BRN Discussion Ongoing
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FlipDollar
Never dog the boys
Fair play - I’ll delete my posts.
D
Deleted member 118
Guest
A nice mention for brainchip
Boab
I wish I could paint like Vincent
"The preference is for a prototype processor fabricated in a technology node suitable for the space environment, such as 22-nm FDSOI, which has become increasingly affordable"
A nice mention for brainchip
Timing is everything.
BrainChip Tapes Out AKD1500 Chip in GlobalFoundries 22nm FD SOI Process
Rise from the ashes
Regular
D
Deleted member 118
Guest
So is Nasa having current issues with neuromophic processors in SWaP missions?
State of the Art and Critical Gaps:
Neuromorphic and deep neural net software for point applications has become widespread and is state of the art. Integrated solutions that achieve space-relevant mission capabilities with high throughput and energy efficiency is a critical gap. For example, terrestrial neuromorphic processors such as Intels Cooporation's LoihiTM, Brainchip's AkidaTM, and Google Inc's Tensor Processing Unit (TPUTM) require full host processors for integration for their software development kit (SDK) that are power hungry or limit throughput. This by itself is inhibiting the use of neuromorphic processors for low SWaP space missions.
The system integration principles for integrated combinations of neuromorphic software is a critical gap that requires R&D, as well as the efficient mapping of integrated software to integrated avionics hardware. Challenges include translating the throughput and energy efficiency of neuromorphic processors from the component level to the system level, which means minimizing the utilization and processing done by supportive CPUs and GPUs.
State of the Art and Critical Gaps:
Neuromorphic and deep neural net software for point applications has become widespread and is state of the art. Integrated solutions that achieve space-relevant mission capabilities with high throughput and energy efficiency is a critical gap. For example, terrestrial neuromorphic processors such as Intels Cooporation's LoihiTM, Brainchip's AkidaTM, and Google Inc's Tensor Processing Unit (TPUTM) require full host processors for integration for their software development kit (SDK) that are power hungry or limit throughput. This by itself is inhibiting the use of neuromorphic processors for low SWaP space missions.
The system integration principles for integrated combinations of neuromorphic software is a critical gap that requires R&D, as well as the efficient mapping of integrated software to integrated avionics hardware. Challenges include translating the throughput and energy efficiency of neuromorphic processors from the component level to the system level, which means minimizing the utilization and processing done by supportive CPUs and GPUs.
D
Deleted member 118
Guest
Some sort of redundancy is likely to be needed. I wonder who?
The innovation, as compared to terrestrial processors, is to incorporate the mechanisms for fault tolerance in an edge processor capable of machine learning with high power efficiency. Some type of redundancy will likely be needed. The reference for Johann Schumann’s incorporation of triple modular redundancy for Loihi is one example mechanism that masks faults, but at the expense of an overall 3x reduction in power efficiency. In a neuromorphic context with stochasticity, innovations for more efficient fault tolerance techniques might be developed.
The innovation, as compared to terrestrial processors, is to incorporate the mechanisms for fault tolerance in an edge processor capable of machine learning with high power efficiency. Some type of redundancy will likely be needed. The reference for Johann Schumann’s incorporation of triple modular redundancy for Loihi is one example mechanism that masks faults, but at the expense of an overall 3x reduction in power efficiency. In a neuromorphic context with stochasticity, innovations for more efficient fault tolerance techniques might be developed.
Great find @Taproot!OK,
Deleted last three attempts.
We got the wrong guy !
It's this bloke
With more than 20 years experience of developing and applying emerging technologies to industry, Bhasker is a results-focused business leader with an in-depth understanding of deploying IoT, AI and Blockchain in the utilities and energy sector.
During his career, Bhasker has founded, led and advised companies focused on delivering innovative solutions to their customers, especially in the manufacturing sector. He brings a strong combination of technology, client relationship and commercial skills to any business challenge, plus a passion for innovation and creativity that has seen him develop five patents.
In his current role as CEO of Fortech Energy, he leads the development of enterprise automation and IoT solutions for the power, gas, water and manufacturing industry. Bhasker has a Physics degree from the Indian Institute of Technology in Bombay, plus a PhD in Electrical Engineering from the University at Buffalo in New York.
Here is link to Rob Telson post about Edge impulse official support for Brainchip
Bao Bhasker ( Spelt with an "e" ) responds with a congrats etc.
See Bhasker Rao, Ph.D’s activity on LinkedIn
Sign in or join now to see posts like this one and more.www.linkedin.com
Fortech Energy is part of the group of a number of Enzen companies. The reach of this group appears to be ridiculously crazy! The Minsky cube video ( can’t remember who posted, apologies) states it can be applied to ALL GAS, ALL OIL, ALL POWER, ALL WATER companies and their manufacturing operations! I’m blown away reading and listening to what is unfolding. Links to cybersecurity, drone and smart city applications… bring it on!
D
Deleted member 118
Guest
Didn't NASA prefer 28nm before now they seem to prefer 22nm
I suppose that's ok on the "No publicity is bad publicity" principle.
A nice mention for brainchip
" ... terrestrial neuromorphic processors such as Intels Cooporation's LoihiTM, Brainchip's AkidaTM, and Google Inc's Tensor Processing Unit (TPUTM) require full host processors for integration for their software development kit (SDK) that are power hungry or limit throughput. This by itself is inhibiting the use of neuromorphic processors for low SWaP space missions."
The redeeming feature is:
"The preference is for a prototype processor fabricated in a technology node suitable for the space environment, such as 22-nm FDSOI, which has become increasingly affordable."
So, suddenly, Global Foundries is about to make Akida 1500 in FD-SOI, without the encumbrance of a full host processor.
wilzy123
Founding Member
@FJ-215: "If they need the extra 10M of shares it will be because the 30M wasn't enough to meet our $15 M obligation."
The conditions for this capital call are clear as day (to some/most?)
The likelihood that BRN will hit their $15 target, with shares to spare (i.e. returned to BRN), is very probable (do you need me to calculate the VWAP since the call was made, or you got that?).
Yet, you have chosen to ignore all of this when called out....... ok then lol
Proga
Regular
I think this is BMW's second mistake. The first was using Qualcomm's Snapdragon and they knew it which I'd previously mentioned so decided to investigate SynSense.
The interesting paragraph (copied below) means BMW are years behind MB who already have built a vehicle which is running around being tested using (suspect) Akida in all their sensors + Valeo's gen3 Lidar. This will be the backbone of their L3-L4 autonomous driving system into the near to medium term future in every model starting off with the above AAM platform in the 2nd half of 2024.
"First, we'll explore non-safety-critical use cases, and we're planning future versions of Speck with higher resolution, as well as improvements to our DynapCNN vision processor, which will interface with high-resolution sensors," Muir said. We plan for these future technologies It will support advanced automotive applications such as autonomous driving, emergency braking, etc."
Nadel's comment brought joy. "The idea is to minimize the size and complexity of packets sent to AI accelerators, while reducing latency and minimizing power consumption. Each vehicle will likely have 70 Akida chips or sensors with Akida technology, each of which will be "low-cost parts that won't notice them at all," Nadel said. He noted that attention needs to be paid to the BOM of all these sensors.". Cha-ching
Great find @Tothemoon24 .
I was hoping if I scrolled down further @Diogenese you'd have made a comment to confirm my own thoughts. Your second effort was exactly what I was looking for so thanks mate.
Is this a case of maybe a " Leaky Ship " or just a genuine mistake.Wow. It doesn’t look like that is meant to be made public yet
FJ-215
Regular
Proga
Regular
With the conversation in the IT space now well and truly focussing on AI, the BRN SP really needs a commercial application to hit the market sooner rather than later to take advantage. There is still too many doubters thinking it is space fiction. If BRN does get caught up in the euphoria, expect a lot of volatility until a commercial application does hit the market. The below was in Bloomberg today (BRN not mentioned just some of the Tier 1's)
Photographer: SeongJoon Cho/Bloomberg
By
Bailey Lipschultz
5 February 2023 at 00:00 GMT+10
https://www.bloomberg.com/quote/MSFT:US
Stock rallies tied to the latest market craze may be a good investment or fears of missing out.
That debate, which hits on the theme of several boom-to-bust cycles in some corners of the market, has been reignited after artificial intelligence-linked companies saw their shares pop as tech giants like Microsoft Corp. announced big investments in the industry.
The frenzy conjures memories of the crypto and cannabis crazes and even the dot-com bubble in the late 1990s, where investors piled into stocks and asked questions later. After Friday’s close, a handful of firms added some $5.2 billion in market value despite announcements that look more like half-baked plans.
“It is total buyer-beware unless you know what you’re doing and have proper risk management,” said Matthew Tuttle, CEO of Tuttle Capital Management. “You can’t just go in and buy any company that says they’re in AI.”
Generative AI, a label used to describe artificial intelligence technology that can create things like art or text, and ChatGPT — the popular tool owned by OpenAI which Microsoft just invested $10 billion in — have been mentioned in more than 165 earnings calls and press releases this year so far, more than the number of mentions in all of 2022.
The citations come with good reason. The market for generative AI could be “exceedingly large,” easily “in excess of a trillion dollars,” according to UBS analysts led by Lloyd Walmsley. The potential windfall is enticing investors and underscores the fine line between trend-chasing companies hoping to make a quick return and those with goals to utilize a technological advancement to drive growth and make billions.
BuzzFeed Inc., a struggling media company, soared 307% in a two-day frenzy in January on veiled plans to utilize AI. Similarly, after touting its AI plans in a statement software company C3.ai Inc. shares more than doubled this year with $48 million in buying from retail traders, according to data from Vanda Research. Meanwhile, semiconductor maker Nvidia Corp., which has been touted by Wall Street analysts as a beneficiary of greater investment in AI, posted its best month in almost six years, its shares rallied 34% in January.
But investors should proceed with caution as some companies are already starting to falter. BuzzFeed shares have wiped out more than 40% of their value from an intraday high for the year last week and video game software maker Versus Systems Inc. is trading back under $1 a share after selling 2.5 million shares to capitalize on its rally.
For now, despite signs of speculative froth, AI has yet to reach the heights of the blockchain madness when companies like Long Island Iced Tea Corp. rebranded itself Long Blockchain Corp. to avoid delisting.
Tech heavyweights looking to use AI to grow revenue are likely the best places for investors to park their cash, according to Tuttle.
There’s certainly lots of opportunities out there. Meta Platforms Inc. Chief Executive Officer Mark Zuckerberg, for example, recently said one of his main goals is to be a leader in generative AI. Alphabet CEO Sundar Pichai already sees Google as a leader in developing AI, noting during the company’s earnings call this week that he spoke about Google being an AI-first company more than six years ago. While Snap Inc. CEO Evan Spiegel sees generative AI as a “huge opportunity that they’re “already investing a ton” in.
Read more: Microsoft, Meta Among Tech Giants Talking AI on Earnings Calls
The return of market liquidity as speculative corners of the investing world soar are another signal that investors should exercise caution, Tuttle says. Many of the riskiest corners of the stock market have rallied to start the year. Cathie Wood’s ARK Innovation ETF is up 37% and a basket of so-called meme stocks — a group completely detached from fundamentals — is 22% higher, while the world’s largest cryptocurrency based on market value Bitcoin is up roughly 40%.
“Financial conditions are loose and it’s the perfect environment for anything new and AI is the new kid on the block right now,” he said. “If you know what you’re doing, great, have at it. If you’re a FOMO person, stay away until this gets a little more settled.”
AI-Fueled Stock Rally Ignites Debate on Who’s Winning and Losing
- UBS says industry could be worth more than a trillion dollars
- Microsoft, Alphabet, other tech giants compete to be leaders
Photographer: SeongJoon Cho/Bloomberg
By
Bailey Lipschultz
5 February 2023 at 00:00 GMT+10
https://www.bloomberg.com/quote/MSFT:US
Stock rallies tied to the latest market craze may be a good investment or fears of missing out.
That debate, which hits on the theme of several boom-to-bust cycles in some corners of the market, has been reignited after artificial intelligence-linked companies saw their shares pop as tech giants like Microsoft Corp. announced big investments in the industry.
The frenzy conjures memories of the crypto and cannabis crazes and even the dot-com bubble in the late 1990s, where investors piled into stocks and asked questions later. After Friday’s close, a handful of firms added some $5.2 billion in market value despite announcements that look more like half-baked plans.
“It is total buyer-beware unless you know what you’re doing and have proper risk management,” said Matthew Tuttle, CEO of Tuttle Capital Management. “You can’t just go in and buy any company that says they’re in AI.”
Generative AI, a label used to describe artificial intelligence technology that can create things like art or text, and ChatGPT — the popular tool owned by OpenAI which Microsoft just invested $10 billion in — have been mentioned in more than 165 earnings calls and press releases this year so far, more than the number of mentions in all of 2022.
The citations come with good reason. The market for generative AI could be “exceedingly large,” easily “in excess of a trillion dollars,” according to UBS analysts led by Lloyd Walmsley. The potential windfall is enticing investors and underscores the fine line between trend-chasing companies hoping to make a quick return and those with goals to utilize a technological advancement to drive growth and make billions.
BuzzFeed Inc., a struggling media company, soared 307% in a two-day frenzy in January on veiled plans to utilize AI. Similarly, after touting its AI plans in a statement software company C3.ai Inc. shares more than doubled this year with $48 million in buying from retail traders, according to data from Vanda Research. Meanwhile, semiconductor maker Nvidia Corp., which has been touted by Wall Street analysts as a beneficiary of greater investment in AI, posted its best month in almost six years, its shares rallied 34% in January.
But investors should proceed with caution as some companies are already starting to falter. BuzzFeed shares have wiped out more than 40% of their value from an intraday high for the year last week and video game software maker Versus Systems Inc. is trading back under $1 a share after selling 2.5 million shares to capitalize on its rally.
For now, despite signs of speculative froth, AI has yet to reach the heights of the blockchain madness when companies like Long Island Iced Tea Corp. rebranded itself Long Blockchain Corp. to avoid delisting.
Tech heavyweights looking to use AI to grow revenue are likely the best places for investors to park their cash, according to Tuttle.
There’s certainly lots of opportunities out there. Meta Platforms Inc. Chief Executive Officer Mark Zuckerberg, for example, recently said one of his main goals is to be a leader in generative AI. Alphabet CEO Sundar Pichai already sees Google as a leader in developing AI, noting during the company’s earnings call this week that he spoke about Google being an AI-first company more than six years ago. While Snap Inc. CEO Evan Spiegel sees generative AI as a “huge opportunity that they’re “already investing a ton” in.
Read more: Microsoft, Meta Among Tech Giants Talking AI on Earnings Calls
The return of market liquidity as speculative corners of the investing world soar are another signal that investors should exercise caution, Tuttle says. Many of the riskiest corners of the stock market have rallied to start the year. Cathie Wood’s ARK Innovation ETF is up 37% and a basket of so-called meme stocks — a group completely detached from fundamentals — is 22% higher, while the world’s largest cryptocurrency based on market value Bitcoin is up roughly 40%.
“Financial conditions are loose and it’s the perfect environment for anything new and AI is the new kid on the block right now,” he said. “If you know what you’re doing, great, have at it. If you’re a FOMO person, stay away until this gets a little more settled.”
IMO ...... WELL DONE TONY D.
I presume, the Co will now need to do a ASX announcement before open of trade tomorrow ?? !!
But LTSH should spare a thought for those few shorter, that will be stressed out tomorrow morning when the ASX market opens. .... I'm only joking ... burn you buggers !!!!
Rise from the ashes
Regular
Well since it's not materia, no $$$$ involved no need for announcement.
On another note who's looking forward to the 15 minute city programs starting to roll out?
Vision for our future | Future Transport
30-minute cities, Fast Rail, stronger freight connections, advanced technology, and electric vehicles, and sustainable transport.
Last edited:
FJ-215
Regular
@FJ-215: "If they need the extra 10M of shares it will be because the 30M wasn't enough to meet our $15 M obligation."
The conditions for this capital call are clear as day (to some/most?)
The likelihood that BRN will hit their $15 target, with shares to spare (i.e. returned to BRN), is very probable (do you need me to calculate the VWAP since the call was made, or you got that?).
Yet, you have chosen to ignore all of this when called out....... ok then lol
I'm not the enemy champ.@FJ-215: "If they need the extra 10M of shares it will be because the 30M wasn't enough to meet our $15 M obligation."
The conditions for this capital call are clear as day (to some/most?)
The likelihood that BRN will hit their $15 target, with shares to spare (i.e. returned to BRN), is very probable (do you need me to calculate the VWAP since the call was made, or you got that?).
Yet, you have chosen to ignore all of this when called out....... ok then lol
I hold a shit load of shares.
Proga
Regular
Tesla/Musk has finally bitten the bullet on ADS. Musk stated in Tesla's earnings call in Jan they're going to move away from their current GPU architecture (deconstruct or something he said) and switch on DOJO mid year to use as a AI machine learning training tool. He didn't elaborate on what they're going to use but if they're switching on DOJO I'd suggest (Dio?) it will be neuromorphic. Every other major OEM are going to use it. Musk said either early last year or late the year before (can't remember) he was going to continue with the GPU architecture until his GPU team tells him not to. I guess they have been heard from.
He said they're going to start producing the cybertruck in limit numbers later this year and start mass producing in 2024. The 2023 produced cybertrucks will use the current GPU architecture and won't be retrofitted. This seems to suggest whatever they're doing next is a complete reconfiguration.
Must does know about Akida.
He said they're going to start producing the cybertruck in limit numbers later this year and start mass producing in 2024. The 2023 produced cybertrucks will use the current GPU architecture and won't be retrofitted. This seems to suggest whatever they're doing next is a complete reconfiguration.
Must does know about Akida.
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