We should buy one for @Bravo's $5 party ...
BRN Discussion Ongoing
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DingoBorat
Slim
That's hard to say and depends on a lot of factors (even just for shits and giggles)..
Keeping it simple and supposing strong uptake, with solid deals and revenue.
2024 A$1.50 - A$2.50
2025 A$2.50 - A$4.50
2026 A$4 50 - A$7.00
At A$7.00 (assuming 1.8B SOI) that's a market cap of 12.6 Billion dollars and we've had a market cap of over 2 billion, on a Mercedes tweet.
So these figures, could well be conservative, but I would be happy of course to see them
Company's have reached much higher market caps, on hundreds of millions of revenue (although while still making a loss).
If BrainChip is making 100s of millions of dollars in revenue, it will be at a margin of over 80%, with our IP model, so in that case, a market cap of over 30 billion AUD is easily achievable (considering AfterPay reached a MC of 33 billion, with around 500 million revenue, but while still running at a 50 million loss, from memory).
Time frames to these kind of revenues, are what we just don't know.
Bravo
If ARM was an arm, BRN would be its biceps💪!
How could I possibly decline such a generous offer dear Dodgy Knees?
It sounds powerful enough that I could probably rig it up to the hot tub's operating system when we hit $5! Could be useful for clothing detection purposes!
Bravo
If ARM was an arm, BRN would be its biceps💪!
This would be an extremely good fit for us IMO. Could someone please get on the blower to Jensen Huang and let him know, if he doesn't already.
February 1, 2024·2 min read
Lockheed Martin is collaborating with Nvidia to build a prototype that uses AI to combine data and detect anomalies in current environmental conditions. The tool could be increasingly important as the National Oceanic and Atmospheric Administration (NOAA) last year reported record ocean surface temperatures
The company’s have been working together since 2022 to build a prototype of an AI-driven Earth and Space Observing Digital Twin that can process live streams of weather data, apply AI to analyze the data and display current global environmental conditions from satellite and ground-based observations and output from weather forecasting models.
The project recently reached a significant milestone, demonstrating sea surface temperatures, one of NOAA’s critical data pipelines, to highlight multi-sensor fusion from satellite and model data along with short term temperature anomalies.
Most Read from IEN:
The Earth and Space Observing Digital Twin hopes to provide NOAA with a centralized approach to fuse and visualize data from various space and earth sensors. The demo showed NOAA and other government customers the potential of using AI to display high-resolution, accurate, and timely depictions of satellites and sensor data.
The NOAA is sent terabytes of weather data from multiple space and Earth-based sensors daily, accurately fusing the information could support real-time representations of global conditions.
According to Lynn Montgomery, AI research engineer at Lockheed Martin, the platform could be a “one-stop-shop for global weather monitoring” and enable more accurate initial conditions for predictive forecasting.
The project uses Lockheed Martin’s OpenRosetta3D software and the NVIDIA Omniverse development platform to build applications that aggregate data in real time. The digital twin uses these technologies to advance 4D visualizations and display this information in a digestible format.
Next, Lockheed will feed additional data streams, like space weather and sea ice concentrations, into the Earth and Space Observing Digital Twin next year.
This project was funded by NOAA SAE Joint Venture Partnerships for the exploration of possibilities for a future state and not a mission itself.
finance.yahoo.com
Lockheed, NVIDIA Make AI-Powered Digital Twin to Predict the Weather
February 1, 2024·2 min read
Lockheed Martin is collaborating with Nvidia to build a prototype that uses AI to combine data and detect anomalies in current environmental conditions. The tool could be increasingly important as the National Oceanic and Atmospheric Administration (NOAA) last year reported record ocean surface temperatures
The company’s have been working together since 2022 to build a prototype of an AI-driven Earth and Space Observing Digital Twin that can process live streams of weather data, apply AI to analyze the data and display current global environmental conditions from satellite and ground-based observations and output from weather forecasting models.
The project recently reached a significant milestone, demonstrating sea surface temperatures, one of NOAA’s critical data pipelines, to highlight multi-sensor fusion from satellite and model data along with short term temperature anomalies.
Most Read from IEN:
The Earth and Space Observing Digital Twin hopes to provide NOAA with a centralized approach to fuse and visualize data from various space and earth sensors. The demo showed NOAA and other government customers the potential of using AI to display high-resolution, accurate, and timely depictions of satellites and sensor data.
The NOAA is sent terabytes of weather data from multiple space and Earth-based sensors daily, accurately fusing the information could support real-time representations of global conditions.
According to Lynn Montgomery, AI research engineer at Lockheed Martin, the platform could be a “one-stop-shop for global weather monitoring” and enable more accurate initial conditions for predictive forecasting.
The project uses Lockheed Martin’s OpenRosetta3D software and the NVIDIA Omniverse development platform to build applications that aggregate data in real time. The digital twin uses these technologies to advance 4D visualizations and display this information in a digestible format.
Next, Lockheed will feed additional data streams, like space weather and sea ice concentrations, into the Earth and Space Observing Digital Twin next year.
This project was funded by NOAA SAE Joint Venture Partnerships for the exploration of possibilities for a future state and not a mission itself.
Lockheed, NVIDIA Make AI-Powered Digital Twin to Predict the Weather
This platform could be a "one-stop-shop for global weather monitoring."
finance.yahoo.com
Smoothsailing
Regular
Brilliant ThankyouThat's hard to say and depends on a lot of factors (even just for shits and giggles)..
Keeping it simple and supposing strong uptake, with solid deals and revenue.
2024 A$1.50 - A$2.50
2025 A$2.50 - A$4.50
2026 A$4 50 - A$7.00
At A$7.00 (assuming 1.8B SOI) that's a market cap of 12.6 Billion dollars and we've had a market cap of over 2 billion, on a Mercedes tweet.
So these figures, could well be conservative, but I would be happy of course to see them
Company's have reached much higher market caps, on hundreds of millions of revenue (although while still making a loss).
If BrainChip is making 100s of millions of dollars in revenue, it will be at a margin of over 80%, with our IP model, so in that case, a market cap of over 30 billion AUD is easily achievable (considering AfterPay reached a MC of 33 billion, with around 500 million revenue, but while still running at a 50 million loss, from memory).
Time frames to these kind of revenues, are what we just don't know.
Peter Van Der Made once said "4 bits are enough".
View attachment 59370
NVIDIA Unveils Powerful Blackwell GPU Architecture For Next-Gen AI Workloads At GTC
NVIDIA CEO Jensen Huang opened GTC 2024 by announcing Blackwell, the most powerful AI chip ever made.hothardware.com
Find the missing EV manufacturer who uses Nvidia ...
"Next-gen AI Vehicle Partners
Car partners who’ve pledged their support to roll out next-gen AI vehicle fleets with Drive Thor are BYD, Hyper, XPENG, Li Auto and ZEEKR. Even commercial deployment vendors managing trucks, delivery vehicles, robotaxis and more are working on level 4 autonomous driving solutions with the NVIDIA Thor. These are Nuro, Plus, Waabi, and WeRide with Lenovo Vehicle Computing."
Bravo
If ARM was an arm, BRN would be its biceps💪!
No, I don't expect any of that. But my point was that this looks like a small science project at a USA science fair at Springfield elementary school. So I would rather that the company didn't post it on their socials. Let the dude have it on his LinkedIn. But again, just my feel, you're obviously happy with it, so good for you. My guess is I likely have about $300k more invested in BRN and would like to be sure I have invested it well. Currently I feel great about my investment, however ask me again after the qtrly.Just to make sure I'm not misunderstanding, you typically expect a huge event from a company that costs hundreds of thousands of dollars to showcase progress in their technology that they're still refining? But because we're a startup, you'll let it slide? (Besides, it's Edge Impulse with our Akida, but okay...)
And by the way in the next set of Quartals, you're probably going to be the first one to ask why we have -1.5 million in expenses.🫵
This would be an extremely good fit for us IMO. Could someone please get on the blower to Jensen Huang and let him know, if he doesn't already.
Lockheed, NVIDIA Make AI-Powered Digital Twin to Predict the Weather
February 1, 2024·2 min read
Lockheed Martin is collaborating with Nvidia to build a prototype that uses AI to combine data and detect anomalies in current environmental conditions. The tool could be increasingly important as the National Oceanic and Atmospheric Administration (NOAA) last year reported record ocean surface temperatures
The company’s have been working together since 2022 to build a prototype of an AI-driven Earth and Space Observing Digital Twin that can process live streams of weather data, apply AI to analyze the data and display current global environmental conditions from satellite and ground-based observations and output from weather forecasting models.
The project recently reached a significant milestone, demonstrating sea surface temperatures, one of NOAA’s critical data pipelines, to highlight multi-sensor fusion from satellite and model data along with short term temperature anomalies.
Most Read from IEN:
The Earth and Space Observing Digital Twin hopes to provide NOAA with a centralized approach to fuse and visualize data from various space and earth sensors. The demo showed NOAA and other government customers the potential of using AI to display high-resolution, accurate, and timely depictions of satellites and sensor data.
The NOAA is sent terabytes of weather data from multiple space and Earth-based sensors daily, accurately fusing the information could support real-time representations of global conditions.
According to Lynn Montgomery, AI research engineer at Lockheed Martin, the platform could be a “one-stop-shop for global weather monitoring” and enable more accurate initial conditions for predictive forecasting.
The project uses Lockheed Martin’s OpenRosetta3D software and the NVIDIA Omniverse development platform to build applications that aggregate data in real time. The digital twin uses these technologies to advance 4D visualizations and display this information in a digestible format.
Next, Lockheed will feed additional data streams, like space weather and sea ice concentrations, into the Earth and Space Observing Digital Twin next year.
This project was funded by NOAA SAE Joint Venture Partnerships for the exploration of possibilities for a future state and not a mission itself.
Lockheed, NVIDIA Make AI-Powered Digital Twin to Predict the Weather
This platform could be a "one-stop-shop for global weather monitoring."
Weather prediction will be simplified when they get Blackwell running - when it's on it's hot, when it's not, it's not.
You'll have to get a helicopter with floaties, 'cause you've put the pool in the helipad spot.
Smoothsailing
Regular
Bravo
If ARM was an arm, BRN would be its biceps💪!
jtardif999
Regular
Cheap is the only way to eventually proliferate. 54% of companies surveyed recently said they would have to incorporate AI to help their business grow by 2030 or be left behind. (Paraphrasing a story I read on Apple News a few days ago.) There is a greater proportion of companies that won’t be able to afford the expensive infrastructure changes to incorporate the AI we currently have and this includes edge technology. Selling cheaper, lower power tech to that proportion could be the most lucrative thing we could do. BRN has the top down approach selling IP to bigger companies that can then produce large quantities at scale, but through Edge Impulse and similar and the university programs imo are also tackling proliferation from the bottom up. I think the Edge Box and the Cup Cake server are examples of plug and play for a larger audience and the Edge Impulse projects then provide real world examples of use cases that in time will take hold. We’ve seen in the last couple of days a medical tech example detecting pneumonia and now the defect monitoring example. The more these kinds of examples are shown the more Akida will be thought of as a go to imo. It feels like we are getting much closer to that tipping point right now!
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Bravo
If ARM was an arm, BRN would be its biceps💪!
View attachment 57125
Tejas Kulkarni on LinkedIn: Sora | OpenAI
OpenAI's new video model is unbelievable - https://openai.com/sora Do we still think generative AI is not going to disrupt production workflows in image…www.linkedin.com
View attachment 57126
Fullmoonfever
Top 20
Seems their job ad legit then as same group it appears.View attachment 59401 View attachment 59402
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BRN Discussion Ongoing
This right here, is exactly why you will forever be considered the forum goon. 6 people even laughed at your intellect. I read the comment as being pro women. Meaning it was disrespectful to women on international women's day that the best MB could celebrate was a women could drive the (AKIDA)...
thestockexchange.com.au
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