benz STARTUP AUTOBAHN platform for open innovation. This globally networked and locally executed approach seeks to maximize the pool of ideas, innovations and technologies that can flow into future Mercedes‑Benz products. Looking to the future, the next phase of the OVIN Incubators will seek to expand its scope through the addition of further partners from industry and academia.
Collaboration with the University of Waterloo to help seed, grow and harvest research in the field of neuromorphic computing
Mercedes-Benz and the University of Waterloo have signed a Memorandum of Understanding to collaborate on research led by Prof. Chris Eliasmith in the field of neuromorphic computing. The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy efficient. While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
"Industry collaboration is at the heart of our success as Canada's largest engineering school. We recognize that research partnerships with companies such as Mercedes-Benz bring opportunities to directly apply and test our work, while introducing our students to the highest standards in industry."The work with the University of Waterloo complements a series of existing Mercedes‑Benz research collaborations on neuromorphic computing. One focus is on neuromorphic end-to-end learning for autonomous driving. To realize the full potential of neuromorphic computing, Mercedes‑Benz is building up a network of universities and research partnerships. The company is, for example, consortium leader in the NAOMI4Radar project funded by the German Federal Ministry for Economic Affairs and Climate Action. Here, the company is working with partners to assess how neuromorphic computing can be used to optimize the processing of radar data in automated driving systems. In addition, Mercedes‑Benz has been cooperating with Karlsruhe University of Applied Sciences. This work centres on neuromorphic cameras, also known as event-based cameras.
Mary Wells, Dean, Faculty of Engineering at the University of Waterloo
# # #
About the Ontario Vehicle Innovation Network OVIN
OVIN is an initiative of the Government of Ontario, led by the Ontario Centre of Innovation (OCI), designed to reinforce Ontario's position as a North American leader in automotive and mobility technology and solutions such as connected vehicles, autonomous vehicles, and electric and low-carbon vehicle technologies. Through resources such as research and development (R&D) support, talent and skills development, technology acceleration, business and technical supports, and demonstration grounds, OVIN provides a competitive advantage to Ontario-made automotive and mobility technology companies.
About STARTUP AUTOBAHN
STARTUP AUTOBAHN is an open innovation platform for startups in the field of mobility. The innovation driver was founded in 2016 by Mercedes‑Benz, formerly Daimler, in cooperation with the innovation platform Plug and Play, the research factory ARENA2036 and the University of Stuttgart. This has resulted in an entire innovation network around the globe - with programmes in the United States, China, India, South Korea and now also in Canada. Since its foundation, a growing number of industrial partners and startups from all over the world have benefited from the STARTUP AUTOBAHN. Several technologies from the network have already been integrated into Mercedes-Benz series-production vehicles.
Thanks for posting @Tothemoon24!
Couldn't help but notice this part of the article!
Prof. Chris Eliasmith has published numerous research papers on neuromorphic computing, a few of which I posted below.
And here's the cool part.
DingoBorat
Slim
View attachment 70348 View attachment 70349
Vasyl Chumachenko, PhD on LinkedIn: #akida #neuromorphicchip #research #development #projectreview #ai #ml…
Akida neuromorphic chips – my honest opinion after finishing an R&D project focused on this technology 🧬 Our AI Consulting team at Data Science UA is proud…
Data Science UA on LinkedIn: #neuromorphic #ml #brainchipakida #research #development #futuretech…
Explore the results of our latest R&D project - here's how #neuromorphic chips can change the #ML landscape 👩💻 Recently, the R&D team of Data Science UA…
buena suerte :-)
BOB Bank of Brainchip
Bennysmadness
Regular
I feel a short squeeze coming on, 38c today. Hold on to your gems 
️
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DingoBorat
Slim
I think maybe you're "mad" BennyI feel a short squeeze coming on, 38c today. Hold on to your gems
..There won't be a short squeeze, without significant news and stronger demand than what we have now..
But that's just my seat of the pants opinion..
I know mine will remain clean and fresh though, regardless.
buena suerte :-)
BOB Bank of Brainchip
I know it's not much to go on with MStar...But would be nice to see these levels again!...... Soon!!....I think maybe you're "mad" Benny
There won't be a short squeeze, without significant news and stronger demand than what we have now..
But that's just my seat of the pants opinion..
I know mine will remain clean and fresh though, regardless.
Pom down under
Top 20
Something fishy going on with 30 million stacked on the buy side
Fishy smell? Seems like someone had a crazy night ha? Always look at the bright side
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Pom down under
Top 20
I think the dam could be about to breakFishy smell? Seems like someone had a crazy night ha? Always look at the bright side
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