Just to close the day productive
https://www.linkedin.com/posts/beem...prioritises-activity-7284066751250579457-GZv8
https://www.linkedin.com/posts/beem...prioritises-activity-7284066751250579457-GZv8
BRN Discussion Ongoing
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Been thinking about this as well.
One theory that I have is that they might be required to provide a financial guarantee to ensure stability throughout contractual duration. If there is a large contract of which payment is either milestone or turnkey based, they might require Brainchip to have financial capability to scale up. It would be a high risk item for the contracting company to purchase/deal with a company with unknown financial ability to support its scaling operation in the near term timeline.
If I were to contract out house building, it would be rather unpleasant if my contractor were to suddenly run out of money midway of house construction because they have to hire more people for the work. Would probably ask for a letter of financial guarantee from the bank or financial institution.
Just my wild theory and assumption.
Could be maybe buying the whole franchise business and becoming a coffee Franchisor?
How else could they explain raising $20 mill when they are already cashed up - and cashed up big?
I agree. I’m sure I read a few years back that some tier 1 companies
I agree. I’m sure I read a few years back that some Tier 1 companies may be reluctant to sign a deal unless Brainchip could provide financial stability. Be a very bad investment for a tier 1 company to sign a deal with a company that wasn’t around long enough to deliver on the deal. This additional revenue raise is a good thing in my opinion
Fullmoonfever
Top 20
Was looking at BH again and RTX searches.
This PDF came up from the Navy (NAVAIR) and appears BH would have been working on the Snap Card prior to 2023 as this update was dated July 23.
Indicates how long Dev & testing cycles can be.
Navy definitely think highly of it at that point.
Looking good.
This PDF came up from the Navy (NAVAIR) and appears BH would have been working on the Snap Card prior to 2023 as this update was dated July 23.
Indicates how long Dev & testing cycles can be.
Navy definitely think highly of it at that point.
Looking good.
Fullmoonfever
Top 20
I just found that BH were showcasing the tech at the Navy STP in April 2024 plus I can see another friend in Intellisense was also showcasing some tech.
Wonder how much interest they generated, presuming some, as the next thing we see is the commercial release by BH also identifying its use of Akida.
Navy STP Innovative Technology Showcase at Sea-Air-Space 2024
The Navy SBIR Transition Program (Navy STP) is hosting the Navy STP Innovative Technology Showcase (Navy STP Showcase) at booth 223 at Sea-Air-Space 2024. We invite you to visit our booth at the event scheduled for 8-10 April at the Gaylord National Resort & Convention Center in National Harbor, Mar
Navy STP Innovative Technology Showcase at Sea-Air-Space 2024
Navy SBIR/STTR Transition Program (Navy STP)
Navy SBIR/STTR Transition Program (Navy STP)
Providing commercialization, transition, and…
Published Apr 1, 2024+ Follow
The Navy SBIR Transition Program (Navy STP) is hosting the Navy STP Innovative Technology Showcase (Navy STP Showcase) at booth 223 at Sea-Air-Space 2024. We invite you to visit our booth at the event scheduled for 8-10 April at the Gaylord National Resort & Convention Center in National Harbor, Maryland.
Below is a list of small businesses who are participating in the Navy STP Showcase at #SAS2024 Company\Tech Talks are included if available at the time of publication.
Monday, April 8, 2024
Advanced ElectronicsBascom Hunter : Implementing Neural Network Algorithms on Neuromorphic Processors
Chiral Photonics : Multicore Fiber Optic Connector for Wideband Digital and Analog Photonic Links https://www.linkedin.com/feed/update/urn:li:share:7151650547773677570/
Critical Frequency Design : Model Based Systems Engineering for Tactical Data Link Systems https://www.linkedin.com/feed/update/urn:li:share:7176989021078720512/
Intellisense Systems, Inc. : Unmanned Airborne Reconfigurable Naval Communications Network https://www.linkedin.com/feed/update/urn:li:share:7167921763178258432/
Air Platforms
ES3 - Engineering and Software System Solutions, Inc. : Landing Gear Structural Heal Prognostic/ Diagnostic System
Advanced Ceramic Fibers, LLC Advanced Ceramic Fibers, LLC: Innovative Approaches in Design and Fabrication of 3D Braided Ceramic Matrix Composite (CMS) Fasteners https://www.linkedin.com/feed/update/urn:li:share:7143693116271673344/
AVATAR Partners : Augmented Reality and Aircraft Wiring
Engineering & Scientific Innovations, Inc. : Measurements of Wall-Shear-Stress Distribution in Hypersonic Flows
Precision Combustion, Inc. : High-Temperature Fuel Coking Mitigation Frangible Coatings for Fuel Nozzles and Screens https://www.linkedin.com/feed/update/urn:li:share:7166869374430072833/
SeaLandAire Technologies, Inc. : Precision High Altitude Sonobuoy Emplacement (PHASE) https://www.linkedin.com/feed/update/urn:li:share:7149136982848204800/
Autonomy
Daniel H. Wagner Associates : Artificial Intelligence Software-Based Autonomous Battle-space Monitoring Agent for a Distributed Common Operational Picture Software Subsystem https://www.linkedin.com/feed/update/urn:li:share:7168262005009670146/
Probus Test Systems : Flight Operations Planning Decision Aid Tool for Strike Operations Aboard Aircraft Carriers
Scientific Systems : Autonomous, Cooperative Behavior Amongst Unmanned Surface Vehicles https://www.linkedin.com/feed/update/urn:li:share:7166474487037677571/
Command, Control, Communications, Computers, and Intelligence (C4I)
FoVI3D : Three Dimensional Field of Light Display https://www.linkedin.com/feed/update/urn:li:share:7160339051139485697/
Fuse Integration : Robust Communications Relay with Distributed Airborne Reliable Wide-Area Interoperable Network (DARWIN) for Manned-Unmanned Teaming in a Spectrum Denied Environment https://www.linkedin.com/feed/update/urn:li:share:7155286759579283456/
Galois, Inc. : Automated Formal Verification of Software Defined Network Implementations https://www.linkedin.com/feed/update/urn:li:share:7151666157677154304/
GIRD Systems, Inc. : Wideband Interference Suppression for Dynamic-range OptiMization (WISDOM) https://www.linkedin.com/feed/update/urn:li:share:7151585376485195776/
Intraband LLC : Long-Wave Infrared Transceivers for High Speed Free Space Optical Communications in Adverse Weather Conditions https://www.linkedin.com/feed/update/urn:li:share:7178066364996177920/
Phase Sensitive Innovations, Inc. : Advanced Radio Frequency (RF) Photonic Integrated Circuit (PIC) https://www.linkedin.com/feed/update/urn:li:share:7150934076214935552/
PW Communications, Inc : Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need https://www.linkedin.com/feed/update/urn:li:share:7156377444164255744/
Soar Technology, LLC : Scenario Development and Enhancement for Military Exercises
Sonalysts, Inc. : Undersea Warfare Decision Support System Coalition Data Parser & Advanced Display
Cyber
BlueRISC Inc. : At-Scale Detection of Hardware Trojans on Chip Circuits https://www.linkedin.com/feed/update/urn:li:share:7142981963597975552/
Dignitas Technologies : Live, Virtual, and Constructive Battle Damage Assessment for Training https://www.linkedin.com/feed/update/urn:li:share:7176252162035830785/
Tuesday, April 9, 2024
Electronic WarfareIntellisense Systems, Inc. : Cyber Protection for Physical Avionics Data Inputs to Navy Platforms https://www.linkedin.com/feed/update/urn:li:share:7173714940237606913/
NP Photonics : Miniature Diode-Pumped Solid State Laser for Military and Aerospace Environments
Energy and Power Technologies
Hepburn and Sons LLC : Compact, Hatchable Transformer Rectifier
Ground and Sea Platforms
Pacific Engineering, Inc.: Hazardous Material Satellite Storage Lockers
Physical Sciences Inc. : Non-Explosive Wire Rope and Cable Cutter https://www.linkedin.com/feed/update/urn:li:share:7165754752625049600/
Triton Systems, Inc. : Small High-Speed Amphibious Role-Variant Craft (S.H.A.R.C.)
Human Systems
Concepts Beyond : Cloud Based Air Traffic Control Training System
Intellisense Systems, Inc. : Cross-Domain Goggles with an Integrated, Illuminated Display https://www.linkedin.com/feed/update/urn:li:share:7168689572065849345/
MARi : Peer-to-Peer Knowledge Sharing: Curation Automation Engine https://www.linkedin.com/feed/update/urn:li:share:7179173914093191169/
Materials and Manufacturing
Goodman Technologies LLC : Aligned Nanotube Reinforcement of Polymer-matrix Laminates https://www.linkedin.com/feed/update/urn:li:share:7151298226715787265/
HYGRATEK LLC : Icephobic Coatings or Surface Treatments for Turbomachinery Ice Protection Applications
SciMax Technologies: Innovative CH-53K Cargo Floor System https://www.linkedin.com/feed/update/urn:li:share:7163257528754110465/
Modeling and Simulation
BIOMOJO : Software Framework for Integrated Human Modeling https://www.linkedin.com/feed/update/urn:li:share:7170479620289470464/
CFD Research Corporation : Radar Seeker Model for Hypersonic Weapon Full Life Cycle Support (N211-097)-SSP
Lone Star Analysis : DIRECT TO PHASE II - Cartridge Actuated Devices/Propellant Actuated Devices Digital Twin https://www.linkedin.com/feed/update/urn:li:share:7148748682920689664/
Tau Technologies LLC : Wargaming Event Design, Scenario Development, and Execution Software Suite for Modeling and Simulation (M&S) Tool Automation https://www.linkedin.com/feed/update/urn:li:share:7176968382301241344/
Sensors
OKSI : Improved Infrared Imaging with Variable Resolution Achieved via Post-Processing
Physical Sciences Inc. : Photonic-Integrated-Circuit Spectrometer (N19A-T023)-ONR
Physical Sciences Inc. : Visible to Near-Infrared Integrated Photonics Development for Quantum Inertial Sensing (N201-082)-SSP
Advanced Photonic Sciences Advanced Photonics Sciences: Low Phase Noise Laser for Radio Frequency (RF) Photonics https://www.linkedin.com/feed/update/urn:li:share:7142612742867226624/
Sustainment
Beacon Interactive Systems : Machine Learning (ML) and Artificial Intelligence (AI) to Develop Capabilities and Impact Mission Success https://www.linkedin.com/feed/update/urn:li:share:7169016491927924737/
Qualtech Systems, Inc. : Digital Twin Technology for Naval Maintenance Training and Operations
Weapons Technologies
CoAspire : Open Call for Innovative Clear Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need
Physical Sciences Inc. : Low Cost, Single Use Precision Aiming Device for Explosive Ordnance Disposal Disrupters and Tools
TDA Research : Ignition Composition with Low Moisture Susceptibility https://www.linkedin.com/feed/update/urn:li:share:7174480229644587008/
Wednesday, April 10 Navy STP Demo Day
9:15-9:45 a.m. Intellisense Systems, Inc. : Cyber Protection for Physical Avionics Data Inputs to Navy Platforms9:50-10:20 a.m. Goodman Technologies LLC : Aligned Nanotube Reinforcement of Polymer-matrix Laminates
10:25-10:55 a.m. Navy SBIR/STTR Transition Program (Navy STP) and the Virtual Transition Marketplace (VTM)
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Humble Genius
Regular
M.2 card now available to purchase from the Brainchip Shop:
shop.brainchipinc.com
M.2 Card
Specifications Akida M.2 Card, powered by AKD1000 IC with an ARM M.4 CPU plus 20 Akida 1.0 event-based processing NPUs in a mesh. Akida M.2 AKD1000 Card accelerates CNN-based neural network models using BrainChip’s ultra energy-efficient, and purely digital, event-based processing architecture...
Dr E Brown
Regular
I really like the powered by Akida tag.
Found this document the other day regarding the snapcard…..
Attachments
Humble Genius
Regular
They say the devil is in the detail, and unfortunately they've managed to make a mistake on the page......
Eeehhhh the price?
Fullmoonfever
Top 20
PCIe boards I believe....eg more than 10 contact BRN.Eeehhhh the price?
This is great news.M.2 card now available to purchase from the Brainchip Shop:
M.2 Card
Specifications Akida M.2 Card, powered by AKD1000 IC with an ARM M.4 CPU plus 20 Akida 1.0 event-based processing NPUs in a mesh. Akida M.2 AKD1000 Card accelerates CNN-based neural network models using BrainChip’s ultra energy-efficient, and purely digital, event-based processing architecture...
View attachment 75860
It comes with a number of different board configurations ... where are the chips coming from?
DingoBorat
Slim
Maybe I'm stating the obvious, but that's our AKIDA chips on the CGI of the Snap board
RobjHunt
Regular
Great minds think alike.
DingoBorat
Slim
Does the B_ _ number relate to the Batch number??..
Because 2 of the photos for the M.2 have silver B02 and 1 has B00 (both ES which is Engineering Samples?).
The PCIe card has a gold AKD1000 with no ES after it (B00) but we know that @Humble Genius's PCIe card had AKD1000-ES B01 (Bascom Hunter also using the ES B01).
So if it's "batches" that would mean 3 ES runs and 1 "production run" that we know of?.
How many runs do we actually know occurred?
I can only recall 3 (the first, which worked well, the 2nd improved and then the one production run).
Or do we only know of the first 2?..
(Just concerning TSMC runs).
Last edited:
Hi Manny,
The point that you have raised is one I have pondered over as well, let's all be honest, the LDA deal came out of the blue, I quite frankly thought
we had finished with LDA, to close out the last deal, we even bought back the outstanding shares for around 0.03 each (from memory), whilst having access to, 140 Million AUD and to date only having drawn down 68 Million AUD it's obviously been a good avenue to funds, despite the selling off of shares and the dilution of shareholders holdings.
So, in my opinion, we are either going to do a wafer run, which goes against all the business changes that have recently taken place or we are
partnering up with a major player and need to pump in our agreed share ?
A deal involves more than one party, so I don't believe we are going solo, and our Board would have weighed up this recent LDA agreement
and come to the conclusion that whatever is going to be going down over the next few months is worth taking the risk...add to that thought,
Sean has stated some news around the Akida development would be shared over the coming months, so interesting times indeed.
Regards......Tech.
Shadow59
Regular
Akida™ M.2 Card
$249.00
Purchasing greater than 10 PCIe boards?
Contact sales@brainchip.com
Systems specifications may vary based on component availability. Images are proofs and may have a slight variation to the finished product. Shipment is estimated 7 days from the time of purchase. Delivery times may fluctuate based on supply chain availability.
They must have already have some fairly available but need funding for maunfacture of more. Hence the fund raise.
Bravo
If ARM was an arm, BRN would be its biceps💪!
This is pretty cool when you consider it in terms of our existing relationship with Penn State. For example, Abhronil Sengupta (not mentioned in this article) is an Associate Professor at Penn State. He has also been involved in the cyber-neuro RT project, along with other authors from Quantum Ventura.
Penn State researchers will use a grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models. Credit: NASA. All Rights Reserved.
Expand
January 8, 2025
By Mary Fetzer
UNIVERSITY PARK, Pa. — A team led by a Penn State College of Information Sciences and Technology (IST) researcher received a two-year, $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating artificial intelligence (AI) and satellite data into current forecasting models.
“Typically, forecasts of the atmosphere and oceans require data assimilation — combining different sources of information about the weather to obtain a more accurate result,” said Romit Maulik, assistant professor in the College of IST. “However, that data assimilation can slow down the forecast time significantly. We plan to use computer vision to dramatically accelerate this process.”
Computer vision is a form of artificial intelligence that uses machine learning and neural networks to teach computers to understand and interpret visual information data and to learn from that data to improve their performance.
The research team — which includes Steven Greybush, associate professor of meteorology in the Penn State College of Earth and Mineral Sciences, and scientists from Argonne National Laboratory, NASA Goddard Space Flight Center, the National Oceanic and Atmospheric Administration and the University of Chicago — plans to introduce various sources of data, such as satellite images, to build on past weather forecasting that used transformer-based AI algorithms and machine learning models.
“The work will involve retraining some portions of our model to take these new datasets as inputs and improve predictions,” Maulik said. “Then, we will integrate these improved algorithms into the NASA Goddard Earth Observing System so it can rapidly incorporate satellite system observations into its operational data assimilation workflows.”
Maulik and Greybush are also co-hires of the Penn State Institute for Computational and Data Sciences.
Last Updated January 8, 2025
www.psu.edu
$1.23M NASA grant to support improving satellite weather forecasting with AI
Penn State researchers will use a grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models. Credit: NASA. All Rights Reserved.
Expand
January 8, 2025
By Mary Fetzer
UNIVERSITY PARK, Pa. — A team led by a Penn State College of Information Sciences and Technology (IST) researcher received a two-year, $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating artificial intelligence (AI) and satellite data into current forecasting models.
“Typically, forecasts of the atmosphere and oceans require data assimilation — combining different sources of information about the weather to obtain a more accurate result,” said Romit Maulik, assistant professor in the College of IST. “However, that data assimilation can slow down the forecast time significantly. We plan to use computer vision to dramatically accelerate this process.”
Computer vision is a form of artificial intelligence that uses machine learning and neural networks to teach computers to understand and interpret visual information data and to learn from that data to improve their performance.
The research team — which includes Steven Greybush, associate professor of meteorology in the Penn State College of Earth and Mineral Sciences, and scientists from Argonne National Laboratory, NASA Goddard Space Flight Center, the National Oceanic and Atmospheric Administration and the University of Chicago — plans to introduce various sources of data, such as satellite images, to build on past weather forecasting that used transformer-based AI algorithms and machine learning models.
“The work will involve retraining some portions of our model to take these new datasets as inputs and improve predictions,” Maulik said. “Then, we will integrate these improved algorithms into the NASA Goddard Earth Observing System so it can rapidly incorporate satellite system observations into its operational data assimilation workflows.”
Maulik and Greybush are also co-hires of the Penn State Institute for Computational and Data Sciences.
Last Updated January 8, 2025
$1.23M NASA grant to support improving satellite weather forecasting with AI | Penn State University
A team led by a Penn State College of Information Sciences and Technology researcher received a $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models.
Last edited:
AARONASX
Holding onto what I've got
This is pretty cool when you consider it in terms of our existing relationship with Penn State. For example, Abhronil Sengupta is an Associate Professor at Penn State. He has also been involved in the cyber-neuro RT project, along with other authors from Quantum Ventura.
$1.23M NASA grant to support improving satellite weather forecasting with AI
Penn State researchers will use a grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models. Credit: NASA. All Rights Reserved.
Expand
January 8, 2025
By Mary Fetzer
UNIVERSITY PARK, Pa. — A team led by a Penn State College of Information Sciences and Technology (IST) researcher received a two-year, $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating artificial intelligence (AI) and satellite data into current forecasting models.
“Typically, forecasts of the atmosphere and oceans require data assimilation — combining different sources of information about the weather to obtain a more accurate result,” said Romit Maulik, assistant professor in the College of IST. “However, that data assimilation can slow down the forecast time significantly. We plan to use computer vision to dramatically accelerate this process.”
Computer vision is a form of artificial intelligence that uses machine learning and neural networks to teach computers to understand and interpret visual information data and to learn from that data to improve their performance.
The research team — which includes Steven Greybush, associate professor of meteorology in the Penn State College of Earth and Mineral Sciences, and scientists from Argonne National Laboratory, NASA Goddard Space Flight Center, the National Oceanic and Atmospheric Administration and the University of Chicago — plans to introduce various sources of data, such as satellite images, to build on past weather forecasting that used transformer-based AI algorithms and machine learning models.
“The work will involve retraining some portions of our model to take these new datasets as inputs and improve predictions,” Maulik said. “Then, we will integrate these improved algorithms into the NASA Goddard Earth Observing System so it can rapidly incorporate satellite system observations into its operational data assimilation workflows.”
Maulik and Greybush are also co-hires of the Penn State Institute for Computational and Data Sciences.
Last Updated January 8, 2025
$1.23M NASA grant to support improving satellite weather forecasting with AI | Penn State University
A team led by a Penn State College of Information Sciences and Technology researcher received a $1.23 million grant from NASA to improve atmosphere and ocean forecasts by incorporating AI and satellite data into current forecasting models.
...and Penn State is a current university participants under Brainchip:
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