I think listing Intel by association previously included ABR. Intel previously had a partnership where ABR supplied a software emulation tool for Loihi (this was not for their latest technology) . Back then IBM and Intel were the biggest competitors because they had large funds, full distribution platforms and voice with other company. I think they still are the strongest commercial competitors.
allensthoughts.com
brainchip.com
I think listing Intel by association previously included ABR. Intel previously had a partnership where ABR supplied a software emulation tool for Loihi (this was not for their latest technology) . Back then IBM and Intel were the biggest competitors because they had large funds, full distribution platforms and voice with other company. I think they still are the strongest commercial competitors.
Ever since ABR announced their LMU technology a few years ago, I thought they were one of the strongest technology competitors, so have been checking on them occasionally. This was further emphasised when BRN indicated their cutting edge TENNs technology was based on Legendre / Chebyshev polynomials (same as what ABR's LMU is based on). The LMU was proposed in a research article by ABR personnel about 3 years before TENNs.
At the moment I would guess they are still behind by at least two years, for the following reasons:
-Their TSP1 chip which integrates their LMU technology was only released September last year. They are more new to the chip development process and haven't had as much time to iron out the practical issues. Their chip includes a CPU, which makes it less flexible or convenient for manufacturers wanting custom or cheaper alternative solutions. In constrast, BRN released AKD 2.0 IP 18 months earlier. If ABR were to release an IP solution next month that would put it 2 years behind BRN, though probably more as AKD 2.0 was designed with customer feedback and likely for specific customer applications.
-Brainchip have broader support for other model architectures
-The software is likely to be more developed under BRN and more tailored for customer applications due to the partnerships they've had for so long.
-ABR only sell chips, whereas Brainchip sell IP. Contrary to some other opinions on here, I still think this is the right decision. With AKD1000 BRN have been dealing with a partially crowded market for applications where analog chips can be good enough and cheaper (several analog chip competitor videos explain this well). ABR will have this same issue. The exception here is for markets like rad-hard required applications, where BRN are the clear winner right now.
-IP is critical to high volume uptake. In general, all the big tech companies are creating their own chips, so they can build in the right balance for AI applications. I think this will extend to the edge as well based on different product ranges companies may consider building. Particularly for markets like wearables with tiny form factors, the ability to scale next-gen devices to lower process nodes (eg 3nm) when the cost is right will be an easy way to obtain performance increases.
-ABR are part VC backed, which risks prioritising short term profits over long term strategic moves.
-I don't think their partnerships are as extensively developed, which will slow down uptake.
-Their tool-chain allows customers to deploy solutions in weeks. BRN can do that much quicker (hours from memory) due to partnerships with Edge Impulse and the like.
Note that Mercedes-Benz are doing some collaboration with the University of Waterloo based on research done by Chris Eliasmith (CTO of ABR). However, this seems to be in the broader scheme of university research partners on neuromorphic computing for ADAS purposes. While this may give them a foot in the door, I doubt it's enough to push out a well established neuromorphic partner like BRN. This UoW MoU focuses on algorithm development, and AKD is capable of running many algorithms. It will still benefit ABR though given they will get practical learnings out of it too.
I think the bigger risk would be ABR getting bought out by a giant like Intel or IBM (VC short ter kmm win) which could allow the technology to be scaled up at a faster rate and into their existing distribution channels.
2019 article on ABR's old technology partnership:Building a brain | Waterloo News
Chris Eliasmith Professor, Faculty of Arts and Faculty of Engineering > Co-Founder, Applied Brain Research inc. > Director, Centre for Theoretical Neuroscience The notion that robots could possess something akin to a human brain seems like science fiction. But not for Chris Eliasmith who has...uwaterloo.ca
The company has entered into a partnership with Intel to put its software on the new Intel neuromorphic processor called Loihi. Several artificial intelligence applications, including a keyword speech recognition app and a robotic controller, were demonstrated at the Ontario Centres of Excellence Discovery conference last year. “We hope that every chip that goes out there with our partner Intel will have a little bit of ABR on it,” Suma says.
[LMU proposal December 2019]
Sep 2024 [talking about the ABR LMU integrated chip]World's First Single-Chip Solution For Speech Recognition
The single-chip system advances real-time speech recognition, combining AI with reduced power use for edge device integration.www.electronicsforu.com
TSP1 is a single-chip solution for time series inference tasks such as real-time speech recognition (including keyword spotting), text-to-speech synthesis, natural language control interfaces, and sensor fusion applications. The TSP1 combines a neural processing fabric, CPU, sensor interfaces, and on-chip NVM, providing an integrated solution.
[Jan 2025]Portfolio Highlight: ABR
The future of AI is at the edge, where real-time, efficient, and privacy-focused processing unlocks transformative potential. Applied Brain Research (ABR), one of our investments, is revolutionizin…
This is further turbocharged by ABR’s AI toolchain, which enables customers to deploy solutions in weeks instead of months.
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.Mercedes-Benz expands open innovation activities in Canada alongside research in neuromorphic computing. | Mercedes-Benz Group
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. The OVIN Incubators will join the growing international Mercedes-Benz STARTUP AUTOBAHN...group.mercedes-benz.com
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 optimise 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.
March 6, 2023BrainChip Introduces Second-Generation Akida Platform
Explore the advanced features and enhanced performance of this cutting-edge platform, empowering efficient and accelerated AI processing.
The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions
Hi IDD,I think listing Intel by association previously included ABR. Intel previously had a partnership where ABR supplied a software emulation tool for Loihi (this was not for their latest technology) . Back then IBM and Intel were the biggest competitors because they had large funds, full distribution platforms and voice with other company. I think they still are the strongest commercial competitors.
Ever since ABR announced their LMU technology a few years ago, I thought they were one of the strongest technology competitors, so have been checking on them occasionally. This was further emphasised when BRN indicated their cutting edge TENNs technology was based on Legendre / Chebyshev polynomials (same as what ABR's LMU is based on). The LMU was proposed in a research article by ABR personnel about 3 years before TENNs.
At the moment I would guess they are still behind by at least two years, for the following reasons:
-Their TSP1 chip which integrates their LMU technology was only released September last year. They are more new to the chip development process and haven't had as much time to iron out the practical issues. Their chip includes a CPU, which makes it less flexible or convenient for manufacturers wanting custom or cheaper alternative solutions. In constrast, BRN released AKD 2.0 IP 18 months earlier. If ABR were to release an IP solution next month that would put it 2 years behind BRN, though probably more as AKD 2.0 was designed with customer feedback and likely for specific customer applications.
-Brainchip have broader support for other model architectures
-The software is likely to be more developed under BRN and more tailored for customer applications due to the partnerships they've had for so long.
-ABR only sell chips, whereas Brainchip sell IP. Contrary to some other opinions on here, I still think this is the right decision. With AKD1000 BRN have been dealing with a partially crowded market for applications where analog chips can be good enough and cheaper (several analog chip competitor videos explain this well). ABR will have this same issue. The exception here is for markets like rad-hard required applications, where BRN are the clear winner right now.
-IP is critical to high volume uptake. In general, all the big tech companies are creating their own chips, so they can build in the right balance for AI applications. I think this will extend to the edge as well based on different product ranges companies may consider building. Particularly for markets like wearables with tiny form factors, the ability to scale next-gen devices to lower process nodes (eg 3nm) when the cost is right will be an easy way to obtain performance increases.
-ABR are part VC backed, which risks prioritising short term profits over long term strategic moves.
-I don't think their partnerships are as extensively developed, which will slow down uptake.
-Their tool-chain allows customers to deploy solutions in weeks. BRN can do that much quicker (hours from memory) due to partnerships with Edge Impulse and the like.
Note that Mercedes-Benz are doing some collaboration with the University of Waterloo based on research done by Chris Eliasmith (CTO of ABR). However, this seems to be in the broader scheme of university research partners on neuromorphic computing for ADAS purposes. While this may give them a foot in the door, I doubt it's enough to push out a well established neuromorphic partner like BRN. This UoW MoU focuses on algorithm development, and AKD is capable of running many algorithms. It will still benefit ABR though given they will get practical learnings out of it too.
I think the bigger risk would be ABR getting bought out by a giant like Intel or IBM (VC short term win) which could allow the technology to be scaled up at a faster rate and into their existing distribution channels.
2019 article on ABR's old technology partnership:Building a brain | Waterloo News
Chris Eliasmith Professor, Faculty of Arts and Faculty of Engineering > Co-Founder, Applied Brain Research inc. > Director, Centre for Theoretical Neuroscience The notion that robots could possess something akin to a human brain seems like science fiction. But not for Chris Eliasmith who has...
The company has entered into a partnership with Intel to put its software on the new Intel neuromorphic processor called Loihi. Several artificial intelligence applications, including a keyword speech recognition app and a robotic controller, were demonstrated at the Ontario Centres of Excellence Discovery conference last year. “We hope that every chip that goes out there with our partner Intel will have a little bit of ABR on it,” Suma says.
[LMU proposal December 2019]
Sep 2024 [talking about the ABR LMU integrated chip]World's First Single-Chip Solution For Speech Recognition
The single-chip system advances real-time speech recognition, combining AI with reduced power use for edge device integration.
TSP1 is a single-chip solution for time series inference tasks such as real-time speech recognition (including keyword spotting), text-to-speech synthesis, natural language control interfaces, and sensor fusion applications. The TSP1 combines a neural processing fabric, CPU, sensor interfaces, and on-chip NVM, providing an integrated solution.
[Jan 2025]Portfolio Highlight: ABR
The future of AI is at the edge, where real-time, efficient, and privacy-focused processing unlocks transformative potential. Applied Brain Research (ABR), one of our investments, is revolutionizin…
This is further turbocharged by ABR’s AI toolchain, which enables customers to deploy solutions in weeks instead of months.
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.Mercedes-Benz expands open innovation activities in Canada alongside research in neuromorphic computing. | Mercedes-Benz Group
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. The OVIN Incubators will join the growing international Mercedes-Benz STARTUP AUTOBAHN...
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 optimise 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.
March 6, 2023BrainChip Introduces Second-Generation Akida Platform
Explore the advanced features and enhanced performance of this cutting-edge platform, empowering efficient and accelerated AI processing.
The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions
Are you quoting FF or signing off as him? I am confused. Lol
That’s a great find FMF
Cut paste you familiar with it
I just came across an interesting article which explains very well the importance of Nintendo now using Hall-effect joysticks for their upcoming Switch 2:
And yet RTX hasn't signed their subcontractor agreement to make a start on trialling akida, even though AFRL will pay them to give it a go. Have they lost it?This article was posted online 11 hours ago .
I believe BrainChip is at the intersection of AI and space technology at exactly the right point in time. Especially if satellites are equipped with neuromorphic vision sensors and neuromorphic processors (ie. AKIDA) for real-time detection, tracking, and interception of the proposed US Iron Dome defense system.
As rocket scientist Ari Sacher states ""If you can solve that problem in outer space, then you can use it on the ground for a whole bunch of other control problems; controlling fires, controlling electric grids, controlling everything… That's the secret: control."
If you click onto the article linked below, you can check out the video with Ari Sachar's interview. At 3.21 mins in he says "I worked together with Raytheon. I was actually the manager of Raytheon from our company in a project called David's Sling. And Raytheon did a whole bunch of meaningful stuff. They designed the computer. They designed a whole bunch of other stuff. They have a tremendous cadre of scientists there. That was about 10 years ago. I don't beleive anything has changed. The Unites States has some amazing scientists and if the government decides to fund this to how much is necessary, then you guys are going to blow everything out of the water. I have absolutely no suspicion otherwise."
His company is Rafael Advanced Defense Systems which I posted about previously. Raytheon and Rafael Advanced Defense Systems have collaborated on multiple defense projects, particularly in missile and air defense systems.
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Published February 16, 2025 7:00am EST
US Iron Dome needs to be 'far more complex' to deal with 'near-peer threats,' expert says
By Agustin Hays FOXBusiness
US needs something 'far more complex' than Iron Dome, rocket scientist says
Rocket scientist Ari Sacher explains the capabilities of the Iron Dome missile defense system, why the U.S. needs something more complex and comments on the arms sale to Israel.
President Donald Trump is seeking to bolster the defense of the American homeland with a U.S.-style Iron Dome missile system. However, one expert believes that a system similar to Israel's is "not needed."
"So let me tell you at the outset, the president is using the term ‘Iron Dome’ as a metaphor," rocket scientist Ari Sacher said during an interview on FOX Business' "Mornings with Maria" Monday. "It's perfect for defending Israel from Gaza, Lebanon, it is not something that the United States needs very much."
In President Trump's first few weeks in office, he signed a slew of executive orders, with one focused on the construction of an American Iron Dome. The order addressed the need for the implementation of a next-generation missile defense shield to protect the homeland "against ballistic, hypersonic, advanced cruise missiles, and other next-generation aerial attacks," as well as to "further the goals of peace through strength."
5 THINGS TO KNOW ABOUT PRESIDENT DONALD TRUMP'S 'IRON DOME' PLAN FOR AMERICA
Sacher explained that when it comes to missile defense, the U.S. needs a more extensive system than Israel's to grapple with distant adversaries.
Rocket scientist Ari Sacher says an American Iron Dome should be different from Israel's system. (Getty Images)
"To defend the U.S. homeland, as the president wants to do, you need something completely different," he said. "You're defending against rockets not launched from Canada or Mexico… you're defending against rockets that are launched from North Korea, from China, from Russia, potentially, and you need something far more complex than [an] Iron Dome to shoot it down."
The rocket scientist, who has expertise in missile defense, further detailed how the system could look under President Trump.
"What the president is looking at is something that probably would be called space-based intercept. You bring up a whole bunch of interceptors into outer space, and the whole intercept will take place in outer space. So if you want to call it ‘Iron Dome’ or you want to call it ‘Fred,’ doesn't make a difference, it's not [an] Iron Dome."
Stuart Varney: Trump's 'Iron Dome' dream provoked a typical media response
'Varney & Co.' host Stuart Varney discusses President Donald Trump's plan for an American 'Iron Dome.'
However achieved, Sacher believes that the American Iron Dome's chances of success are "excellent," and that "the U.S. has a tremendous amount of engineers and gumption." The expert also pointed out the threats that U.S. missile defense could address with the more complex shield compared to that of the Israeli system.
"We're talking about Korea and points west, China's even farther. That's the threats America has to look at, our near-peer threats."
He continued, comparing those threats to those of the Middle East.
"Things like Gaza and Hezbollah, that's just too small," he said. "That's a minor league United States of America."
Sacher also revealed the key challenge when it comes to missile defense systems.
Trump’s ‘Iron Dome’ plan is being ‘overlooked’ by the media, expert says
8VC managing partner Joe Lonsdale joins ‘Mornings with Maria’ to provide analysis of President Donald Trump’s eye-opening plan to build an American ‘Iron Dome.’
"There's a whole new slew of technologies that are needed to do this sort of thing. [The] most difficult one is, believe it or not, not the interceptor, it's not the launcher. The most difficult thing is [not even] getting it into outer space. The most difficult thing is controlling everything," he stressed.
He broke down the different elements one needs to be aware of while operating the Iron Dome.
"It's understanding what we call sky picture," Sacher stressed. "You got to know when you're shooting an Iron Dome. You got to know who's firing on you, how many, which is a good guy, which is a bad guy. 'What's that 777 landing at the airport? Can't shoot that down.' Imagine doing all of that in outer space. And there's so much more to take care of and there's so much more that could go wrong, and you have to take account of all these things."
Israel's Iron Dome is not 100%, must get better with drones: Yuval Steinitz
Former Israel finance minister Yuval Steinitz discusses the technology behind the Iron Dome system as Hamas missile attacks continue on 'Cavuto: Coast to Coast.'
Emphasizing the importance of control, Sacher said that once the situation is resolved in space, the system can be applied for use on Earth.
"If you can solve that problem in outer space, then you can use it on the ground for a whole bunch of other control problems; controlling fires, controlling electric grids, controlling everything… That's the secret: control."
US Iron Dome needs to be 'far more complex' to deal with 'near-peer threats,' expert says
Rocket scientist Ari Sacher explains how an American Iron Dome missile shield needs to be different and more complex than Israel's system, with a focus on "control."www.foxbusiness.com
