BRN Discussion Ongoing

[RobjHunt]

Have not bothered to post a link but just read a tech news item claiming without any real details that rumour has it that Apple is planing to release a new more powerful upgraded Pod later this year or early 2023.

No other details provided but one for the 1,000 Eyes to keep in mind.

My opinion only DYOR
FF

AKIDA BALLISTA

I remember reading an article too, a week or so ago, claiming Apple are working on a new HomePod type music machine thingy. Also speculation about it incorporating a camera and Apple TV.

I have two of the larger original HomePods (which have obviously been discontinued last year) connected to my Apple TV and stream everything on my telly. Amazing sound. If Apple were able to release a portable version with our technology in it the mind boggles what the battery life could deliver.

 

[Slymeat]

Autonomous arms race is underway.
Fire and forget weaponry is being born... :/

https://www.iai.co.il/p/harpy

"Only AI can keep up with AI against drone swams" DW news...

They should have named it Harpakazi.

This seems quite scary, but HOPEFULLY can serve as a major detractor from waging war completely.

I can foresee a defense system employing thousands of very small randomly swarming drones that loiter above radar units and act as mobile air mines for loitering HARPY drones.

 

[Mt09]

Neuromorphic computing, a better solution for Artificial Intelligence? - An interview with BrainChip

Deep Learning is a great technology, some would say revolutionary. Companies like Intel and NVIDIA are currently thriving on the computing needs of deep learning and many startup are currently offering news ways to improve the compute. Most of these companies are using “Von Neumann” architecture...

www.yolegroup.com

Must be a lot older than the date states, unless 2021 was a misprint?

YT: When do you expect on your side to see a neuromorphic chip in mass production? Could this technology be applied to phones?
RL: Based upon current customer design activity and market demand, 2021 looks like the year in which the next generation of AI processors based upon neuromorphic computing principals will hit mass adoption.


View attachment 10252

Roger Levinson’s no longer at Brainchip, must be an old article with incorrect date.

 

[Deleted member 118]

Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles – Army SBIR|STTR Program

An error opening

 

[Quatrojos]

An error opening

Yep, sorry, I can’t make it work. I’ll repost when I get to my lappy.

 

[Baisyet]

Have not bothered to post a link but just read a tech news item claiming without any real details that rumour has it that Apple is planing to release a new more powerful upgraded Pod later this year or early 2023.

No other details provided but one for the 1,000 Eyes to keep in mind.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF is this the one you are talking about.
Cheers

Apple HomePod 2 review

What Hi-Fi? Awards 2023 winner. The much-missed HomePod is back – and it sounds better than ever

www.whathifi.com

 

[Fact Finder]

Hi FF is this the one you are talking about.
Cheers

Apple HomePod 2 review

What Hi-Fi? Awards 2023 winner. The much-missed HomePod is back – and it sounds better than ever

www.whathifi.com

Seems to be though this is a different publication to the one where I read it. FF

 

[Deleted member 118]

Yep, sorry, I can’t make it work. I’ll repost when I get to my lappy.

Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles – Army SBIR|STTR Program

 

[Fact Finder]

Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles – Army SBIR|STTR Program

The CIA just does not want us to see it.

 

[Rskiff]

Sorry from May

 

[Rskiff]

Is this old

from May

 

[Rskiff]

I feel that BRN now need to throw a bone out to the world as we seem to be starting to scrape the barrel for info.

 

[Bravo]

The CIA just does not want us to see it.

This link should work.

Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles – Army SBIR|STTR Program

This is about Raytheon Intelligence & Space on their Third Gen FLIR. Speaking of Raytheon, look what I stumbled across.

Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting​

June 18, 2021
Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.
John Keller

https://www.militaryaerospace.com/print/content/14205416

ARLINGTON, Va. – Sensors experts at Raytheon Technologies Corp. will develop a new kind of camera and digital signal processing to enable electro-optical smart sensors for tactical military applications.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., announced an $8.8 million contract Wednesday to the Raytheon Intelligence & Space segment in El Segundo, Calif., for the Fast Event-based Neuromorphic Camera and Electronics (FENCE) project.
FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learning algorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications.
Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.

Related: Artificial intelligence and machine learning in signal processing become the intelligence analyst's friends
Event-based imaging sensors operate asynchronously, and only transmit data from pixels that have changed, so they produce 100 times less data in sparse scenes than traditional focal plane arrays (FPAs). This leads to 100x lower latency at 100x lower power.
Despite their inherent advantages, existing event-based cameras are not compatible with military applications because military images are cluttered and dynamic. The FENCE program seeks to develop an integrated event-based infrared focal plan array with embedded digital signal processing to overcome these challenges.
The FENCE program's primary focus is on developing an asynchronous read-out integrated circuit (ROIC) capable of very low latency and power operation, and a new, low-latency event-based infrared sensor with in-pixel processing.
The project also will develop a low-power processing layer that integrates with the ROIC to identify relevant spatial and temporal signals. The ROIC and the processing layer together will enable an integrated FENCE sensor that can operate on less power than 1.5 Watts.
Related: The coming revolution in sensor and signal processing
The FENCE program will last for four years, and DARPA researchers issued their broad agency announcement for the project last October. Raytheon may not be the only FENCE contractor, as DARPA officials say they plan to award contracts to several companies.
On this contract Raytheon will do the work in Goleta and El Segundo, Calif.; Cambridge and Tewksbury, Mass.; McKinney, Texas; Tempe, Ariz.; and New York City, and should be finished by May 2025.

Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting

Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.

www.militaryaerospace.com

https://www.raytheonintelligenceandspace.com/What%20We%20Do/Decision%20Superiority/Reconnaissance%20Systems/flir

 

[Fact Finder]

This link should work.

Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles – Army SBIR|STTR Program

This is about Raytheon Intelligence & Space on their Third Gen FLIR. Speaking of Raytheon, look what I stumbled across.

Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting​

June 18, 2021
Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.
John Keller

https://www.militaryaerospace.com/print/content/14205416

ARLINGTON, Va. – Sensors experts at Raytheon Technologies Corp. will develop a new kind of camera and digital signal processing to enable electro-optical smart sensors for tactical military applications.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., announced an $8.8 million contract Wednesday to the Raytheon Intelligence & Space segment in El Segundo, Calif., for the Fast Event-based Neuromorphic Camera and Electronics (FENCE) project.
FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learning algorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications.
Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.

Related: Artificial intelligence and machine learning in signal processing become the intelligence analyst's friends
Event-based imaging sensors operate asynchronously, and only transmit data from pixels that have changed, so they produce 100 times less data in sparse scenes than traditional focal plane arrays (FPAs). This leads to 100x lower latency at 100x lower power.
Despite their inherent advantages, existing event-based cameras are not compatible with military applications because military images are cluttered and dynamic. The FENCE program seeks to develop an integrated event-based infrared focal plan array with embedded digital signal processing to overcome these challenges.
The FENCE program's primary focus is on developing an asynchronous read-out integrated circuit (ROIC) capable of very low latency and power operation, and a new, low-latency event-based infrared sensor with in-pixel processing.
The project also will develop a low-power processing layer that integrates with the ROIC to identify relevant spatial and temporal signals. The ROIC and the processing layer together will enable an integrated FENCE sensor that can operate on less power than 1.5 Watts.
Related: The coming revolution in sensor and signal processing
The FENCE program will last for four years, and DARPA researchers issued their broad agency announcement for the project last October. Raytheon may not be the only FENCE contractor, as DARPA officials say they plan to award contracts to several companies.
On this contract Raytheon will do the work in Goleta and El Segundo, Calif.; Cambridge and Tewksbury, Mass.; McKinney, Texas; Tempe, Ariz.; and New York City, and should be finished by May 2025.

Raytheon to develop smart sensors, machine learning, and digital signal processing for military targeting

Raytheon will develop an event-based camera, digital signal processing, and machine learning for smart sensors in tactical military applications.

www.militaryaerospace.com

https://www.raytheonintelligenceandspace.com/What%20We%20Do/Decision%20Superiority/Reconnaissance%20Systems/flir

Many thanks @Bravo let us hope it is not your last act of defiance against the state. FF

AKIDA BALLISTA

 

[Labsy]

They should have named it Harpakazi.

This seems quite scary, but HOPEFULLY can serve as a major detractor from waging war completely.

I can foresee a defense system employing thousands of very small randomly swarming drones that loiter above radar units and act as mobile air mines for loitering HARPY drones.

Yes, war technology will get smaller and more accurate. It will pass human capabilities. Imagine sending off drones to target the origin of artillery fire as a defence mechanism. Imagine ai driven "Iron dome" defence capabilities for cities living under threat of bombardment. Imagine sensors able to detect explosive compounds communicating with drones in large crowds as a defence against terrorist acts.

 

[robsmark]

from May

Agreed. We are now in the second half of a year of which we were promised revenue and deals. I’m sure it’s happening, but we need to see some more customers to develop the SP.

 

[newpunta]

Not a doubt in my mind and clearly just only my opinion.
I only watched the last hour and will presume the previous 5 hours today was very similar.
The only sellers were the same people buying .......... just hope real buyers are getting in and taking advantage.

I am more laid back about the manipulation lately ......... not cos i am getting used to this but COS thanks to the thousand eyes quality posts.

I have NO DOUBT where Brainchip is going ......... beyond where any man/woman or neutral have EVER BIN.
Just my opinion

 

[Filobeddo]

Autonomous arms race is underway.
Fire and forget weaponry is being born... :/

https://www.iai.co.il/p/harpy

"Only AI can keep up with AI against drone swams" DW news...

Interesting post @Labsy

Ukraine could do with a few of those Harpy launchers right now, they would tip the balance very quickly

 

[Bravo]

Many thanks @Bravo let us hope it is not your last act of defiance against the state. FF

AKIDA BALLISTA

Many thanks @Bravo let us hope it is not your last act of defiance against the state. FF

AKIDA BALLISTA

 

[Fact Finder]

Just a reminder for those who work in politics and think a week is a long time:


“Laguna Hills, Calif. – June 19, 2022 – BrainChip Holdings Ltd(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world’s most advanced neuromorphic vision systems, today announced a technology partnership that delivers next-generation platforms for OEMs looking to integrate event-based vision systems with high levels of AI performance coupled with ultra-low power technologies.
Inspired by human vision, Prophesee’s technology uses a patented sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology. Prophesee’s computer vision systems open new potential in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR.
BrainChip’s first-to-market neuromorphic processor, Akida, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML local to the chip, independent of the cloud, also dramatically reduces latency.
“We’ve successfully ported the data from Prophesee’s neuromorphic-based camera sensor to process inference on Akida with impressive performance,” said Anil Mankar, Co-Founder and CDO of BrainChip. “This combination of intelligent vision sensors with Akida’s ability to process data with unparalleled efficiency, precision and economy of energy at the point of acquisition truly advances state-of-the-art AI enablement and offers manufacturers a ready-to-implement solution.”
“By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs looking to leverage edge-based visual technologies as part of their product offerings,” said Luca Verre, CEO and co-founder of Prophesee.”

As an investor if I see a press release like the above every month I consider I am doing well and my investment is on track.

My opinion only DYOR
FF

AKIDA BALLISTA