FromBeyond
Member
Thanks Hopalong, you sterling chap!
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Thanks Hopalong, you sterling chap!
HopalongPetrovski
I'm Spartacus!
Am happy to take Sterling, platinum ingots, gold sovereigns, US currency, diamond slate, cocaine or BRN scrip.
Just leave it in unmarked brown paper bags on my doorstep, but preferably not alight.
Appreciate you posting these it was very interesting to see body language and getting a full idea of what went on. As I said a month ago I always vote no to performance shares before a start up makes significant inroads financially. They are paid a good wage to do their job. You want some shares outside of that, buy them like I have had to do. I run a business, pay my tax then with the rest I can invest. I don't have inside knowledge of how it really is going, I'm going on the word of the board.
When the money starts rolling in I'm happy for you to get performance bonuses, but unfortunately in many, many start ups the directors in ASX companies get rewarded to do their job and if it works out great, if not, well I got my shares I'll head off now and join that board over there, get some more performance shares.
I don't have any ill feeling for anyone on the board, but as Roger (the dodger) put it, entitlement runs riot in ASX companies. It's become the norm!
Heard of “Dry July”
AI tech to ‘transform’ Australian food production — Sky News Australia
SmartSat CRC CEO Professor Andy Koronios says AI-enabled technologies are being developed with promises to “transform” Australia’s food production system and agriculture.apple.news
Everyone must watch the video.
Science fiction…….
I will give up drinking If this isn’t Akida.
MDhere
Regular
Tothemoon24
Top 20
Total Compute Solutions (TCS23) provide the complete platform for mobile computing
First launched in 2021, Arm’s Total Compute Solutions deliver a complete package of IP designed and optimized to work together seamlessly. This makes it easier for System on Chip (SoC) designers to tackle the many challenges of building and configuring their own compute subsystems. These include developing third-party system IP for Interconnect, System Level Caches (SLCs) and Memory Management Units (MMUs), and then integrating everything with the CPU and GPU clusters. Arm’s Total Compute Solutions significantly reduce the complexity of SoC designs, reducing engineering cost and resource and accelerating the time-to-market. This allows device manufacturers to focus on delivering their own true commercial value, which is hardware and software differentiation.
As with previous generations, the new Arm Total Compute Solutions (TCS23) address these core SoC engineering challenges alongside wider mobile computing trends. These include demands for more complex user experiences, new software capabilities and the continuous push for more performance and efficiency. The engineering challenges are particularly relevant for the premium mobile market where building SoCs is becoming more complex for silicon vendors. Through TCS23, which is built on the foundation of the new Armv9.2 architecture, we are enabling partners to utilize the latest techniques required to push power efficiency and performance boundaries so they can build the very best premium mobile SoCs. Partners can also adopt TCS23 to create a variety of configurations and scalable computing solutions to bring the TCS23 capabilities to a broad range of consumer market segments.
Looking inside TCS23
TCS23 integrates the latest Arm IP products across CPU, GPU, and System IP to deliver a wide range of computing capabilities and use cases for next-generation mobile devices. These include:- Arm’s highest performing, most energy-efficient GPUs that are all based on the brand-new 5th Gen GPU architecture: Immortalis-G720, Mali-G720 and Mali-G620.
- The Armv9.2 compute cluster consisting of the new Cortex-X4, Cortex-A720 and Cortex-A520CPUs, and the new DynamIQ Shared Unit, DSU-120, which provides double-digit performance, efficiency, and power improvements.
Alongside the latest IP, TCS23 provides development tools, designs, and optimizations tailored for the latest Android Operating System and physical implementation support to accelerate SoC designs.
We continue to develop our library software, such as Arm NN and Arm Compute Library, so developers can optimize the execution of their machine learning (ML) workloads on the Armv9 architecture. Since the beginning of this year, Arm NN and Arm Compute Library are being used by Google Apps on Android and already have 100 million active users. We are also working to seamlessly enable our IP and new features in the upstream Android Kernel.
Through TCS23, we also provide a wide range of free tools and resources, so developers can optimize their applications on Arm-based mobile devices. With nearly 9 million mobile developers worldwide, we pride ourselves on offering the flexibility and commonality needed to write easier, simpler, more secure, and faster software on Arm, for Arm. Focusing on gaming, we have deep partnerships with leading game engines to ensure our graphics tools provide highly scalable gaming optimizations. Meanwhile, our detailed resources help developers create their own gaming content.
Finally, the optimized physical IP achieves leading implementations of the Arm IP on the latest, most advanced nodes.
TSC23: premium, performance, and efficiency
Broadly, there are three different types of TCS23 configurations – premium, performance, and efficiency – for different devices, use cases and compute requirements.Premium
The premium TCS23 is designed for ultimate performance and compute-intensive experiences that are commonly required for premium and flagship smartphones and laptops. It pushes system-wide performance and efficiency improvements for the very best visual experiences, such as immersive, smooth AAA mobile gaming experiences, advanced AI use cases like image and video enhancement, and device multi-tasking. The premium TCS23 balances this performance with high levels of power efficiency for multiple days of use.Performance
The performance TCS23 is designed to address a wide range of compute requirements across multiple consumer device segments, including premium DTVs and set-top boxes (STBs) and mid-tier smartphones. The aim is to deliver high graphics and compute performance with maximum scalability for outstanding user experiences. The powerful graphics and compute performance is key to enabling multi-tasking on these devices, as well as a super smooth UX, especially when launching and switching between applications. For example, for DTVs, this could mean multi-view capabilities, such as video calling while having video streaming and AI applications overlaid on the screen. The increased performance also provides advanced ML capabilities that enhance the user experience for camera and video use cases.Efficiency
The efficiency TCS23 covers ultra scalable solutions for the very best power, cost, and area efficiency. It is targeted for devices where these efficiency considerations are vital, such as entry-level DTVs and set-top boxes (STBs) and wearables, like smartwatches. The enhanced power efficiency of our IP, as well as on a system level, enables our partners to design next-generation products with outstanding battery life. In addition, TCS23 offers a wide range of configuration options to address these cost sensitive markets. For example, we have a scalable cluster of LITTLE CPU cores powered by the new Cortex-A520 and scalable Mali GPUs.The performance and efficiency benchmarks
For every generation of Arm Total Compute Solutions, we build a complete compute subsystem on a FPGA platform. The aim is to go beyond the performance of individual standalone IP products and analyze the complete solution level performance when running complex compute workloads and a full operating system, such as Android 13.For TCS23, the reference platform was a premium solution comprising of Cortex-X4, Cortex-A720, and Cortex-A520 LITTLE CPU cores alongside our new DSU-120 with 8MB of L3 cache. The CPU cluster is partnered with Arm’s second-generation Immortalis-G720 GPU, with the CoreLink CI-700 providing the Interconnect and SLC, which is available to all IP. It is worth noting that this is just an example configuration for benchmarking purposes, with our partners able to choose alternative TCS23 configurations based on their own requirements. However, as we show below, the platform provides impressive results.
Bandwidth usage reduction
TCS23 is optimized for improved latency and bandwidth reduction for real-world workloads. The platform delivers a 30 percent DRAM bandwidth per frame traffic reduction on average compared to the previous generation TCS22¹. However, for some content, particularly games, this is even higher. For example, when we analyze scenes from the popular AAA game Fortnite, there is up to 44 percent reduction in DRAM bandwidth at a system level. Less bandwidth means less power is needed in the system, providing power efficiency savings of 20 percent on average for the GPU and DRAM power contributions². The DRAM bandwidth reduction is largely due to the new Immortalis-G720. The GPU introduces a new feature called deferred vertex shading (DVS) that is part of the brand-new 5th Gen GPU architecture, a variety of efficiency improvements, and optimizations to the SLC allocation policies.
Peak performance improvements
We measured the TCS23 platform across several compute and graphics performance benchmarks. For general compute, we saw 27 percent peak performance improvements when moving to a 1+5+2 TCS23 CPU configuration compared to a 1+3+4 TCS22 CPU configuration³. Focusing on the browsing experience alone, there is a 33 percent performance uplift with the TCS23 hardware with the same cluster configuration as we used for the previous generation TCS22⁴, and 64 percent performance uplift when combining TCS23 hardware with optimized software⁵. Meanwhile, there is up to 21 percent performance improvements on the Manhattan 3.0 graphics benchmark⁶.
Heterogeneous machine learning compute
For TCS23, we have optimized both the hardware and software to run ML workloads faster. Combining the new CPUs with hardware and software improvements for the TCS23 platform, we see an average increase in ML performance of 12 percent for Cortex-X4, 9 percent for Cortex-A720 and 13 percent for Cortex-A720⁷. On the GPU, we followed up last year’s hardware improvements with further software optimizations to Arm NN and Arm Compute Library. These provide a 4x ML performance boost on a super resolution FSRCNN network⁸.
Security, from the ground up
Through TCS23, Arm remains committed to evolving platform security through new advanced technologies and techniques to increase security assurance. TCS23 is designed to support the Android Virtualization Framework (AVF), which was introduced with Android 13, as one of its key security features. AVF, which is only supported on ARM64-based devices, provides secure and private execution environments for executing code. This is ideal for advanced use cases that require stronger security and privacy assurance to user data.For Pointer Authentication (PAC) and Branch Target Identification (BTI), which work together to improve control flow integrity by eliminating almost all ROP and JOP attacks, we managed to reduce the performance cost associated with both security features, so it is negligible for the new Cortex-X4 and Cortex-A720 CPU cores. Moreover, through PAC enhancements, including the new QARMA3 algorithm, the performance impact of PAC and BTI is now reduced to less than one percent for Cortex-A520 CPU cores.
Finally, we have updated Trusted Firmware-A (TF-A) with a new mbedTLS v3.3 library that provides new features and bug fixes for enhanced data protection.
The complete platform for the future of mobile computing
Our partners can leverage the power of TCS23 across all tiers of mobile devices, enabling them to create life-changing products, services, and experiences. Regardless of the TCS23 configuration that partners choose, they benefit from a reduced time-to-market and lower costs during SoC development. Every TCS23 configuration – whether it is premium, performance or efficiency – features IP with the same hardware interfaces and software enablement designed to work better together.
The end-to-end system optimization of TCS23 unlocks the best overall SoC performance and efficiency for mobile computing use cases now and in the future. TCS23 also provides more security and software features to ensure developers can access and unlock their creative potential and deliver innovative, immersive experiences. The multiple system level improvements and additional new features make TCS23 the complete platform for the future of mobile computing.
SharesForBrekky
Regular
Just came across this interesting training course Dell was running back in 2019:
"In 2019 Dell Technologies identified that in order to continue their business’s successful growth and remain competitive, they would need to modernise the core business, while also expanding into new markets. To do this, they would need everyone in their business to:"
"Next generation computing – Quantum Computing & Neuromorphic Chips"
Interesting to know how things have progressed here with Dell over the last 4 years.
"In 2019 Dell Technologies identified that in order to continue their business’s successful growth and remain competitive, they would need to modernise the core business, while also expanding into new markets. To do this, they would need everyone in their business to:"
"Next generation computing – Quantum Computing & Neuromorphic Chips"
Interesting to know how things have progressed here with Dell over the last 4 years.
Stable Genius
Regular
This article is not Brainchip related but a good speech to uni graduates from Nvidia CEO about how Nvidia nearly failed several times. We all make mistakes; it’s how you deal with them that counts!
On a personal note I got news from my daughter she passed her final exam for her second degree in 2 1/2 years (whilst working full time). (Proud Dad!)
I’m hoping she will take the time to read the speech as it’s great to learn from experience.
Share
“You are running for food, or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
NVIDIA founder and CEO Jensen Huang today urged graduates of National Taiwan University to run hard to seize the unprecedented opportunities that AI will present, but embrace the inevitable failures along the way.
Whatever you pursue, he told the 10,000 graduates of the island’s premier university, do it with passion and conviction — and stay humble enough to learn the hard lessons that await.
“Whatever it is, run after it like we did. Run. Don’t walk,” Huang said, having swapped his signature black leather jacket for a black graduation robe, with the school’s plum-blossom emblem highlighting a royal blue, white and aqua collar.
“Remember, either you are running for food; or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
Huang, who moved from Taiwan when he was young, recognized his parents in the audience, and shared three stories of initial failures and retreat. He called them instrumental in helping forge NVIDIA’s character during its three-decade journey from a three-person gaming-graphics startup to a global AI leader worth nearly a trillion dollars.
“I was … successful — until I started NVIDIA,” he said. “At NVIDIA, I experienced failures — great big ones. All humiliating and embarrassing. Many nearly doomed us.”
The first involved a key early contract the company won to help Sega build a gaming console. Rapid changes in the industry forced NVIDIA to give up the contract in a near-death brush with bankruptcy, which Sega’s leadership helped avert.
“Confronting our mistake and, with humility, asking for help saved NVIDIA,” he said.
The second was the decision in 2007 to put CUDA into all the company’s GPUs, enabling them to crunch data in addition to handling 3D graphics. It was an expensive, long-term investment that drew much criticism didn’t pay off for years until the chips started being used for machine learning.
“Our market cap hovered just above a billion dollars,” he recalled. “We suffered many years of poor performance. Our shareholders were skeptical of CUDA and preferred we improve profitability.”
The third was the decision in 2010 to charge into the promising mobile-phone market as graphics-rich capabilities were coming into reach. The market quickly commoditized, though, and NVIDIA retreated just as quickly, taking initial heat but opening the door to investing in promising new markets — robotics and self-driving cars.
“Our strategic retreat paid off,” he said. “By leaving the phone market, we opened our minds to invent a new one.”
Huang told grads that of the parallels in terms of boundless promise between the world he entered upon graduating four decades ago, on the cusp of the PC revolution, and the brave new age of AI they are entering today.
“For your journey, take along some of my learnings,” he said. Admit mistakes and ask for help; endure pain and suffering to realize your dreams; and make sacrifices to dedicate yourself to a life of purpose.
On a personal note I got news from my daughter she passed her final exam for her second degree in 2 1/2 years (whilst working full time). (Proud Dad!)
I’m hoping she will take the time to read the speech as it’s great to learn from experience.
NVIDIA CEO Tells NTU Grads to Run, Not Walk — But Be Prepared to Stumble
May 26, 2023 by MELODY TUShare
“You are running for food, or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
NVIDIA founder and CEO Jensen Huang today urged graduates of National Taiwan University to run hard to seize the unprecedented opportunities that AI will present, but embrace the inevitable failures along the way.
Whatever you pursue, he told the 10,000 graduates of the island’s premier university, do it with passion and conviction — and stay humble enough to learn the hard lessons that await.
“Whatever it is, run after it like we did. Run. Don’t walk,” Huang said, having swapped his signature black leather jacket for a black graduation robe, with the school’s plum-blossom emblem highlighting a royal blue, white and aqua collar.
“Remember, either you are running for food; or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
Huang, who moved from Taiwan when he was young, recognized his parents in the audience, and shared three stories of initial failures and retreat. He called them instrumental in helping forge NVIDIA’s character during its three-decade journey from a three-person gaming-graphics startup to a global AI leader worth nearly a trillion dollars.
“I was … successful — until I started NVIDIA,” he said. “At NVIDIA, I experienced failures — great big ones. All humiliating and embarrassing. Many nearly doomed us.”
The first involved a key early contract the company won to help Sega build a gaming console. Rapid changes in the industry forced NVIDIA to give up the contract in a near-death brush with bankruptcy, which Sega’s leadership helped avert.
“Confronting our mistake and, with humility, asking for help saved NVIDIA,” he said.
The second was the decision in 2007 to put CUDA into all the company’s GPUs, enabling them to crunch data in addition to handling 3D graphics. It was an expensive, long-term investment that drew much criticism didn’t pay off for years until the chips started being used for machine learning.
“Our market cap hovered just above a billion dollars,” he recalled. “We suffered many years of poor performance. Our shareholders were skeptical of CUDA and preferred we improve profitability.”
The third was the decision in 2010 to charge into the promising mobile-phone market as graphics-rich capabilities were coming into reach. The market quickly commoditized, though, and NVIDIA retreated just as quickly, taking initial heat but opening the door to investing in promising new markets — robotics and self-driving cars.
“Our strategic retreat paid off,” he said. “By leaving the phone market, we opened our minds to invent a new one.”
Huang told grads that of the parallels in terms of boundless promise between the world he entered upon graduating four decades ago, on the cusp of the PC revolution, and the brave new age of AI they are entering today.
“For your journey, take along some of my learnings,” he said. Admit mistakes and ask for help; endure pain and suffering to realize your dreams; and make sacrifices to dedicate yourself to a life of purpose.
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buena suerte :-)
BOB Bank of Brainchip
This article is not Brainchip related but a good speech to uni graduates from Nvidia CEO about how Nvidia nearly failed several times. We all make mistakes; it’s how you deal with them that counts!
On a personal note I got news from my daughters she passed her final exam for her second degree in 2 1/2 years (whilst working full time). (Proud Dad!)
I’m hoping she will take the time to read the speech as it’s great to learn from experience.
NVIDIA CEO Tells NTU Grads to Run, Not Walk — But Be Prepared to Stumble
May 26, 2023 by MELODY TU
Share
“You are running for food, or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
NVIDIA founder and CEO Jensen Huang today urged graduates of National Taiwan University to run hard to seize the unprecedented opportunities that AI will present, but embrace the inevitable failures along the way.
Whatever you pursue, he told the 10,000 graduates of the island’s premier university, do it with passion and conviction — and stay humble enough to learn the hard lessons that await.
“Whatever it is, run after it like we did. Run. Don’t walk,” Huang said, having swapped his signature black leather jacket for a black graduation robe, with the school’s plum-blossom emblem highlighting a royal blue, white and aqua collar.
“Remember, either you are running for food; or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
Huang, who moved from Taiwan when he was young, recognized his parents in the audience, and shared three stories of initial failures and retreat. He called them instrumental in helping forge NVIDIA’s character during its three-decade journey from a three-person gaming-graphics startup to a global AI leader worth nearly a trillion dollars.
“I was … successful — until I started NVIDIA,” he said. “At NVIDIA, I experienced failures — great big ones. All humiliating and embarrassing. Many nearly doomed us.”
The first involved a key early contract the company won to help Sega build a gaming console. Rapid changes in the industry forced NVIDIA to give up the contract in a near-death brush with bankruptcy, which Sega’s leadership helped avert.
“Confronting our mistake and, with humility, asking for help saved NVIDIA,” he said.
The second was the decision in 2007 to put CUDA into all the company’s GPUs, enabling them to crunch data in addition to handling 3D graphics. It was an expensive, long-term investment that drew much criticism didn’t pay off for years until the chips started being used for machine learning.
“Our market cap hovered just above a billion dollars,” he recalled. “We suffered many years of poor performance. Our shareholders were skeptical of CUDA and preferred we improve profitability.”
The third was the decision in 2010 to charge into the promising mobile-phone market as graphics-rich capabilities were coming into reach. The market quickly commoditized, though, and NVIDIA retreated just as quickly, taking initial heat but opening the door to investing in promising new markets — robotics and self-driving cars.
“Our strategic retreat paid off,” he said. “By leaving the phone market, we opened our minds to invent a new one.”
Huang told grads that of the parallels in terms of boundless promise between the world he entered upon graduating four decades ago, on the cusp of the PC revolution, and the brave new age of AI they are entering today.
“For your journey, take along some of my learnings,” he said. Admit mistakes and ask for help; endure pain and suffering to realize your dreams; and make sacrifices to dedicate yourself to a life of purpose.
"On a personal note I got news from my daughter she passed her final exam for her second degree in 2 1/2 years (whilst working full time). (Proud Dad!)" @Stable Genius
Awesome , all the hard yards have paid off..... Congratulations
Last edited:
buena suerte :-)
BOB Bank of Brainchip
Bennysmadness
Regular
ARM in automotive, with Director from ARM Robert Day.
hubs.ly
The kettle is starting to boil!
Arm in Automotive, SOAFEE and SDV | S1 Ep2 | The Garage by Sonatus
In Episode 2 of The Garage, join us for a conversation between host Dr. John Heinlein, Chief Marketing Officer from Sonatus and Robert Day, Director, North A...
hubs.ly
Market-Specific Embedded Industrial Solutions from OKdo
Tailored solutions using the latest tech to boost efficiency, cut costs, and foster sustainability. We bridge creativity and IoT innovation for your success.
supersonic001
Regular
Edge Impulse on LinkedIn: Data, acceleration, application: How AI can deliver ROI for IoT…
"I truly believe that these are exciting times and the integration of AI capabilities into systems-on-chips (SoCs) and onto SBCs is just the start of a…
Labsy
Regular
Not a Neuromorphic core but shows how the chips architecture is evolving....Exciting times.
https://www.extremetech.com/computi...pus-appear-to-have-new-low-power-hidden-cores
https://www.extremetech.com/computi...pus-appear-to-have-new-low-power-hidden-cores
Bravo
If ARM was an arm, BRN would be its biceps💪!
SoftBank's shares rose by 8.2% after Arm's news about its new technology for mobile devices. The jump in the stock price comes off the back of yesterdays announcement of the partnership with MediaTek for its next-generation smartphone. Quite understandable really, given MediaTek enables nearly 2 billion devices a year.
Now if we could only confirm our involvement in this new technology, we'd have all the shorters clambering for their incontinence pads.
Now if we could only confirm our involvement in this new technology, we'd have all the shorters clambering for their incontinence pads.
MDhere
Regular
congrats Stable and all the best to yr daughter. Thanks for sharing that article. Makes me think also that with Brainchip helping young new atudents learn about Akida it opens like a world of first hand neuromorphic genuises that will oneday be dealing with akida products and inventions and engineering. Veey clever llong term strategy in becoming the industry standard.This article is not Brainchip related but a good speech to uni graduates from Nvidia CEO about how Nvidia nearly failed several times. We all make mistakes; it’s how you deal with them that counts!
On a personal note I got news from my daughter she passed her final exam for her second degree in 2 1/2 years (whilst working full time). (Proud Dad!)
I’m hoping she will take the time to read the speech as it’s great to learn from experience.
NVIDIA CEO Tells NTU Grads to Run, Not Walk — But Be Prepared to Stumble
May 26, 2023 by MELODY TU
Share
“You are running for food, or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
NVIDIA founder and CEO Jensen Huang today urged graduates of National Taiwan University to run hard to seize the unprecedented opportunities that AI will present, but embrace the inevitable failures along the way.
Whatever you pursue, he told the 10,000 graduates of the island’s premier university, do it with passion and conviction — and stay humble enough to learn the hard lessons that await.
“Whatever it is, run after it like we did. Run. Don’t walk,” Huang said, having swapped his signature black leather jacket for a black graduation robe, with the school’s plum-blossom emblem highlighting a royal blue, white and aqua collar.
“Remember, either you are running for food; or you are running from becoming food. And often times, you can’t tell which. Either way, run.”
Huang, who moved from Taiwan when he was young, recognized his parents in the audience, and shared three stories of initial failures and retreat. He called them instrumental in helping forge NVIDIA’s character during its three-decade journey from a three-person gaming-graphics startup to a global AI leader worth nearly a trillion dollars.
“I was … successful — until I started NVIDIA,” he said. “At NVIDIA, I experienced failures — great big ones. All humiliating and embarrassing. Many nearly doomed us.”
The first involved a key early contract the company won to help Sega build a gaming console. Rapid changes in the industry forced NVIDIA to give up the contract in a near-death brush with bankruptcy, which Sega’s leadership helped avert.
“Confronting our mistake and, with humility, asking for help saved NVIDIA,” he said.
The second was the decision in 2007 to put CUDA into all the company’s GPUs, enabling them to crunch data in addition to handling 3D graphics. It was an expensive, long-term investment that drew much criticism didn’t pay off for years until the chips started being used for machine learning.
“Our market cap hovered just above a billion dollars,” he recalled. “We suffered many years of poor performance. Our shareholders were skeptical of CUDA and preferred we improve profitability.”
The third was the decision in 2010 to charge into the promising mobile-phone market as graphics-rich capabilities were coming into reach. The market quickly commoditized, though, and NVIDIA retreated just as quickly, taking initial heat but opening the door to investing in promising new markets — robotics and self-driving cars.
“Our strategic retreat paid off,” he said. “By leaving the phone market, we opened our minds to invent a new one.”
Huang told grads that of the parallels in terms of boundless promise between the world he entered upon graduating four decades ago, on the cusp of the PC revolution, and the brave new age of AI they are entering today.
“For your journey, take along some of my learnings,” he said. Admit mistakes and ask for help; endure pain and suffering to realize your dreams; and make sacrifices to dedicate yourself to a life of purpose.
Bravo
If ARM was an arm, BRN would be its biceps💪!
I just noticed these comments on Joe Guerci's (CEO of ISL) linked in and thought it was quite funny since we're in the business of biological computation, so naturally we wouldn't shoot down Vincent Velarde or call him crazy, unless we all belong in the nut-house.
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I just noticed these comments on Joe Guerci's (CEO of ISL) linked in and thought it was quite funny since we're in the business of biological computation, so naturally we wouldn't shoot down Vincent Velarde or call him crazy, unless we all belong in the nut-house.
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But is Joe right about nuclear?
https://en.wikipedia.org/wiki/Cost_of_electricity_by_source
Cirat
Regular
Hi Folks.
For those interested here are my recordings of the recent Brainchip AGM.
First off, apologies for the angle of filming and the consequent unfortunate placement of mics, water bottles and podiums etc.
For the sake of brevity I have edited out much of the merely procedural content except where I have judged it important/relevant in regards to the associated content.
I have split it into 3 seperate clips and will do as 3 seperate posts.
1. Antonio's presentation
2. Seans presentation
3. The Q & A session
As I have not tried this before am not certain of the correct way to go about it.
Will post a YouTube link here and think you will merely need to right click on it and then open the link to the YouTube file.
Enjoy.
Hopalong thank you so much for sharing the 3 recordings. Having not attended this AGM it was invaluable to see the Brainchip Board and Exec deliver addresses and Q & A answers.
TheDrooben
Pretty Pretty Pretty Pretty Good
Gap from Friday has closed
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