BRN Discussion Ongoing

[M_C]

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Shining a Light on Neuromorphic Computing

AI, machine learning, and ChatGPT may be relatively new buzzwords in the public domain, but developing a computer that functions like the human brain and nervous system - both hardware and software combined - has been a decades-long challenge. Engineers at the University of Pittsburgh are today...

news.engineering.pitt.edu

 

[Diogenese]

Day traders and fans of Disney’s Frozen move on, nothing to see here…

Brainchip’s former CEO Louis DiNardo has been quoted many times as having said
“In our case, what we are finding is a sweet spot in LiDAR environment”
(quote according to the following transcript of the March 26, 2020 Market and Product Development Update: https://www.finnewsnetwork.com.au/archives/finance_news_network275603.html)

We also know that NASA is quite enamoured with Brainchip.

So I reckon chances are good we could be involved in ELSA, the “Europa LiDAR Sensor Assembly” (being developed by MIT’s Lincoln Laboratory), which is part of the Europa Lander project, “a concept for a potential future mission that would look for signs of life in the icy surface material of Jupiter's moon Europa.”

The mission is planned for early next decade and would obviously not generate much revenue by itself, but as you all know, a lot of applications originally developed by NASA for use in space later ended up as terrestrial applications and products.

And then of course there would be the prestige of having repeatedly been validated as “out of this world” by NASA, although by the time the Europa lander will navigate its way through the asteroid belt, many a WANCA will have become a believer anyway…


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There is also a November 2022 webcast, in case you would like to find out more about that space mission and ELSA in particular:

The Europa Lidar Sensor Assembly | NESC Academy Online

The NESC Academy enables effective knowledge capture and transfer, ensuring technical information remains viable and accessible. It provides a forum for the NASA community to gain critical knowledge to aid professional development and support the NASA mission. The NESC Academy presents live and...

nescacademy.nasa.gov

Research carried out at the MIT Lincoln Laboratory is quite intriguing for BRN shareholders in general, I’d say. Have a look at their newly released annual report from which the above pages about ELSA were copied:

https://www.ll.mit.edu/sites/default/files/page/doc/2023-06/MITLL_2022_Annual_Report_V2.pdf

... but the laser will melt the ice ...


China syndrome all over again ...

 

[robsmark]

Unfortunately I have to disappoint you, the SC1260 does not contain Akida according to socionext.

You’ve lost me mate - where specifically does it say, or imply that Akida IP is not engrained in this chip?

 

[DerAktienDude]

Unfortunately I have to disappoint you, the SC1260 does not contain Akida according to socionext.

I don't understand why everyone seemed so certain about the Akida being incorporated in this product anyway.
In the German forum too btw. Let's hope that significant revenue won't hit later than 2024.

 

[DerAktienDude]

You’ve lost me mate - where specifically does it say, or imply that Akida IP is not engrained in this chip?

Hey
@SocionextUS
, your product looks amazing! I'm curious to know if you're utilizing the Akida IP.

Hi Hans - Apologies for the delay. We've confirmed that this series does not. Plz refer to our site for more info on Akida: https://socionextus.com/?s=akida .

 

[Jörgi]

Hey
@SocionextUS
, your product looks amazing! I'm curious to know if you're utilizing the Akida IP.

Hi Hans - Apologies for the delay. We've confirmed that this series does not. Plz refer to our site for more info on Akida: https://socionextus.com/?s=akida .

in this link


Socionext informs that we are not involved in the SC1260. in the comments Socionext shares this link
https://socionextus.com/?s=akida
with reference to Akida. here we find this link

https://socionextus.com/products/automotive-custom-soc/

if you now click on this link

https://socionextus.com/wp-content/uploads/2022/12/CES-Booth-Poster-60GHz-CMOS-Radar-%E2%80%93-In-Cabin-Sensing-Solutions.pdf

or this

https://socionextus.com/wp-content/uploads/2022/12/CES-Suite-Poster- 60GHz-CMOS-Radar-%E2%80%93-3D-Sensing-Solutions.pdf

you get to the product numbers with Akida. we are in the SC1220A and the SC1240A

 

[robsmark]

Hey
@SocionextUS
, your product looks amazing! I'm curious to know if you're utilizing the Akida IP.

Hi Hans - Apologies for the delay. We've confirmed that this series does not. Plz refer to our site for more info on Akida: https://socionextus.com/?s=akida .

Thanks - appreciate the confirmation..

 

[Jörgi]

in addition, we are housed in the display controller

 

[Iseki]

I don't understand why everyone seemed so certain about the Akida being incorporated in this product anyway.
In the German forum too btw. Let's hope that significant revenue won't hit later than 2024.

Don't worry. Socionext doesn't even have a license for Akida.

 

[Jasonk]

this guy thinks Akida is in

 

[Yoda]

Well at least we are getting better known, If you search 'neuromorphic engineering' on Wikipedia it relevantly says:

'Brainchip announced in October 2021 that it was taking orders for its Akida AI Processor Development Kits[36] and in January 2022 that it was taking orders for its Akida AI Processor PCIe boards,[37] making it the world's first commercially available neuromorphic processor.'

 

[Learning]

Little Brainchip is among the big boy.

"Neuromorphic Computing Market size is anticipated to cross USD 2626.4 Billion by the end of 2035"

Neuromorphic Computing Market Share, Growth, Regional Analysis, Prominent Players and Forecast 2035
PRESS RELEASE
Published June 27, 2023
Comserve Online


New York, United States, Tue, 27 Jun 2023 10:55:46 / Comserve Inc. / -- Neuromorphic Computing Market size is anticipated to cross USD 2626.4 Billion by the end of 2035, growing at a CAGR of 92% during the forecast period i.e., 2023-2035.
Research Nester’s recent market research analysis on “Neuromorphic Computing Market: Global Demand Analysis & Opportunity Outlook 2035” delivers a detailed competitors analysis and a detailed overview of the global neuromorphic computing market in terms of market segmentation by offering, deployment, application, end users, and by region.

Growing Demand for Automated Vehicles Made Using Artificial Intelligence and Machine Learning to Promote Global Market Share of Neuromorphic Computing

The global neuromorphic computing market is estimated to grow majorly on account of the increased installation of self-driving technology in automobiles and growing research and development for level 5 automation in automobiles. Also, the rising use of neuromorphic chips in the production of miniature and small electronic devices to achieve customer compliance is projected to fuel market growth in the coming years. The enhanced application of neuromorphic computing in the media and entertainment sectors to analyze the buying patterns of consumers is driving the market growth.

The market expansion is also attributed to the increasing use of voice recognition devices and speech assistants in smart devices including smartphones, computers, and laptops. The increasing application of neuromorphic chips in the cameras such as drones is estimated to augment the market growth as they sense the activities and move so fast resembling human brains. The enhancement in the market size is attributed to the utilization of artificial intelligence and machine learning technology in industrial robots to reduce labor costs and the risk of accidents during loading and unloading works in heavy machinery manufacturing sectors.

Some of the major growth factors and challenges that are associated with the growth of the global neuromorphic computing market are:

Growth Drivers:

Hike in the Use of Neuromorphic Technology in the Drones and Chatterbots
Growing Demand for Biological Like Robotics and Cognitive Robots with Intelligence of the Human Brain
Challenges:

The limited opportunities for research and development of neuromorphic computing technology and slow deployment chances, along with the rise in the complexity of algorithms ad backed operations are some of the major factors anticipated to hamper the global market size of neuromorphic computing. There is an increasing need for constant advancement in hardware and software systems used in neuromorphic computing to stay updated but the lack of funds, skilled professionals, and time-consuming process is hindering the growth of the market.

By end-users, the global neuromorphic computing market is segmented into aerospace, consumer electronics, automotive, IT & telecom, military & defense, industrial, and medical. The medical segment is to garner a noteworthy share of the market by the end of 2035. There has been an escalating demand for wearables across the world that detect the change in heart rate, cholesterol, and blood pressure of the individual. In addition, an increasing application of neuromorphic computing in medical diagnostics to achieve accurate and speedy results is poised to rise the growth opportunities of the market segment. The progression of the market segment is attributed to the wide variety of applications so computing in the medical field such as image recognition for the early detection of diseases using artificial neural networks that mimic the human brain in processing information.

By region, the Asia Pacific neuromorphic computing market is to generate substantial revenue by the end of 2035. This growth is anticipated by increasing applications of advanced technologies such as artificial intelligence, data analytics, the Internet of Things, and others in modern software. The implementation of these technologies in electronic devices to develop progressed cognitive products that work on their own with the use of neuromorphic chips and neuromorphic computing is driving the market growth in the region. The growing IT sector in the region and the high usage of the internet, as well as other smart electronic devices and appliances, are propelling the market size.

This report also provides the existing competitive scenario of some of the key players of the global neuromorphic computing market which includes company profiling of IBM Corporation, Intel Corporation, Brainchip Holdings Limited, Qualcomm Technologies, HP Enterprise, HRL Laboratories LLC, Flow Neuroscience AB, Innatera Nanosystems B.V., Aspinity, Inc., Samsung Electronics Limited, and others.

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

For more information, please contact:

AJ Daniel
Research Nester
Email: info@researchnester.com
Tel: +1 646 586 9123



Read more: https://www.digitaljournal.com/pr/n...Pa_UDqf2qXH-QWtu0hABPDi3J26AE3k#ixzz85vDRtOPR

Learning 🏖

 

[JDelekto]

Little Brainchip is among the big boy.

"Neuromorphic Computing Market size is anticipated to cross USD 2626.4 Billion by the end of 2035"

Neuromorphic Computing Market Share, Growth, Regional Analysis, Prominent Players and Forecast 2035
PRESS RELEASE
Published June 27, 2023
Comserve Online


New York, United States, Tue, 27 Jun 2023 10:55:46 / Comserve Inc. / -- Neuromorphic Computing Market size is anticipated to cross USD 2626.4 Billion by the end of 2035, growing at a CAGR of 92% during the forecast period i.e., 2023-2035.
Research Nester’s recent market research analysis on “Neuromorphic Computing Market: Global Demand Analysis & Opportunity Outlook 2035” delivers a detailed competitors analysis and a detailed overview of the global neuromorphic computing market in terms of market segmentation by offering, deployment, application, end users, and by region.

Growing Demand for Automated Vehicles Made Using Artificial Intelligence and Machine Learning to Promote Global Market Share of Neuromorphic Computing

The global neuromorphic computing market is estimated to grow majorly on account of the increased installation of self-driving technology in automobiles and growing research and development for level 5 automation in automobiles. Also, the rising use of neuromorphic chips in the production of miniature and small electronic devices to achieve customer compliance is projected to fuel market growth in the coming years. The enhanced application of neuromorphic computing in the media and entertainment sectors to analyze the buying patterns of consumers is driving the market growth.

The market expansion is also attributed to the increasing use of voice recognition devices and speech assistants in smart devices including smartphones, computers, and laptops. The increasing application of neuromorphic chips in the cameras such as drones is estimated to augment the market growth as they sense the activities and move so fast resembling human brains. The enhancement in the market size is attributed to the utilization of artificial intelligence and machine learning technology in industrial robots to reduce labor costs and the risk of accidents during loading and unloading works in heavy machinery manufacturing sectors.

Some of the major growth factors and challenges that are associated with the growth of the global neuromorphic computing market are:

Growth Drivers:

Hike in the Use of Neuromorphic Technology in the Drones and Chatterbots
Growing Demand for Biological Like Robotics and Cognitive Robots with Intelligence of the Human Brain
Challenges:

The limited opportunities for research and development of neuromorphic computing technology and slow deployment chances, along with the rise in the complexity of algorithms ad backed operations are some of the major factors anticipated to hamper the global market size of neuromorphic computing. There is an increasing need for constant advancement in hardware and software systems used in neuromorphic computing to stay updated but the lack of funds, skilled professionals, and time-consuming process is hindering the growth of the market.

By end-users, the global neuromorphic computing market is segmented into aerospace, consumer electronics, automotive, IT & telecom, military & defense, industrial, and medical. The medical segment is to garner a noteworthy share of the market by the end of 2035. There has been an escalating demand for wearables across the world that detect the change in heart rate, cholesterol, and blood pressure of the individual. In addition, an increasing application of neuromorphic computing in medical diagnostics to achieve accurate and speedy results is poised to rise the growth opportunities of the market segment. The progression of the market segment is attributed to the wide variety of applications so computing in the medical field such as image recognition for the early detection of diseases using artificial neural networks that mimic the human brain in processing information.

By region, the Asia Pacific neuromorphic computing market is to generate substantial revenue by the end of 2035. This growth is anticipated by increasing applications of advanced technologies such as artificial intelligence, data analytics, the Internet of Things, and others in modern software. The implementation of these technologies in electronic devices to develop progressed cognitive products that work on their own with the use of neuromorphic chips and neuromorphic computing is driving the market growth in the region. The growing IT sector in the region and the high usage of the internet, as well as other smart electronic devices and appliances, are propelling the market size.

This report also provides the existing competitive scenario of some of the key players of the global neuromorphic computing market which includes company profiling of IBM Corporation, Intel Corporation, Brainchip Holdings Limited, Qualcomm Technologies, HP Enterprise, HRL Laboratories LLC, Flow Neuroscience AB, Innatera Nanosystems B.V., Aspinity, Inc., Samsung Electronics Limited, and others.

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

For more information, please contact:

AJ Daniel
Research Nester
Email: info@researchnester.com
Tel: +1 646 586 9123



Read more: https://www.digitaljournal.com/pr/n...Pa_UDqf2qXH-QWtu0hABPDi3J26AE3k#ixzz85vDRtOPR

Learning 🏖

Being listed among several tech giants is an excellent achievement.

However, something about "Brainchip Holdings Limited" doesn't reflect the technological edge of one of the market leaders in its space.

Hopefully one day it can be changed to "BrainChip Innovations", "BrainChip Neuromorphic" or something more sci-fi.

Also, I wish they would fix the inconsistencies of "Brainchip" vs. "BrainChip". I see the latter used more often, but both of them are used in announcements on their Web site.

 

[Learning]

Being listed among several tech giants is an excellent achievement.

However, something about "Brainchip Holdings Limited" doesn't reflect the technological edge of one of the market leaders in its space.

Hopefully one day it can be changed to "BrainChip Innovations", "BrainChip Neuromorphic" or something more sci-fi.

Also, I wish they would fix the inconsistencies of "Brainchip" vs. "BrainChip". I see the latter used more often, but both of them are used in announcements on their Web site.

Well Brainchip's Akida is the only commercial available digital Neuromorphic processor. (From the Web site: BrainChip’s first-to-market, digital neuromorphic processor IP, Akida™)

'Brainchip Neuromorphic' does have a ring to it.

Let associate the word Neuromorphic with the Brainchip brand. And let it be known, Brainchip have the first digital neuromorphic processor available.

Learning 🏖

 

[Fullmoonfever]

From Hitachi's R&D pages from Feb 23.

They appear, amongst other things, to be investigating neuromorphic...currently research with Loihi 2 at this point but never know hey...maybe BRN best knock on the door

URL change of Hitachi Review website : Hitachi Review

www.hitachi.com

24. Neuromorphic Computing that Expands the Scope of Edge AI with Ultra-low Power Consumption​

AI techniques such as image recognition are now finding applications in edge devices. However, if AI is to be widely adopted in the diverse environments at the network edge, power consumption needs to be as low as possible.

The human brain is known to consume a mere 20 W of power. By using neuromorphic algorithms and innovative devices to mimic its operation, the energy required to perform image recognition by techniques such as deep learning can be reduced more than 100-fold compared to a GPU. Hitachi has developed recognition algorithms suitable for use in video surveillance. Because this allows advanced recognition tasks such as identifying the attributes or actions of people to run on less than 1 W of power, it can be incorporated into security cameras, drones, or other edge devices to perform real-time, on-the-spot incident detection without having to send back video for processing on a server or the cloud.

In the future, Hitachi intends to help make people safer and more secure by investigating the use of this technology in real-time monitoring and surveillance solutions for public transportation and workplaces as well as other indoor and outdoor locations.

［24］Comparison of computing environments for deep learning and potential applications

 

[Dr E Brown]

This is simple and pretty cool.

 

[Sirod69]

Magnus ÖstbergMagnus Östberg• Chief Software Officer at Mercedes-Benz AG
39 Min.

Apparently, you are as excited as I am about our integration of #ChatGPT! I was overwhelmed with questions about our beta programme. First, let’s cover some basics.

Our software team integrated the ChatGPT-3.5 large language model via a #Microsoft API and the three-month beta is available in all 900,000 MBUX-equipped vehicles in the U.S. as of June 16, giving our tech-savvy U.S. customers an opportunity to test it. Now, let me answer some of your asked questions…

𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤?
By integrating the ChatGPT large language model, the #MBUX Voice Assistant can interact more naturally and adaptively with our customers. When ChatGPT transmits an answer, it is also marked accordingly in our user interface.

𝐖𝐢𝐥𝐥 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐫𝐞𝐩𝐥𝐚𝐜𝐞 𝐭𝐡𝐞 𝐞𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐧𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧?
When requesting directions, addresses and traffic data are verified by our MBUX software to ensure that they are correct.

𝐈 𝐰𝐨𝐮𝐥𝐝 𝐥𝐨𝐯𝐞 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐭𝐡𝐞 𝐛𝐞𝐭𝐚 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐞, 𝐰𝐢𝐥𝐥 𝐢𝐭 𝐛𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐢𝐧 𝐄𝐮𝐫𝐨𝐩𝐞?
The beta programme is currently only available in the USA. However, all Mercedes-Benz owners will benefit since we are using the data collected to optimise our voice control in other markets and languages.

𝐃𝐨𝐞𝐬 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐜𝐨𝐧𝐭𝐞𝐧𝐭?
ChatGPT-3.5 provides access to a large language model trained on data available prior to 2021. The Mercedes-Benz Voice Assistant retains complete access to our current and authenticated content, including the latest navigation information. As ChatGPT continues to develop, our software will be able to provide the most up-to-date responses available through the Azure OpenAI service. Our MBUX software ensures that the results are correct.

𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦 𝐦𝐚𝐧𝐚𝐠𝐞 𝐬𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐞 𝐨𝐫 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧?
Mercedes-Benz manages customer data, which is securely processed via our Mercedes-Benz Intelligent Cloud. Neither Microsoft nor ChatGPT parent company OpenAI can access Mercedes customer data. Only anonymized data is exchanged with Microsoft’s Azure OpenAI service.

𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐭𝐡𝐚𝐭 𝐞𝐧𝐬𝐮𝐫𝐞 𝐦𝐲 𝐝𝐚𝐭𝐚 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐩𝐫𝐨𝐭𝐞𝐜𝐭 𝐦𝐲 𝐩𝐫𝐢𝐯𝐚𝐜𝐲?
The security of Mercedes-Benz systems, customers, customer data and our vehicles are top priorities. We approach the integration of ChatGPT in alignment with our own responsible approach to information security principles. We guarantee data privacy, and this is an optional program that must be actively initiated by the customer. Our customers will always be informed about exactly what data we collect.

 

[cosors]

Yes. I think Akida will be used as a voice detector accelerator with Nvidia for the in-cabin infotainment. The thing about key word spotting is that it is always on, and needs to process all sounds to pick out the key words.

Akida can also be used with the driver monitor (becoming compulsory in EU).

It is probably also in Valeo's Scala 3 lidar, but Luminar hopes to be used in MB lidar in a couple of years.

Scala 2 was also used in Toyota's level 3 qualification.

"2023 Best of Sensors award winners announced at Sensors Converge
...
Automotive/Autonomous Technologies: Valeo | Valeo SCALA 3
..."

https://www.fierceelectronics.com/sensors/2023-best-sensors-award-winners-announced-sensors-converge

 

[Frangipani]

The potential for neuromorphic technology applications never ceases to amaze me…

Hands up, who has heard of Hermetia Illucens before?

No, it’s not a character from Harry Potter, however, the title (not content!) of another work of literature springs to mind regarding the following project’s collaborators: Lord(s) of the Flies.

Researchers from WSU’s International Centre for Neuromorphic Systems (ICNS) and the Department of Nutrition and Food Science have teamed up with researchers from Macquarie University’s School of Engineering as well as Industry Partner ARC Ento Tech, who are promoting an innovative way of processing MSW (municipal solid waste), partly with assistance of said Hermetia Illucens aka the black soldier fly. Actually, a huge army of them.
(https://www.arcentotechltd.com.au/bsf)

More details on the project itself and its budget/funding provided in the links below.

High-speed counting of black soldier flies for optimised waste recovery​

• Mukhopadhyay, Subhas (Chief Investigator)
• School of Engineering

Project: Research

• Overview

Project Details​

Description​

This project will develop a novel sensor assembly, based on neuromorphic
sensing, to enable high-speed counting of black soldier fly larvae (BSFL) to
optimise their breeding and production process. BSFLs are used to
process mixed solid waste and convert them into protein rich, high-value
food and feeds ingredient – a critical piece in achieving a circular economy.
ARC Ento Tech have developed an innovative process to treat waste over
the last two years, showing good traction in the industry. However, the
process relies on an optimised production of the flies. Currently the breeding
and production process is based on best practices, but there is a need to
quantify the fly production rate using smart sensors. Traditionally this has
been difficult to achieve due to their small size, yet the extremely high
number (100s of flies per minute). The high-speed counting enabled by
neuromorphic imaging, an expertise of Western Sydney University, will
deliver valuable insights to their processes.

Layman's description​

This project will develop a novel sensor assembly, based on neuromorphic
sensing, to enable high-speed counting of black soldier fly larvae (BSFL) to
optimise their breeding and production process. BSFLs are used to
process mixed solid waste and convert them into protein rich, high-value
food and feeds ingredient – a critical piece in achieving a circular economy.

Short title	Fly-count
Status	Active
Effective start/end date	1/06/23 → 31/05/24

Access Project​

• NSSN GC Application form - WSU MQU ARC Ento Tech
  File: application/pdf, 981 KB
  Type: Application
• NSSN GCF23 Outcome Letter - Marcireau
  File: application/pdf, 226 KB
  Type: Award letter

Technology​

The ARC Process™ consists of a continuous series of biological and mechanical processes which converts MSW into marketable commodities namely:

• High grade insect meal
• High nutrient fertilizer
• An innovative industrial reductant which can replace coking coal

The process consists of conventional methods of waste preparation and segregation augmented by innovative technologies that recover, re-form and re-purpose the MSW elements, significantly reducing the amount of mixed solid waste going into landfill.

​

ARC Ento Tech’s comprehensive approach is the strength of our system.​

A Total System Approach to MSW Processing​

The key stages of the ARC Process™ use two component core technologies protected under the patent pending registration and form the heart of the system:

​

1. Bio-Process​

ARC’s bio-process utilises the Black Soldier Fly (Hermetia illucens) to consume all edible organic waste in the MSW stream. The larvae are then recovered and converted into commercial products, highly nutrient insect meal and organic fertiliser.

Black Soldier Fly (BSF) Digester​

ARC Ento Tech Ltd has developed an innovative continuous process using the Black Soldier Fly to recover nutrients from food waste and digestible organic components.
This consists of a ‘digesting circuit’ that provides ideal conditions for the Black Soldier Fly larvae to flourish and optimize nutrient recovery. The recovered nutrients are then re-formed and re-purposed into ‘new’ products that are channeled back into the consumption cycle.
All indigestible organics (such as paper, textile, wood, rubber, leather) and plastics left behind after this process move on to the RDR™ mechanical process which then converts them into another commercial product. This unique process makes for ARC’s total solution to MSW.
LEARN MORE ABOUT THE BSF

2. Mechanical Process​

ARC’s mechanical process utilises a unique technology which converts plastics and other non-digestible organics into Refuse Derived Reductant (RDR™), a valuable industrial use product.

Refuse Derived Reductant (RDR™)​

ARC Ento Tech Ltd has developed the RDR™ Production System which recovers and re-forms all residual waste consisting of inorganics (plastics) and inedible organics (paper, textiles, wood) into a dense high carbon, high calorific value reducing agent.

 

[Frangipani]

To post or not to post, that is the question…
I am referring to yet another of Nandan Nayampally’s ‘likes’ on LinkedIn:

The science behind the improved Fire TV voice search | Tapas Roy | 11 comments

Very excited about how Alexa and Fire TV collaborated to improve voice search for our customers. https://lnkd.in/g8zqKctN | 11 comments on LinkedIn

www.linkedin.com

Is he just giving a friendly thumbs up to his friends and ex-colleagues (“Nayampally comes to BrainChip from Amazon, where he helped accelerate the adoption of Alexa Voice and other multimodal services into third-party devices.”) or should we read more into this?

The move of our CMO from Amazon to Brainchip in November 2022 coincided with the launch of the improved Fire TV voice search, and now a new feedback system is on the horizon. Is it remote-ly possible it has to do with any feedback provided by a former employee?

We’ll have to keep watching the financials, I guess.


CONVERSATIONAL AI / NATURAL-LANGUAGE PROCESSING

The science behind the improved Fire TV voice search​

How phonetically blended results (PBR) help ensure customers find the content they were actually asking for.​

By Sean O'Neill
June 26, 2023

Share
Put your hand up if you enjoy using your TV remote to type in the name of the show you want to watch next. Who doesn’t love shuffling the highlighted box across the screen, painstakingly selecting each letter in turn? And let’s not forget the joy of accidentally selecting a wrong letter.

Such text-based search works, but it can feel like a chore. It’s much easier and faster to just ask for what you want. With Amazon’s Fire TV, you can ask the Alexa voice assistant to find your favorite shows, movies, movie genres, actors … you name it.

But voice-based search can come with its own frustrations. What if Alexa misheard a request for the TV show Hunted as “haunted” and as a result presented a spooky screenful of incorrect suggestions?


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The science behind the “Alexa, what should I watch?” feature
This is a story of how two groups at Amazon — the Fire TV Search team and the Alexa Entertainment Spoken Language Understanding team — collaborated to launch an improved Fire TV voice search experience in the U.S. in November 2022.

The new search system gives customers a greater chance of finding what they are looking for, on their first attempt, by casting the search net a little wider — and a little smarter. It works by harnessing a suite of Alexa machine learning (ML) models to generate additional, similar-sounding words to inject into Fire TV’s search function to broaden the scope of the results presented to the customer. Hence its name: phonetically blended results (PBR). Today, about 80% of the 20 million or so unique search terms that Fire TV deals with are augmented by PBR.

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And it will only get better with time. The Alexa and Fire TV teams are working toward a feedback learning system that will allow PBR’s models to automatically generate new search candidates, prune ineffective ones, and home in on increasingly accurate confidence scores (…)