BRN Discussion Ongoing

Hi Diogenese

No, not for Akida 2. I am sure it will be better than all the others before, but I also hope that the price will be much higher. The price usually gives the impression of higher quality therefore I am not pro low price. But we will see ...
Hey CHIPS, I think you are confusing the price/quality relationship for consumers vs OEM manufacturers/integrators.

While consumers sometimes go for the more expensive "higher end" product, even if the quality may actually be the same, manufacturers/integrators don't have the same "mindset" and are more concerned with the "end" profit achievable.

The Company's strategy of low cost pricing, is to make it a "dumb" decision, for OEMs to go for similarly priced lessor technologies.
Hence ensuring the spread and ubiquitousness of AKIDA.

At least that's the plan as I see it.

There have been a variety of outside factors, which have discouraged these OEMs, from venturing into "novel" directions.

But, all indications from the Company, indicate that the tide is beginning to turn in our favor (highest sales leads in Company's history).

Also, this as I see it is the start of widespread adoption, as is the Company's strategy and not taking into consideration, the irons we already have in the fire..
 
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Cartagena

Regular
New job just posted....... :) (As always, I love the free lunch)



View attachment 43132

About the job​



This job is sourced from a job board.

The ML/AI Research Scientist’s primary role is to is to support the research team in developing commercial applications for BrainChip’s Akida Neuromorphic System-on-Chip (NSoC). Some of the target applications include work in computer vision (object classification/detection and face recognition), audio processing (keyword spotting), and sensor fusion. Additionally, this team member will support the research team’s algorithm development for the next version of the Akida NSoC. BrainChip’s Akida fully-digital neuromorphic AI processor has the first of its kind, licensable product that delivers great efficiency in Edge AI devices along with unique capabilities like learning on the edge. Akida’s success is dependent on finding the best product market fit in large markets, supported by a product roadmap that has the right combination of features and capabilities that delivers the best differentiated value, with many internal functions and external entities. This is an ON-SITE ROLE ESSENTIAL JOB DUTIES AND RESPONSIBILITIES: Quickly prototyping, training, and testing machine learning (ML) solutions using online code repositories, research publications, or customer specifications Keeping abreast of developments in ML such as new development tools, libraries, and frameworks as well as new ML models/architectures, training techniques, and application pipelines Participating in ML algorithm/hardware co-design tasks Performing, documenting, and presenting detailed analyses related to ML algorithm development, software/hardware benchmarking, and application development Obtaining a thorough understanding of the Akida 1.0 hardware device and associated software stack (MetaTF) Interfacing with customers to discuss ML application goals, constraints, and opportunities JOB REQUIREMENTS: Education/Experience: Master’s Degree in Computer Science or equivalent. PhD preferred. Course work in machine learning and computer vision Strong programming skills in Python Three years’ experience developing ML applications in either TensorFlow/Keras and/or PyTorch Excellent communication skills Experience in one or more of the following application fields: Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, or Sensor Fusion. Preferred Qualifications: Ten plus years’ experience developing ML applications in TensorFlow/Keras and PyTorch Multi-project experience in object classification, object detection, face recognition, and/or keyword spotting Knowledge of deep learning quantization techniques Experience with Docker and Git Experience with Scrum/Agile software development (e.g. Jira) Benefits Offered:

  • Competitive Pay depending on experience $130K-190K base
  • Restricted Stock Units
  • Bonus Pay
  • 401K with matching
  • Free Lunch Daily
  • Company-paid Medical HMO, Dental PPO, and Vision Insurance
  • Company-paid Life Insurance and AD&D
  • Paid Time Off
  • Holiday Pay
  • Employee Assistance Program, Caregiver Support, Adoption Assistance Program
  • Flexible Spending Account
  • Health Savings Account
  • Commuter Benefit Program
  • Employee Discounts BrainChip is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Seriously look at all the perks...( And free lunch)
Where is that money coming from ??
 
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IloveLamp

Top 20
Seriously look at all the perks...( And free lunch)
Where is that money coming from ??
Right perks will get us the right people. Don't want to skimp on staff where we're headed. More ads like this please. It's a good thing imo
 
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Rarosch

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CHIPS

Regular
What chip? .....we sell IP duffus 😮‍💨
I know but it compares better this way ;)
 

robsmark

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CHIPS

Regular
Hey CHIPS, I think you are confusing the price/quality relationship for consumers vs OEM manufacturers/integrators.

While consumers sometimes go for the more expensive "higher end" product, even if the quality may actually be the same, manufacturers/integrators don't have the same "mindset" and are more concerned with the "end" profit achievable.

The Company's strategy of low cost pricing, is to make it a "dumb" decision, for OEMs to go for similarly priced lessor technologies.
Hence ensuring the spread and ubiquitousness of AKIDA.

At least that's the plan as I see it.

There have been a variety of outside factors, which have discouraged these OEMs, from venturing into "novel" directions.

But, all indications from the Company, indicate that the tide is beginning to turn in our favor (highest sales leads in Company's history).

Also, this as I see it is the start of widespread adoption, as is the Company's strategy and not taking into consideration, the irons we already have in the fire..

Hallo DingoBorat

I get your point and maybe you are right, but nevertheless, potential customers/OEMs might wonder why there is such a big price difference between Akida and the others. If I was one of those, I would. If AKIDA is, and of course it is, so much better than the others and so different and new it should be higher in price. Sometimes customers have those thoughts.
But soon the price of Akida 2.0 will be announced and then we will know more.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
And this too Funky Chicken!
Ps- also see our partnership with si-five and their x280 intelligence series combined with us and their collaboration with NASA and Microchip. Sorry, on an i-pad now and it sucks. 🛼
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Has anyone got bath towel ready for tomorrow?
1693146309812.jpeg
 
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Cartagena

Regular

Hey CHIPS, I think you are confusing the price/quality relationship for consumers vs OEM manufacturers/integrators.

While consumers sometimes go for the more expensive "higher end" product, even if the quality may actually be the same, manufacturers/integrators don't have the same "mindset" and are more concerned with the "end" profit achievable.

The Company's strategy of low cost pricing, is to make it a "dumb" decision, for OEMs to go for similarly priced lessor technologies.
Hence ensuring the spread and ubiquitousness of AKIDA.

At least that's the plan as I see it.

There have been a variety of outside factors, which have discouraged these OEMs, from venturing into "novel" directions.

But, all indications from the Company, indicate that the tide is beginning to turn in our favor (highest sales leads in Company's history).

Also, this as I see it is the start of widespread adoption, as is the Company's strategy and not taking into consideration, the irons we already have in the fire..

Vivotek using Brainchip. ⚡

Vivotek unveils edge computing facial recognition camera​

Mar 22, 2023, 4:18 pm EDT | Larisa Redins
CATEGORIES Biometric R&D | Biometrics News | Facial Recognition
Vivotek unveils edge computing facial recognition camera

A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application. They include a new camera from Vivotek, a family of vision-processing chips from Hailo, and a real-time data processing platform from BrainChip.
Vivotek has launched its first facial recognition camera, FD9387-FR-v2, that combines edge computing to identify gender and age from video footage even when people wear masks. The company says it can store up to 10,000 profiles with a 99 percent accuracy rate and is compliant with the U.S. National Defense Authorization Act.

The FD9387-FR-v2 Facial Recognition Camera from Vivotek integrates the SAFR Inside AI facial recognition platform from RealNetworks, Inc.
Features include real-time facial detection and tracking, early warning of strange faces, image privacy mode for sensitive areas, strong cybersecurity protection with encrypted data storage and transmission.
The Vivotek FD9387-FR-v2 Facial Recognition Camera suits building banks’, retailers, and buildings’ automation/access control systems. For example, it can integrate with business intelligence (BI) services to send real-time notifications when VIP customers enter the store.
Additionally, it helps track traffic in and out of smart buildings, adding an extra layer of security. Unauthorized visitors can be reported and recorded for future reference.
 
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Vivotek using Brainchip. ⚡

Vivotek unveils edge computing facial recognition camera​

Mar 22, 2023, 4:18 pm EDT | Larisa Redins
CATEGORIES Biometric R&D | Biometrics News | Facial Recognition
Vivotek unveils edge computing facial recognition camera

A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application. They include a new camera from Vivotek, a family of vision-processing chips from Hailo, and a real-time data processing platform from BrainChip.
Vivotek has launched its first facial recognition camera, FD9387-FR-v2, that combines edge computing to identify gender and age from video footage even when people wear masks. The company says it can store up to 10,000 profiles with a 99 percent accuracy rate and is compliant with the U.S. National Defense Authorization Act.

The FD9387-FR-v2 Facial Recognition Camera from Vivotek integrates the SAFR Inside AI facial recognition platform from RealNetworks, Inc.
Features include real-time facial detection and tracking, early warning of strange faces, image privacy mode for sensitive areas, strong cybersecurity protection with encrypted data storage and transmission.
The Vivotek FD9387-FR-v2 Facial Recognition Camera suits building banks’, retailers, and buildings’ automation/access control systems. For example, it can integrate with business intelligence (BI) services to send real-time notifications when VIP customers enter the store.
Additionally, it helps track traffic in and out of smart buildings, adding an extra layer of security. Unauthorized visitors can be reported and recorded for future reference.
I can already envision the clown show complaining about these cameras assuming people's gender. 🤦🤦‍♀️🤦‍♂️🚁
 
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I'm going to assume that you are completely illiterate. The company has never once said that Akida1000 was a flop or failed or didn't work.

They stated that tech available currently is good enough for what tech companies are trying to achieve. It doesn't mean that it couldn't be used in future products that need more power efficiency etc etc.

Remember Megachips and Renesas (this year) are due to bring their own products to market soon having used Akida1000. Mercedes also used Akida1000 and said it was 5-10 times better than what they had been working with.

It was a success and continues to be. Otherwise Akida2.0 or Akida 1500 wouldn't have been developed.

The amount of dribble I've seen on here about this topic is annoying.

If you truly believe what you said just sell up and short this fucker. I bet you won't though
If you're assuming that I'm illiterate because a company does not publicly announce "our product is a flop" then I'm going to assume you're not able to think straight.
We're not a publicly funded university. If your product, let alone the only one you've got, does not sell 3 years into commercialization, it failed.
We have to generate revenue, especially after the statements made until three years back.
Other organizations, universities and companies telling us that the product is good simply is not enough anymore.
I'm not selling because I put a lot of hope into the second gen.
The performance up until this point is terrible though.
 
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charles2

Regular
Has anyone got bath towel ready for tomorrow?
Per performance on foreign markets (Friday) a 10% drop is likely. Unless of course Brainchip has positive news.

I used the drop to add shares....about 10k.

Stupid or brilliant?

The recurring question.
 
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Vivotek using Brainchip. ⚡

Vivotek unveils edge computing facial recognition camera​

Mar 22, 2023, 4:18 pm EDT | Larisa Redins
CATEGORIES Biometric R&D | Biometrics News | Facial Recognition
Vivotek unveils edge computing facial recognition camera

A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application. They include a new camera from Vivotek, a family of vision-processing chips from Hailo, and a real-time data processing platform from BrainChip.
Vivotek has launched its first facial recognition camera, FD9387-FR-v2, that combines edge computing to identify gender and age from video footage even when people wear masks. The company says it can store up to 10,000 profiles with a 99 percent accuracy rate and is compliant with the U.S. National Defense Authorization Act.

The FD9387-FR-v2 Facial Recognition Camera from Vivotek integrates the SAFR Inside AI facial recognition platform from RealNetworks, Inc.
Features include real-time facial detection and tracking, early warning of strange faces, image privacy mode for sensitive areas, strong cybersecurity protection with encrypted data storage and transmission.
The Vivotek FD9387-FR-v2 Facial Recognition Camera suits building banks’, retailers, and buildings’ automation/access control systems. For example, it can integrate with business intelligence (BI) services to send real-time notifications when VIP customers enter the store.
Additionally, it helps track traffic in and out of smart buildings, adding an extra layer of security. Unauthorized visitors can be reported and recorded for future reference.
It's 3 separate technologies, the story just elaborates on Vivotek..
 
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Interesting article on the human takeover of autonomous vehicle when it's deemed an emergency.

 
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Sirod69

bavarian girl ;-)
Has anyone got bath towel ready for tomorrow?
1693166851808.png

one should be prepared for anything



Edge Impulse

Did you miss last week's
@BrainChip_inc
livestream? Watch it on demand now for a deep dive into the company's Akida hardware along with a framework for designing ML models using Edge Impulse.

 
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Townyj

Ermahgerd
View attachment 43143
one should be prepared for anything


Edge Impulse

Did you miss last week's
@BrainChip_inc
livestream? Watch it on demand now for a deep dive into the company's Akida hardware along with a framework for designing ML models using Edge Impulse.



Gotta love it how the Bears come crawling in saying AKD1000 is a flop, yet Edge Impulse support it and even have the occasional livestream with us.. I wonder who we should trust. Hmmmmm
 
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Rarosch

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The Future is Here: Hardware Neural Network Applications
The significance of neural networks within the field of artificial intelligence is far-reaching and is an essential component for many cutting-edge technologies and advancements. Researchers and vendors are innovating with hardware neurons to create AI systems that can learn and adapt to new and unpredictable situations and perform on-the-fly decision-making for enhanced human safety, comfort, and operational efficiency.
 
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Sirod69

bavarian girl ;-)
Gotta love it how the Bears come crawling in saying AKD1000 is a flop, yet Edge Impulse support it and even have the occasional livestream with us.. I wonder who we should trust. Hmmmmm

You Can Trust Me GIF by MOODMAN
 
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