BRN Discussion Ongoing

[Shadow59]

THIS IS FUCKING HUGE, I CAN SMELL BRAINCHIP IN THEIR... SO POTENTIALLY BRAINCHIP IS WORKING WITH NVIDIA THROUGH EDGE IMPULSE... . WHAT A GREAT FIND MATE.

Thats how I read it too! I may just have to buy some more today! It's starting to feel real now!

 

[Damo4]

THIS IS FUCKING HUGE, I CAN SMELL BRAINCHIP IN THEIR... SO POTENTIALLY BRAINCHIP IS WORKING WITH NVIDIA THROUGH EDGE IMPULSE... . WHAT A GREAT FIND MATE.

NVIDIA TAO Toolkit​

Looking for a faster, easier way to create highly accurate, customized, and enterprise-ready AI models to power your vision AI applications? The open-source TAO toolkit for AI training and optimization delivers everything you need, putting the power of the world’s best Vision Transformers (ViTs) in the hands of every developer and service provider. You can now create state-of-the-art computer vision models and deploy them on any device—GPUs, CPUs, and MCUs—whether at the edge or in the cloud.

The NVIDIA kit looks pre-trained or am I missing something?
I skimmed the 1st half of the video and it looked like he had to build the model first using camera captures of himself/empty room

Was there something in the 2nd half that points to us?

 

[Shadow59]

Access the Latest in Vision AI Model Development Workflows with NVIDIA TAO Toolkit 5.0 | NVIDIA Technical Blog

NVIDIA TAO Toolkit 5.0 features include source-open architecture, transformer-based pretrained models, AI-assisted data annotation, and the capability to deploy models on any platform.

developer.nvidia.com

Access the Latest in Vision AI Model Development Workflows with NVIDIA TAO Toolkit 5.0​

Deploy NVIDIA TAO models on any platform, anywhere​

NVIDIA TAO Toolkit 5.0 supports model export in ONNX. This makes it possible to deploy a model trained with NVIDIA TAO Toolkit on any computing platform—GPUs, CPUs, MCUs, DLAs, FPGAs—at the edge or in the cloud. NVIDIA TAO Toolkit simplifies the model training process and optimizes the model for inference throughput, powering AI across hundreds of billions of devices.

Edge Impulse, a platform for building, refining, and deploying machine learning models and algorithms, integrated TAO Toolkit into their edge AI platform. With this integration, Edge Impulse now offers advanced vision AI capabilities and models that complement its current offerings. Developers can use the platform to build production AI with TAO for any edge device. Learn more about the integration in a blog post from Edge Impulse.

 

[Tony Coles]

The NVIDIA kit looks pre-trained or am I missing something?
I skimmed the 1st half of the video and it looked like he had to build the model first using camera captures of himself/empty room

Was there something in the 2nd half that points to us?

Work on any device, from MCUs to GPUs​

Collect data, train and validate models, and optimise libraries to run on any edge device, from extremely low-power MCUs to efficient Linux CPU targets to any NVIDIA GPU or neural accelerator.

Collaborate with ease​

Enjoy an edge AI development environment built for enterprise-wide collaboration, that enables teams with diverse expertise to collaborate from anywhere in real-time.

 

[Townyj]

The NVIDIA kit looks pre-trained or am I missing something?
I skimmed the 1st half of the video and it looked like he had to build the model first using camera captures of himself/empty room

Was there something in the 2nd half that points to us?

Can't see anything either.

 

[Damo4]

Work on any device, from MCUs to GPUs​

Collect data, train and validate models, and optimise libraries to run on any edge device, from extremely low-power MCUs to efficient Linux CPU targets to any NVIDIA GPU or neural accelerator.

Collaborate with ease​

Enjoy an edge AI development environment built for enterprise-wide collaboration, that enables teams with diverse expertise to collaborate from anywhere in real-time.

More than happy to be wrong in this case, as it would be amazing for Brainchip, but the sentence is worded as if the training is done...and THEN it works on edge devices.
This tracks with the video demo, as it built code for him.

"Collect data, train and validate models, and optimise libraries to run on any edge device"


Edit: Sorry I missed the 2nd bit you posted in bold, I would assume that's just people being able to log into Edge Impulse anywhere in the world and work on the project. Real-time means cloud which is not our niche.

 

[Cgc516]

Question ： the company keep posting the events for September. Does it mean they leave the August for shorters? The last tweet and linkin was 5days ago! What do you think?

 

[Kachoo]

More than happy to be wrong in this case, as it would be amazing for Brainchip, but the sentence is worded as if the training is done...and THEN it works on edge devices.
This tracks with the video demo, as it built code for him.

"Collect data, train and validate models, and optimise libraries to run on any edge device"


Edit: Sorry I missed the 2nd bit you posted in bold, I would assume that's just people being able to log into Edge Impulse anywhere in the world and work on the project. Real-time means cloud which is not our niche.

Correct me if I'm wrong but edge device can still operate on the edge be efficient and have connectivity for software upgrades and tweeks.

Basicly when the sensor is processing it's exclusive but can be interfaced with the net.

 

[Cartagena]

Correct me if I'm wrong but edge device can still operate on the edge be efficient and have connectivity for software upgrades and tweeks.

Basicly when the sensor is processing it's exclusive but can be interfaced with the net.

Correct it can have an interface with the net to enable it. People shouldn't be drawing conclusions on if it is or isn't Brainchip but our IP is used by Edge Impulse so it is a very big IS IT???

 

[Damo4]

Correct me if I'm wrong but edge device can still operate on the edge be efficient and have connectivity for software upgrades and tweeks.

Basicly when the sensor is processing it's exclusive but can be interfaced with the net.

Correct it can have an interface with the net to enable it. People shouldn't be drawing conclusions on if it is or isn't Brainchip but our IP is used by Edge Impulse so it is a very big IS IT???

Yeah I know it can, that's not my point, I was responding to the "collaboration in real time" part.
The models look to be trained using the NVIDIA toolkit, then built for edge devices.
That's explicit and isn't drawing a conclusion based on a guess.

Anyway it doesn't matter, if you guys want to speculate and buy shares based on that feel free. For me this has nothing to do with Akida, which is fine.
It is good however that it's involved with Edge Impulse as they are obviously a valuable Ecosystem Partner for Brainchip.

 

[IloveLamp]

"We see companies like Nvidia more as partners than competitors " - Rob Telson

I am not concerned, rather excited.

 

[Tony Coles]

Yeah I know it can, that's not my point, I was responding to the "collaboration in real time" part.
The models look to be trained using the NVIDIA toolkit, then built for edge devices.
That's explicit and isn't drawing a conclusion based on a guess.

Anyway it doesn't matter, if you guys want to speculate and buy shares based on that feel free. For me this has nothing to do with Akida, which is fine.
It is good however that it's involved with Edge Impulse as they are obviously a valuable Ecosystem Partner for Brainchip.

Back to the drawing board. i go… just can’t leg go that NVIDIA is getting all the attention from the AI perspective.

 

[supersonic001]

https://www.linkedin.com/posts/brai...Re?utm_source=share&utm_medium=member_desktop

 

[Bravo]

 

[Jimmy17]

Referring to the recent graph posted here showing the decreasing share price chart, and the bar chart showing an increase in institutional ownership, can somebody explain how this can occur without collusion and fraud. If they are buying and selling to each other on a daily basis, there must be some coordination between the parties to enable them to keep the price down, accumulate vast amounts of stock, and make extra money the whole time by making small margins on hundreds of trades. It doesn't make sense that this can happen in a legitimate (lawful) manner.

 

[Cartagena]

https://www.linkedin.com/posts/brai...Re?utm_source=share&utm_medium=member_desktop

Looking View attachment 40766

Referring to the recent graph posted here showing the decreasing share price chart, and the bar chart showing an increase in institutional ownership, can somebody explain how this can occur without collusion and fraud. If they are buying and selling to each other on a daily basis, there must be some coordination between the parties to enable them to keep the price down, accumulate vast amounts of stock, and make extra money the whole time by making small margins on hundreds of trades. It doesn't make sense that this can happen in a legitimate (lawful) manner.

It is what instos do. They have buying power. Yes not fair on the retail but it is what it is. Perfect example take todays price action seems that instos continue to accumulate in big numbers at 35.5 and we may see the 36 cleared and cycle goes on. Shorts will also be buying to close positions simultaneously

 

[Dozzaman1977]

MEGA WOW. CAN THIS GET ANY MORE CLEARER!!

NO

 

[Mt09]

MEGA WOW. CAN THIS GET ANY MORE CLEARER!!

 

[Bravo]

MEGA WOW. CAN THIS GET ANY MORE CLEARER!!

 

[Bravo]

Hmmm...


July 25, 2023

CVNet is first customer to leverage new innovation from Cerence for smart home control​

BURLINGTON, Mass., July 25, 2023 (GLOBE NEWSWIRE) -- Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced a suite of low-footprint AI products designed specifically for Internet of Things (IoT) applications. Built to meet the diverse needs of customers, Cerence Audio AI Lite and Cerence Input AI Lite bring the power of Cerence technology to products where only a small footprint is possible, particularly relevant for IoT products like CVNet’s smart home devices, the first products to leverage this new offering from Cerence.​

An addition to Cerence’s product portfolio, this low-footprint product suite expands the company’s reach and unlocks new opportunities in new markets. The offering empowers IoT device manufacturers to leverage industry-leading technology from Cerence regardless of platform size and configuration or resource constraints. Based on proven solutions deployed broadly and worldwide by leading automakers and mobility OEMs, Cerence’s lite solutions, designed specifically for the IoT, are model-trained with plentiful, high-quality, domain-specific field data. Initial offerings include:

• Cerence Audio AI Lite cleans up audio input from the user by removing non-speech noises like echo, reverberation, and unwanted noise, enabling the device to hear the user’s questions and commands clearly to deliver the most ideal result.
• Cerence Input AI Lite supports both wake-up word and conversational speech recognition, enabling device activation, understanding, and personalization throughout user-device interactions. The wake-up word can be predefined, or customized by the user in appropriate cases.

“Cerence’s new, lite solutions deliver the best balance possible between system performance and resource consumption,” said Nils Schanz, Chief Product Officer, Cerence. “With these scalable, flexible, and customizable solutions, we are empowering manufacturers across the IoT to leverage industry-leading Cerence Audio AI and Input AI to enhance the user experience for their product – regardless of platform constraints.”
Cerence’s low-footprint solutions can be leveraged across varying types of devices, including smart home, earbuds and hearing aids, and professional and office productivity products. For example, CVNet will deploy Cerence’s low-footprint suite in its smart home devices for the Korean market, leveraging Cerence technology for wake-up word and command input in Korean.
To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.

About Cerence Inc.
Cerence (NASDAQ: CRNC) is the global industry leader in creating unique, moving experiences for the mobility world. As an innovation partner to the world’s leading automakers and mobility OEMs, it is helping advance the future of connected mobility through intuitive, AI-powered interaction between humans and their vehicles, connecting consumers’ digital lives to their daily journeys no matter where they are. Cerence’s track record is built on more than 20 years of knowledge and 475 million cars shipped with Cerence technology. Whether it’s connected cars, autonomous driving, e-vehicles, or two-wheelers, Cerence is mapping the road ahead. For more information, visit www.cerence.com.

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