D
Deleted member 118
Guest
As it vanished yesterday, here it is again
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
BaconLover
Founding Member
Lou did sell nearly half of his holdings, he had about 11 million shares about couple of years ago, now it's about 5.9 million shares.
Sure that's a lot of shares he's still holding, but he has taken profits off the table (Nothing wrong with it, just adding some context).
Steve10
Regular
Shifting to an FPGA Data Center Future: How are FPGAs a Potential Solution?
April 04, 2022 by Jake Hertz
As data centers are put under more pressure, EEs are looking at field-programmable gate arrays (FPGAs) as a potential solution. However, how could they be useful, and who is ramping up their research efforts?
Today more than ever, the data center is being put under enormous strain. Between the increasing popularity of cloud computing, the high rate of data creation, and new compute-intensive applications like machine learning, our current data center infrastructures are being pushed to their limits.
To help ensure that the data center of the future will be able to keep up with these trends and continually improve performance, engineers are reimagining data center computing hardware altogether.
From this, one of the most important pieces of hardware for the data center is the FPGA.
View attachment 31878
A high-level overview of an FPGA. Image used courtesy of Stemmer Imaging
A recently announced center, the Intel/VMware Crossroads 3D-FPGA Academic Research Center, is hoping to spur the improvement of FPGA technology explicitly for data centers.
In this article, we’ll talk about the benefits of FPGAs for the data center and how the new research center plans to improve the technology even further.
A Shift to Accelerators
There are currently two major trends in the data center that are driving the future of the field: an increase in data traffic and an increase in computationally-intensive applications.
The challenge here is that, not only must the data centers be able to handle increased data and tougher computations, but there is a greater demand to do this at lower power and higher performance than ever before.
To achieve this, engineers have shifted away from more general-purpose computing hardware, such as central processing units (CPUs) and graphics processing units (GPUs), and instead, employ hardware accelerators.
View attachment 31880
An example of heterogeneous architecture, which is becoming the norm in the data center. Image used courtesy of Zhang et al
Engineers can achieve higher performance and low power computation with application-specific computing blocks than previously possible. To many, a heterogeneous computing architecture consisting of accelerators, GPUs, and CPUs, is the widely accepted path forward for future data centers.
Benefits of FPGAs for the Data Center
FPGAs are uniquely positioned to benefit the data center for several reasons.
First off, FPGAs are highly customizable, meaning that they can be configured for use as an application-specific hardware accelerator.
In the context of the data center, engineers can configure FPGAs for applications like machine learning, networking, or security. Due to their software-defined nature, FPGAs offer easier design flows and shorter time to market accelerators than an application-specific integrated circuit (ASIC).
View attachment 31881
An example diagram showing how FPGAs can be dynamically reconfigured. Image used courtesy of Wang et al
Secondly, FPGAs can offer the benefits of versatility. Since an FPGA's functionality can be defined purely by HDL code, a single FPGA can serve many purposes. This functionality could help reduce complexity and create uniformity in a system.
Instead of needing a variety of different hardened ASICs, a single FPGA can be configured and reconfigured for various applications, opening the door to further optimization of hardware resources.
Thus, some FPGAs can be reconfigured in real-time based on the application being run, meaning a single FPGA can serve as many roles as needed.
A 3D-FPGA Academic Research Center
Recently, the Intel/VMware Crossroads 3D-FPGA Academic Research Center was announced as a multi-university effort to improve the future of FPGA technology.
The team, which consists of researchers from the University of Toronto, UT Austin, Carnegie Mellon, and more, focuses their efforts directly on the role of FPGAs in the data center. More specifically, the group will be investigating ways to achieve 3D integration within the framework of an FPGA.
The idea is that, by being able to stack multiple FPGA dies vertically, researchers should be able to achieve a higher transistor density while also balancing performance, power, and manufacturing costs.
Overall, the group hopes to use 3D-integration technology to create heterogeneous systems consisting of FPGAs and hardened logic- accelerators, all within a single package. The technology will seek to combine a Network-on-Chip (NoC) in a layer beneath the traditional FPGA fabric such that the NoC can control data routing while the FPGA can provide the computation needed.
Overall, the group hopes to extend the rise of in-network computing into the server with their new technologies.
FPGAs for Future Data Centers
The FPGA will undoubtedly become a key player as the data center trends towards more data and more intensive computation.
With a new research group hoping to bolster the technology, it seems even more apparent now than ever that FPGAs are becoming a mainstay in the data center industry.
https://www.allaboutcircuits.com/news/shifting-to-a-field-programable-gate-array-data-center-future/
Amazon’s Xilinx FPGA Cloud: Why This May Be A Significant Milestone
/ AI and Machine Learning, CPU GPU DSP FPGA, Semiconductor / By Karl Freund
Datacenters, especially the really big guys known as the Super 7 (Alibaba, Amazon, Baidu, Facebook, Google, Microsoft and Tencent), are experiencing significant growth in key workloads that require more performance than can squeezed out of even the fastest CPUs. Applications such as Deep Neural Networks (DNN) for Artificial Intelligences (AIs), complex data analytics, 4K live streaming video and advanced networking and security features are increasingly being offloaded to super-fast accelerators that can provide 10X or more the performance of a CPU. NVIDIA GPUs in particular have benefited enormously from the training portion of machine learning, reporting a 193% Y/Y last quarter in their datacenter segment, which is now approaching a $1B run-rate business.
View attachment 31882
But GPU’s aren’t the only acceleration game in town. Microsoft has recently announced that Field Programmable Gate Array (FPGA) accelerators have become pervasive in their datacenters. Soon after, Xilinx announced that Baidu is using their devices for acceleration of machine learning applied to speech processing and autonomous vehicles. And Xilinx announced last month a ‘reconfigurable acceleration stack’ that reduces the time to market for FPGA solutions with libraries, tools, frameworks and OpenStack support for several datacenter workloads. Now Amazon has announced the addition of Xilinx FPGAs to their cloud services, signaling that the company may be seeing market demand for access to these once-obscure style of chips for parallel processing. This announcement may be a significant milestone for FPGAs in general, and Xilinx in particular.
What did Amazon Announce?
Amazon is not the first company to offer FPGA cloud services, but they are one of the largest. Microsoft uses them internally but does not yet offer them as a service to their Azure customers. Amazon, on the other hand, built custom servers to enable them to offer new public F1 Elastic Cloud instances supporting up to eight 16nm Xilinx Ultrascale+ FPGAs per instance. Initially offered as a developer’s platform, these instances can target the experienced FPGA community. Amazon did not discuss the availability of high-level tools such as OpenCL or the Xilinx reconfigurable acceleration stack. Adding these capabilities could open up a larger market for early adopters and developers. However, I would expect Amazon to expand their offering in the future, otherwise I doubt they would have gone to all the expense and effort to design and build their own customized, scalable servers.
Why this announcement may be significant
First and foremost, this deal with the world’s largest cloud provider is a major design win for Xilinx over their archrival Altera, acquired last year by Intel, as Altera was named as Microsoft’s supplier for their FPGA enhanced servers. At the time of the Altera acquisition, Intel had predicted that over one third of cloud compute nodes would deploy FPGA accelerators by 2020. Now it looks like Xilinx is poised to benefit from the market’s expected growth, in part since Xilinx appears to enjoy at least a year lead in manufacturing technology over Altera with Xilinx’s new 16nm FinFET generation silicon, which is now shipping in volume production. Xilinx has also focused on providing highly scalable solutions, with support for PCIe and other capabilities such as the CCIX interconnect. Altera, on the other hand, has been focusing on integration into Intel, including the development of an integrated multichip module pairing up one low-end FPGA with a Xeon processor. Surely, Intel wants to drag as much Xeon revenue along with each FPGA as possible. While this approach has distinct advantages for some lower end applications (primarily through faster communications and lower costs), it is not ideal for applications requiring accelerator pooling, where multiple accelerators are attached to a single CPU.
Second, as I mentioned above, Amazon didn’t just throw a bunch of FPGA cards into PCIe servers and call it a day; they designed a custom server with a fabric of pooled accelerators that interconnects up to 8 FPGAs. This allows the chips to share memory and improves bandwidth and latency for inter-chip communication. That tells us that Amazon may be seeing customer demand for significant scaling for applications such as inference engines for Deep Learning and other workloads.
Finally, Amazon must be seeing demand from developers across a broader market than the typical suspects on the list of the Super 7. After all, those massive companies possess the bench strength and wherewithal to buy and build their own FPGA equipped servers and would be unlikely to come to their competitor for services. Amazon named an impressive list of companies endorsing the new F1 instance, spanning a surprising breadth of applications and workloads.
Where do we go from here?
The growing market for datacenter accelerators will be large enough to lift a lot of boats, not just GPUs, and Xilinx appears to be well positioned to benefit from this trend. It will now be important to see more specific customer examples and quantified benefits in order to gauge whether the FPGA is going mainstream or remains a relatively small niche. We also hope to see more support from Amazon for the toolsets needed to make these fast chips easier to use by a larger market. This includes support for application developers to use their framework of choice (e.g, Caffe, FFMPEG) with a simple compile option to target the FPGA, a goal of the recently introduced Xilinx acceleration stack.
Amazon's Xilinx FPGA Cloud: Why This May Be A Significant Milestone
Datacenters, especially the really big guys known as the Super 7 (Alibaba, Amazon, Baidu, Facebook, Google, Microsoft and Tencent), are experiencing significant growth in key workloads that require more performance than can squeezed out of even the fastest CPUs. Applications such as Deep Neural...moorinsightsstrategy.com
There is a link to BRN in this article via Carnegie Mellon.
The team, which consists of researchers from the University of Toronto, UT Austin, Carnegie Mellon, and more, focuses their efforts directly on the role of FPGAs in the data center.
University AI Accelerator Program
Getupthere
Regular
Nvidia's going to be using TSMC, not Intel's Arizona fabs — PC Gamer
Nvidia's CEO confirms plans to use TSMC's Arizona fabs.
D
Deleted member 118
Guest
AI inventions process data and enhance human capabilities - Business News
artifical Intelligence
biz.crast.net
Fair write up for brn.
Last edited by a moderator:
Mazewolf
Regular
SpikeGPT: researcher releases code for largest-ever spiking neural network for language generation
Assistant Professor of Electrical and Computer Engineering Jason Eshraghian and two students recently released the open-sourced code for the largest language-generating spiking neural network ever, named SpikeGPT.
news.ucsc.edu
D
Deleted member 118
Guest
Technion & Pfizer to Collaborate
Collaboration framework agreement between the Technion and Pfizer signed to accelerate scientific breakthroughs
www.technion.ac.il
thelittleshort
Top Bloke
Steve10
Regular
Have been reviewing reports from various sources about the Global Neuromorphic Chip Market.
Previous reports reviewed covered the Edge AI Hardware Processor market which includes non-neuromorphic chip technologies. Other companies are enabling edge AI using different tech such as GPU's etc.
Companies enabling edge AI include Apple, ARM, MediaTek, Qualcomm, Nvidia, Intel, Google, Microsoft, AMD, Micron, Imagination, Tenstorrent, Hailo, STMicroelectronics, Graphcore, Syntiant, Ambarella, Perceive etc.
Companies enabling edge AI with neuromorphic processors include BrainChip, SynSense, Quadric, Innatera, GrAI Matter Labs etc.
The reports for the Global Neuromorphic Chip Market TAM are all different.
1. USD $1.6B in 2031 @ 43.8% CAGR
www.transparencymarketresearch.com
2. USD $8.6B in 2028 @ 16.6% CAGR = $13.63B in 2031
www.imarcgroup.com
3. USD $16.2B in 2030 @ 20.2% CAGR = $19.5B in 2031
www.researchandmarkets.com
4. USD $3.8B in 2021 @ 22.3% CAGR = $28.45B in 2031
www.coherentmarketinsights.com
Disregarding the first report & using the average of the last three reports results in USD $20.52B in 2031 @ 19.7% CAGR.
There are not many companies with neuromorphic technology so competition will be low. The neuromorphic chip pie at this stage will be split between only five companies. The technology is relatively new & early majority adoption will take 3-6 years.
USD $20.52B = AUD $31.2B x 5% IP royalty/licencing TAM = $1.564B in 2030.
Will be AUD $8.86B x 5% IP royalty/licencing TAM = $443M in 2023.
Will be AUD $10.6B x 5% IP royalty/licencing TAM = $530M in 2024.
There appears to be $400-500M IP royalty/licencing revenue up for grabs in 2023 & 2024.
With limited competition BRN should be able to take significant market share.
At 19.7% CAGR the $1.564B in 2030 will be $3.84B in 2035.
However, the reports are all over the place as it's impossible to factor in new applications in future. They more or less took a calculated guess at a number.
Should BRN tech prove to be revolutionary as mentioned in research articles then you can throw all the guesstimate reports in the bin.
Previous reports reviewed covered the Edge AI Hardware Processor market which includes non-neuromorphic chip technologies. Other companies are enabling edge AI using different tech such as GPU's etc.
Companies enabling edge AI include Apple, ARM, MediaTek, Qualcomm, Nvidia, Intel, Google, Microsoft, AMD, Micron, Imagination, Tenstorrent, Hailo, STMicroelectronics, Graphcore, Syntiant, Ambarella, Perceive etc.
Companies enabling edge AI with neuromorphic processors include BrainChip, SynSense, Quadric, Innatera, GrAI Matter Labs etc.
The reports for the Global Neuromorphic Chip Market TAM are all different.
1. USD $1.6B in 2031 @ 43.8% CAGR
Neuromorphic Chip Market Size, Trends & Industry Sales (2034)
The neuromorphic chip market was valued at US$ 56.2 Mn in 2023, It is estimated to grow at a CAGR of 40.1% from 2024 to 2034 and reach US$ 2.3 Bn by the end of 2034
www.transparencymarketresearch.com
2. USD $8.6B in 2028 @ 16.6% CAGR = $13.63B in 2031
Neuromorphic Chip Market Size, Share and Forecast 2033
The neuromorphic chip market size was valued USD 3.5 billion in 2024, & is projected to attain USD 11.9 billion by 2033, CAGR of 13.73% during 2025-2033.
3. USD $16.2B in 2030 @ 20.2% CAGR = $19.5B in 2031
Neuromorphic Chips - Global Strategic Business Report
The Neuromorphic Chips Market, valued at USD 6.1B in 2024, is projected to reach USD 18.1B by 2030, growing at a 19.8% CAGR.
4. USD $3.8B in 2021 @ 22.3% CAGR = $28.45B in 2031
Neuromorphic Chip Market Size & Opportunities, 2025-2032
Neuromorphic Chip Market valuation is estimated to reach USD 125.39 Bn in 2025 & anticipated to grow to USD 4,599.75 Bn by 2032 with steady CAGR of 67.3%.
Disregarding the first report & using the average of the last three reports results in USD $20.52B in 2031 @ 19.7% CAGR.
There are not many companies with neuromorphic technology so competition will be low. The neuromorphic chip pie at this stage will be split between only five companies. The technology is relatively new & early majority adoption will take 3-6 years.
USD $20.52B = AUD $31.2B x 5% IP royalty/licencing TAM = $1.564B in 2030.
Will be AUD $8.86B x 5% IP royalty/licencing TAM = $443M in 2023.
Will be AUD $10.6B x 5% IP royalty/licencing TAM = $530M in 2024.
There appears to be $400-500M IP royalty/licencing revenue up for grabs in 2023 & 2024.
With limited competition BRN should be able to take significant market share.
At 19.7% CAGR the $1.564B in 2030 will be $3.84B in 2035.
However, the reports are all over the place as it's impossible to factor in new applications in future. They more or less took a calculated guess at a number.
Should BRN tech prove to be revolutionary as mentioned in research articles then you can throw all the guesstimate reports in the bin.
mrgds
Regular
Thnx @MazewolfSpikeGPT: researcher releases code for largest-ever spiking neural network for language generation
Assistant Professor of Electrical and Computer Engineering Jason Eshraghian and two students recently released the open-sourced code for the largest language-generating spiking neural network ever, named SpikeGPT.
Quote;
SpikeGPT also offers huge benefits for security and privacy. With the language generator on a local device, data imputed into the systemns are much more secure, protected from potential data harvesting enterprises.
This work shows we can actually train models at the same scale with very similiar performance, with far, far better energy consumption than whats currently out there.
However, this transition will require the development of a brain inspired hardware, which is a significant investment.
Eshraghian hopes to work with a hardware company such as Intel to host these models, which would allow him to further demonstrate the energy savings of his SNN.
AKIDA BALLISTA
Yes, it is possible to train a language model by providing specific information through SNN, which is impressive. However, to acquire the vast knowledge that OpenAI has trained its models on, it would require significant enterprise resources. Additionally, retaining such extensive knowledge/data would be challenging at the edge. Essentially, the approach depends on the specific use case. Nevertheless, it is exciting to witness SNN's impact in this field!!
Last edited:
HopalongPetrovski
I'm Spartacus!
Coming up this week........
Brainchip, bringing it!
Brainchip, bringing it!
| |||||
|
I see the connection between Edge impulse and Brainchip.
Edge Impulse have their first Industrial monitoring product (not sure how close to Commercialisation it is) and Health Wearables products.
At the last BRN Podast Fireside Chat, they said those 2 areas are where the shorter term sales will come from.
It's wait and see.
But I like the connection..
See Impulse Imbedded Workd 2023 tweet from easier post.
Edge Impulse have their first Industrial monitoring product (not sure how close to Commercialisation it is) and Health Wearables products.
At the last BRN Podast Fireside Chat, they said those 2 areas are where the shorter term sales will come from.
It's wait and see.
But I like the connection..
See Impulse Imbedded Workd 2023 tweet from easier post.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Sensor Cortek + Valeo + Synposys
Synopsys technology is at the heart of innovations that are changing the way we work and play. Autonomous vehicles. Artificial intelligence. The cloud. 5G. These breakthroughs are ushering in the era of Smart Everything―where devices are getting smarter, everything’s connected, and everything must be secure. Powering this new era of digital innovation are advanced silicon chips and exponentially growing amounts of software content―all working together, smartly and securely. Synopsys is at the forefront of Smart Everything with the world’s most advanced technologies for chip design and verification, IP integration, and software security and quality testing. Sensor Cortek works closely with Synopsys to bring forth optimized AI solutions by embedding our DNN models on chip-level AI engine.
“Synopsys works very closely with leading embedded hardware and software companies, such as Sensor Cortek, to provide a complete development environment for ARC® processor-based systems. Sensor Cortek possesses key domain knowledge and real-world expertise in LiDAR and radar automotive applications. Our collaboration demonstrating the integration of Synopsys DesignWare® ARC Processor IP and Sensor Cortek’s sensor fusion software will deliver optimal power and performance efficiency for our mutual customers.”
–John Koeter, Senior Vice President of Marketing and Strategy for IP at Synopsys
Terranet develops software for advanced driver-assisted systems and supplies the technology behind next generation’s autonomous vehicles. Using lightning-fast 3D technology, VoxelFlow™ scans an area 25 metres ahead of the vehicle and reacts in five milliseconds. This can be compared to the 300 milliseconds of today’s ADAS systems. VoxelFlow provides the car with lightning-fast sensor technology, so it can detect what’s in front of it and act accordingly – in five milliseconds. Compared to today’s ADAS systems, it shortens the braking distance with 5,4 metres when the vehicle is travelling at 70 km/h. VoxelFlow cuts the reaction distance from 6 metres to 6 centimetres.
“The Sensor Cortek computer vision development team quickly understood the potential of Terranet’s VoxelFlow 4D sensor technology and accelerated our development of the CV/AI backend processing of VoxelFlow low latency 4D data. Your development team is well organized, efficient and has a great attention to details. Five stars!”
Nihat Küçük – CTO – Terranet
Valeo is a global automotive supplier and partner to automakers worldwide. Valeo offers one of the largest ranges of smart sensors and features that improve vehicle safety and comfort for enhanced automated driver-assistance and self-driving systems. Sensor Cortek and Valeo are involved in joint research and development of new generations of smart radar perception systems.
BlackBerry QNX develops safety-certified and secure software platform for the car. Based in Ottawa, Ontario, Canada, BlackBerry QNX has provided foundational software for many of the world’s mission-critical embedded systems since 1982. From nuclear power plants, surgical robots and class III life-critical medical devices to autonomous vehicles and brands like GM, Audi, Cisco, Fiat-Chrysler, Ford, General Electric, Medtronic, Intuitive Surgical, Lockheed Martin, Alstom, Harris, Cisco and Siemens whose products require best in class safety, reliability, and security. Sensor Cortek works closely with BlackBerry and develops solutions on top of the QNX operating system.
LeddarTech designs high-performance solid-state LiDAR modules for use in autonomous shuttles, trucks, buses, delivery vehicles, and robotaxis. LeddarTech was founded in 2007, stemming from innovative research projects on solid-state LiDARs at INO, the National Optics Institute based in Quebec City, Canada. It provides versatile and scalable LiDAR platform for Tier-1 suppliers and AD system integrators enabling mass deployment of ADAS and autonomous driving solutions by automotive and mobility OEMs. LeddarTech is an industry leader providing the most versatile and scalable auto and mobility LiDAR platform based on the unique LeddarEngineTM
engine and LeddarSPTM signal processing software.
Sensor Cortek Partners
Home•PartnersStrategic Partners
Synopsys technology is at the heart of innovations that are changing the way we work and play. Autonomous vehicles. Artificial intelligence. The cloud. 5G. These breakthroughs are ushering in the era of Smart Everything―where devices are getting smarter, everything’s connected, and everything must be secure. Powering this new era of digital innovation are advanced silicon chips and exponentially growing amounts of software content―all working together, smartly and securely. Synopsys is at the forefront of Smart Everything with the world’s most advanced technologies for chip design and verification, IP integration, and software security and quality testing. Sensor Cortek works closely with Synopsys to bring forth optimized AI solutions by embedding our DNN models on chip-level AI engine.
“Synopsys works very closely with leading embedded hardware and software companies, such as Sensor Cortek, to provide a complete development environment for ARC® processor-based systems. Sensor Cortek possesses key domain knowledge and real-world expertise in LiDAR and radar automotive applications. Our collaboration demonstrating the integration of Synopsys DesignWare® ARC Processor IP and Sensor Cortek’s sensor fusion software will deliver optimal power and performance efficiency for our mutual customers.”
–John Koeter, Senior Vice President of Marketing and Strategy for IP at Synopsys
Terranet develops software for advanced driver-assisted systems and supplies the technology behind next generation’s autonomous vehicles. Using lightning-fast 3D technology, VoxelFlow™ scans an area 25 metres ahead of the vehicle and reacts in five milliseconds. This can be compared to the 300 milliseconds of today’s ADAS systems. VoxelFlow provides the car with lightning-fast sensor technology, so it can detect what’s in front of it and act accordingly – in five milliseconds. Compared to today’s ADAS systems, it shortens the braking distance with 5,4 metres when the vehicle is travelling at 70 km/h. VoxelFlow cuts the reaction distance from 6 metres to 6 centimetres.
“The Sensor Cortek computer vision development team quickly understood the potential of Terranet’s VoxelFlow 4D sensor technology and accelerated our development of the CV/AI backend processing of VoxelFlow low latency 4D data. Your development team is well organized, efficient and has a great attention to details. Five stars!”
Nihat Küçük – CTO – Terranet
Valeo is a global automotive supplier and partner to automakers worldwide. Valeo offers one of the largest ranges of smart sensors and features that improve vehicle safety and comfort for enhanced automated driver-assistance and self-driving systems. Sensor Cortek and Valeo are involved in joint research and development of new generations of smart radar perception systems.
BlackBerry QNX develops safety-certified and secure software platform for the car. Based in Ottawa, Ontario, Canada, BlackBerry QNX has provided foundational software for many of the world’s mission-critical embedded systems since 1982. From nuclear power plants, surgical robots and class III life-critical medical devices to autonomous vehicles and brands like GM, Audi, Cisco, Fiat-Chrysler, Ford, General Electric, Medtronic, Intuitive Surgical, Lockheed Martin, Alstom, Harris, Cisco and Siemens whose products require best in class safety, reliability, and security. Sensor Cortek works closely with BlackBerry and develops solutions on top of the QNX operating system.
LeddarTech designs high-performance solid-state LiDAR modules for use in autonomous shuttles, trucks, buses, delivery vehicles, and robotaxis. LeddarTech was founded in 2007, stemming from innovative research projects on solid-state LiDARs at INO, the National Optics Institute based in Quebec City, Canada. It provides versatile and scalable LiDAR platform for Tier-1 suppliers and AD system integrators enabling mass deployment of ADAS and autonomous driving solutions by automotive and mobility OEMs. LeddarTech is an industry leader providing the most versatile and scalable auto and mobility LiDAR platform based on the unique LeddarEngineTM
engine and LeddarSPTM signal processing software.
Apple Patent reveals their work on new Health & Specialty Sensors for Apple Watch & Band, Smartglasses, AirPods, iDevices and more
On Thursday, the US Patent & Trademark Office published a patent application from Apple that relates to improving sensitivity, functionality, accuracy, speed of sensor operations and reliability of using health sensors in all manner of wearable devices (Apple Watch, Smartglasses, HMD) as well...
Steve10
Regular
Some companies caught up in SVB collapse include Roku, Roblox, Quotient, Sunnova, Sunrun & numerous US, Canadian, UK, German, Israeli, Chinese, Danish, Indian & Swedish startups.
“The loss of deposits has the potential to cripple the sector and set the ecosystem back 20 years,” they said in the letter seen by Bloomberg. “Many businesses will be sent into involuntary liquidation overnight.”
The UK is just the beginning. SVB had branches in Canada, China, Denmark, Germany, India, Israel and Sweden, too. Founders are warning that the bank’s failure could wipe out startups around the world without government intervention.
economictimes.indiatimes.com
Only banking related items I have identified for BRN is in last 4C.
BrainChip SAS has a secured overdraft facility with Credit Agricole, France, to the value of 20,000 Euros which incurs interest at 8.39%.
BrainChip Inc has an Irrevocable Standby Letter of Credit to the value of US$665,000 with First Republic Bank as security for the office lease. The Letter of Credit expires 31 May 2027 and incurs interest at 0.9%.
The Irrevocable Standby Letter of Credit as security for office lease is via the First Republic Bank so hopefully BRN hold their cash with them as well.
Stock Markets Mar 11, 2023 05:54
By Sam Boughedda
First Republic Bank (NYSE:FRC) shares plummeted more than 30% in Friday trading as the market reaction to the news surrounding SVB Financial Group (NASDAQ:SIVB) grows, but FRC said in a filing that its "liquidity position remains very strong."
SVB's meltdown began Thursday after it revealed it had to sell billions of dollars worth of securities at a loss and was seeking to raise $2.25 billion in equity to shore up its balance sheet.
Banking stocks plunged ahead of the weekend as investors fled the sector, with the Federal Deposit Insurance Corporation stating that SVB has been shut down by the California Department of Financial Protection and Innovation.
First Republic Bank, which at the time of writing is down 22% at $74.50, was just one of several bank stocks impacted, but it tumbled a significant amount due to fears about its position.
However, the bank said Friday that its "deposit base is strong and very-well diversified."
"First Republic's liquidity position remains very strong. Sources beyond a well-diversified deposit base include over $60 billion of available, unused borrowing capacity at the Federal Home Loan Bank and the Federal Reserve Bank," the company stated in the filing.
"First Republic's very high-quality investment portfolio is stable and represents a modest percentage of total bank assets," they added. "The investment portfolio is less than 15% of total bank assets. Of this, less than 2% of total bank assets is categorized as available for sale."
The bank concluded by saying it has "consistently maintained a strong capital position" and has a "long-standing track record of exceptional credit quality."
“The loss of deposits has the potential to cripple the sector and set the ecosystem back 20 years,” they said in the letter seen by Bloomberg. “Many businesses will be sent into involuntary liquidation overnight.”
The UK is just the beginning. SVB had branches in Canada, China, Denmark, Germany, India, Israel and Sweden, too. Founders are warning that the bank’s failure could wipe out startups around the world without government intervention.
silicon valley bank: Silicon Valley Bank fallout spreads around the world as UK firms plead for help - The Economic Times
Silicon Valley Bank ’s UK unit is set to be declared insolvent, has already ceased trading and is no longer taking new customers. Startup founders are panicking about accessing money and paying employees.
Only banking related items I have identified for BRN is in last 4C.
BrainChip SAS has a secured overdraft facility with Credit Agricole, France, to the value of 20,000 Euros which incurs interest at 8.39%.
BrainChip Inc has an Irrevocable Standby Letter of Credit to the value of US$665,000 with First Republic Bank as security for the office lease. The Letter of Credit expires 31 May 2027 and incurs interest at 0.9%.
The Irrevocable Standby Letter of Credit as security for office lease is via the First Republic Bank so hopefully BRN hold their cash with them as well.
First Republic Bank says 'liquidity position remains very strong'
By Sam Boughedda
First Republic Bank (NYSE:FRC) shares plummeted more than 30% in Friday trading as the market reaction to the news surrounding SVB Financial Group (NASDAQ:SIVB) grows, but FRC said in a filing that its "liquidity position remains very strong."
SVB's meltdown began Thursday after it revealed it had to sell billions of dollars worth of securities at a loss and was seeking to raise $2.25 billion in equity to shore up its balance sheet.
Banking stocks plunged ahead of the weekend as investors fled the sector, with the Federal Deposit Insurance Corporation stating that SVB has been shut down by the California Department of Financial Protection and Innovation.
First Republic Bank, which at the time of writing is down 22% at $74.50, was just one of several bank stocks impacted, but it tumbled a significant amount due to fears about its position.
However, the bank said Friday that its "deposit base is strong and very-well diversified."
"First Republic's liquidity position remains very strong. Sources beyond a well-diversified deposit base include over $60 billion of available, unused borrowing capacity at the Federal Home Loan Bank and the Federal Reserve Bank," the company stated in the filing.
"First Republic's very high-quality investment portfolio is stable and represents a modest percentage of total bank assets," they added. "The investment portfolio is less than 15% of total bank assets. Of this, less than 2% of total bank assets is categorized as available for sale."
The bank concluded by saying it has "consistently maintained a strong capital position" and has a "long-standing track record of exceptional credit quality."
Dhm
Regular
I just emailed Jason at UCSC asking him about the specific SNN chip his research entailed, together with a few links to Brainchip. If he responds I will let you know. I did let him know I am a shareholder.
Last edited:
Boab
I wish I could paint like Vincent
SVB's problems have been caused by their "heavy mortgage book" and with the Tech sector seeing heavy layoffs the mortgage defaults have also been excessive.Some companies caught up in SVB collapse include Roku, Roblox, Quotient, Sunnova, Sunrun & numerous US, Canadian, UK, German, Israeli, Chinese, Danish, Indian & Swedish startups.
“The loss of deposits has the potential to cripple the sector and set the ecosystem back 20 years,” they said in the letter seen by Bloomberg. “Many businesses will be sent into involuntary liquidation overnight.”
The UK is just the beginning. SVB had branches in Canada, China, Denmark, Germany, India, Israel and Sweden, too. Founders are warning that the bank’s failure could wipe out startups around the world without government intervention.
silicon valley bank: Silicon Valley Bank fallout spreads around the world as UK firms plead for help - The Economic Times
Silicon Valley Bank ’s UK unit is set to be declared insolvent, has already ceased trading and is no longer taking new customers. Startup founders are panicking about accessing money and paying employees.
Only banking related items I have identified for BRN is in last 4C.
BrainChip SAS has a secured overdraft facility with Credit Agricole, France, to the value of 20,000 Euros which incurs interest at 8.39%.
BrainChip Inc has an Irrevocable Standby Letter of Credit to the value of US$665,000 with First Republic Bank as security for the office lease. The Letter of Credit expires 31 May 2027 and incurs interest at 0.9%.
The Irrevocable Standby Letter of Credit as security for office lease is via the First Republic Bank so hopefully BRN hold their cash with them as well.
First Republic Bank says 'liquidity position remains very strong'
Stock Markets Mar 11, 2023 05:54
By Sam Boughedda
First Republic Bank (NYSE:FRC) shares plummeted more than 30% in Friday trading as the market reaction to the news surrounding SVB Financial Group (NASDAQ:SIVB) grows, but FRC said in a filing that its "liquidity position remains very strong."
SVB's meltdown began Thursday after it revealed it had to sell billions of dollars worth of securities at a loss and was seeking to raise $2.25 billion in equity to shore up its balance sheet.
Banking stocks plunged ahead of the weekend as investors fled the sector, with the Federal Deposit Insurance Corporation stating that SVB has been shut down by the California Department of Financial Protection and Innovation.
First Republic Bank, which at the time of writing is down 22% at $74.50, was just one of several bank stocks impacted, but it tumbled a significant amount due to fears about its position.
However, the bank said Friday that its "deposit base is strong and very-well diversified."
"First Republic's liquidity position remains very strong. Sources beyond a well-diversified deposit base include over $60 billion of available, unused borrowing capacity at the Federal Home Loan Bank and the Federal Reserve Bank," the company stated in the filing.
"First Republic's very high-quality investment portfolio is stable and represents a modest percentage of total bank assets," they added. "The investment portfolio is less than 15% of total bank assets. Of this, less than 2% of total bank assets is categorized as available for sale."
The bank concluded by saying it has "consistently maintained a strong capital position" and has a "long-standing track record of exceptional credit quality."
This may also be region specific with California having some of the strictest Covid lockdowns and also a high taxing state.
Similar threads
