Hi @Diogenese is this what you were referring to as Mercedes and Valeo might be using Akida 2.0?
BRN Discussion Ongoing
- Thread starter TechGirl
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Yes.
Both have disclosed that they are using software to process sensor signals. I'm certain both have had access to Akida 2/TeNNs simulation software since the patent application was filed over 2 years ago.
Understandably, they would be reluctant to commit to silicon while the tech is so new and in a state of ongoing development. Software provides a way for new developments to be added without needing a soldering iron. My hope is that, longer term when the development plateaus, we may see Akida SoC IP integrated into the Nvidia drive processor silicon, and, if that door opens ...
On top of that, Sean recently disclosed that we had a new product line, algorithms, in addition to IP.
On the lighter side, some months ago there was MB's Magnus Ostberg's "Stay tuned" Linkedin response to my question about whether they were using NN software on the water-cooled processor of the CLA concept vehicle, ... and now Valeo are advising everyone to "Stay tuned" in relation to the SDV.
Of course, as the more sober commentators here will tell you, I could be wrong ...
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Fuck i love it when you speculate dio
Tata Elxsi on LinkedIn: Biswajit Biswas
🚀 Join Biswajit Biswas, Chief Data Scientist at Tata Elxsi, at Cypher 2024 in Bangalore! Discover how Generative AI is revolutionizing the manufacturing…
Biswajit Biswas
Chief Data Scientist and General Manager in Tata Elxsi driving the innovation in Artificial Intelligence, Leading the charge at Tata Elxsi for AI, GenAI and Quantum computing. Driving a high performance team developing AI powered autonomous systems, deep learning and […]
eu1.hubs.ly
Tothemoon24
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Microsoft Research Suggests Energy-Efficient Time-Series Forecasting with Spiking Neural Networks
ByTanya Malhotra
-
September 6, 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks - Microsoft Research
Spiking neural networks (SNNs), inspired by the spiking behavior of biological neurons, provide a unique pathway for capturing the intricacies of temporal data. However, applying SNNs to time-series forecasting is challenging due to difficulties in effective temporal alignment, complexities in...
www.microsoft.com
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Spiking Neural Networks (SNNs), a family of artificial neural networks that mimic the spiking behavior of biological neurons, have been in discussion in recent times. These networks provide a fresh method for working with temporal data, identifying the complex relationships and patterns seen in sequences. Though they have great potential, using SNNs for time-series forecasting comes with a special set of difficulties that have prevented their widespread use.
In a variety of industries, including supply chain management, healthcare, finance, and climate modeling, time-series forecasting is essential. For this, traditional neural networks have been employed extensively, but they frequently fail to fully capture the temporal complexity of the data. SNNs offer a more effective means of processing temporal information because of their biologically inspired mechanisms. However, in order to realize their full potential, a number of issues need to be resolved, which are as follows.
- Efficient Temporal Alignment: One of the main obstacles to using SNNs for time-series forecasting is the intricacy of properly aligning temporal data. Because SNNs depend on exact spike timing, incoming data must be carefully aligned with the network’s temporal dynamics. Achieving this alignment can be challenging, particularly when dealing with irregular or noisy data, but it is essential for accurately modeling temporal connections.
- Difficulties in Encoding Procedures: Converting time-series data into an encoding format that works with SNNs is a very difficult task. SNNs operate with discrete spikes, in contrast to standard neural networks, which normally handle continuous inputs. Time-series data conversion into spikes that retain important temporal information is a challenging operation requiring advanced encoding techniques.
- Lack of Standardised Recommendations: The absence of standardized recommendations for model selection and training adds to the complexity of applying SNNs to time-series forecasting. Trial and error is a common method used by researchers, although it can result in less-than-ideal models and inconsistent outcomes. The use of SNNs in real-world forecasting applications has been restricted due to the lack of a well-defined framework for building and training them.
The team ran several trials to assess how well their SNN-based techniques performed in comparison to different benchmarks. The outcomes showed that the suggested SNN approaches outperformed conventional time-series forecasting techniques by the same amount or better. These outcomes were attained with noticeably less energy usage, emphasizing one of the main benefits of SNNs.
The study examined the SNNs’ capacity to identify temporal connections in time-series data in addition to performance indicators. In order to evaluate how well the SNNs could simulate the complex dynamics of temporal sequences, the team carried out extensive analyses. The results showed that SNNs perform better than standard models at capturing subtle temporal patterns.
In conclusion, this study adds much to the growing body of knowledge on SNNs and provides insightful information about the advantages and disadvantages of using them for time-series forecasting. The suggested framework highlights the potential of biologically inspired methods in resolving challenging data issues and offers a path for creating more temporally aware forecasting models.
Dallas
Regular
Stefano Cadario on LinkedIn: #metaconnect
Finally this is public! Today at #MetaConnect, we announced Orion, a groundbreaking AR glasses prototype. Orion is the result of breakthrough innovations in…
Pom down under
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Yet another orchestrated pump and dump coming up I guessMore than +16% in Germany this morning. Who is playing with us again?
cosors
👀
"US proposes ban on smart cars with Chinese and Russian tech"
https://edition.cnn.com/2024/09/23/tech/us-car-software-ban-china-russia/index.html
It was explained on the radio where I first heard from ot that it would possibly not stop there, but that the EU, for example, would habitually follow their suit.
https://edition.cnn.com/2024/09/23/tech/us-car-software-ban-china-russia/index.html
It was explained on the radio where I first heard from ot that it would possibly not stop there, but that the EU, for example, would habitually follow their suit.
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SharesForBrekky
Regular
Not sure if already posted/discussed but an interesting article here about the U.S. Army Engineer Research and Development Center's very keen interest in exploring the wonderful world of neuromorphic computing:
"The driving force behind ITL’s research into this emerging technology is the U.S. military’s need to know more, sooner, to allow rapid, decisive action on the multi-domain battlefield. The battlespace has become characterized by highly distributed processing, heterogeneous and mobile assets with limited battery life, communications- dominated but restricted network capacity and operating with time-critical needs in a rapidly changing hostile environment. Distributed and low power edge processing is one of the essential technologies for maintaining overmatch in various emerging operational and contested environments, as is the need to take advantage of machine learning (ML) and generative artificial intelligence (AI)."
"Overall, edge computing is helping to enable new use cases and provide better experiences to the users by making applications faster, more reliable and more secure,” said Cheng. “Neuromorphic chips are well-suited for edge computing, which is becoming increasingly important in military and defense applications, and ITL is already aiding in this process that will touch everything from lowering the cost of deployments by eliminating the need for expensive, high-powered servers and data centers to support of mobile and autonomous systems. This is the future."
"The driving force behind ITL’s research into this emerging technology is the U.S. military’s need to know more, sooner, to allow rapid, decisive action on the multi-domain battlefield. The battlespace has become characterized by highly distributed processing, heterogeneous and mobile assets with limited battery life, communications- dominated but restricted network capacity and operating with time-critical needs in a rapidly changing hostile environment. Distributed and low power edge processing is one of the essential technologies for maintaining overmatch in various emerging operational and contested environments, as is the need to take advantage of machine learning (ML) and generative artificial intelligence (AI)."
"Overall, edge computing is helping to enable new use cases and provide better experiences to the users by making applications faster, more reliable and more secure,” said Cheng. “Neuromorphic chips are well-suited for edge computing, which is becoming increasingly important in military and defense applications, and ITL is already aiding in this process that will touch everything from lowering the cost of deployments by eliminating the need for expensive, high-powered servers and data centers to support of mobile and autonomous systems. This is the future."
Tothemoon24
Top 20
Food4 thought
Regular
I wonder why they do this ban
I am guessing so the USA don’t look stupid
Asia is way more advanced than the USA
cosors
👀
From a European perspective, there's nothing to be surprised about. So that they don't press the button and control what happens there. We Europeans know their blackmail methods, especially those of us in the graphite group. Downstream to protect the market, I think.
In Germany €205B of economic damage by cyber attacks is caused every year. China and Russia are responsible for 89% of this, almost equally. It's about control, strategically, economically and about expanding power/might (?). Or the EU ban of Huawei tec.)
They have chosen this path of the old blocs.
...there is a scene with EVs in the movie "Leave the World Behind"
I wish that Brainchip will act carefully with China. They won't pay anyway, but simply copy Akida as they copied nearly everything and later build by their own.
So I think that this approach by the USA could be positive for Brainchip. Just my gut feeling. Too high politics for me, a small citizen.
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Tothemoon24
Top 20
Looks to be some very interesting camera 
technology coming up at Vision 2024
Richmond, BC, Canada – August 22, 2024 – LUCID Vision Labs, Inc., a leading designer and manufacturer of industrial cameras, will showcase a range of new GigE Vision cameras and advanced sensing technologies at VISION 2024, which takes place from October 8–10, 2024, in Stuttgart, Germany.
LUCID is set to introduce the first member of its intelligent vision camera family, the Triton® Smart camera featuring Sony’s IMX501 intelligent vision sensor with AI processing. The Triton Smart is an easy-to-use, cost-effective intelligent vision camera capable of outputting inference results alongside regular 12.3 MP images for every frame. Its on-sensor AI processing reduces data bandwidth, alleviates processing load on the host PC, and minimizes latency.
Expanding the Triton2 – 2.5GigE camera family, LUCID will showcase two new models for advanced sensing applications. The Triton2 EVS event-based 2.5GigE camera, powered by Sony’s IMX636 or IMX637 vision sensor and our Arena® SDK as well as PROPHESEE’s Metavision® SDK, is designed to deliver enhanced performance, lower power consumption, and greater flexibility for machine vision applications. It is ideal for motion analysis, vibration monitoring, object tracking, optical flow, autonomous driving, and high-speed detection.
Additionally, the new Triton2 4K line scan camera, equipped with Gpixel’s GL3504 image sensor, will also be unveiled. Featuring 4096 (H) x 2 (V) at 3.5 μm pixels, this camera is ideal for high-speed, high-resolution imaging.
The Atlas10 camera – 10GigE camera family is welcoming a new high-resolution model featuring the 45-megapixel (8192 x 5460) onsemi XGS45000 CMOS global shutter image sensor, capable of running at 16 fps. This RDMA-enabled camera offers a unique combination of high resolution, high frame rate, and superior image quality, making it well-suited for applications such as flat panel inspection, aerial surveillance, mapping, and electronics inspection.
LUCID is also expanding its Helios®2 3D Time-of-Flight camera family with the introduction of the Helios2 Narrow Field-of-View (FoV)variant. This model integrates Sony’s DepthSense™ IMX556PLR back-illuminated ToF image sensor. It produces a tighter point cloud, and the narrower illumination area reduces the likelihood of multipath error, making it ideal for applications requiring precise 3D depth measurement in confined spaces.
As part of Industrial VISION Days 2024, organized by VDMA Machine Vision, LUCID’s Director of Product Management, Alexis Teissie, will present “The Benefits of RDMA for 10GigE Cameras and Beyond” on Wednesday, October 9th at 2:40 pm.
Stay tuned for additional product highlights to be unveiled on the show floor. Join LUCID at VISION 2024 from October 8–10, 2024, in Stuttgart, Germany at Booth 10E40.
technology coming up at Vision 2024LUCID to Unveil Latest GigE Vision Cameras and Advanced Sensing Technologies at VISION 2024
Richmond, BC, Canada – August 22, 2024 – LUCID Vision Labs, Inc., a leading designer and manufacturer of industrial cameras, will showcase a range of new GigE Vision cameras and advanced sensing technologies at VISION 2024, which takes place from October 8–10, 2024, in Stuttgart, Germany.
Stay tuned for additional product highlights to be unveiled on the show floor. Join LUCID at VISION 2024 from October 8–10, 2024, in Stuttgart, Germany at Booth 10E40.
Monkeymandan
Regular
Likes☝
Bravo
If ARM was an arm, BRN would be its biceps💪!
"Users will be able to interact with the glasses by hand-tracking, voice and wrist based NEURAL INTERFACE".
I set the video link to play at the above point.
View attachment 69928
"Users will be able to interact with the glasses by hand-tracking, voice and wrist based NEURAL INTERFACE".
I set the video link to play at the above point.
7für7
Top 20
If you ask me, we can happily stay isolated from the U.S. market for quite a while… they’re wired differently up there and change their minds as often as others change their underwear, if you get what I mean.
For example:
When things go up: “Yessss, pump it up… we’re all going to get rich…”
Five hours later, when it drops a little: “This stock is garbage… it’s nothing but a cheap fast-food joint… been in the red for years like catchup.”
The next day, when it goes up again: “I knew it! We’re in a bull market, let’s goooo!!!”
The day after, when it drops again: “I sold that junk… it’s going nowhere… everyone, short it.”
A few hours later, when it rises again: “Yessss, we’re back!!! Just secured 5000000000000 shares… it’s time! We’re going to the moon, baby!”
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