BRN Discussion Ongoing

[Fullmoonfever]

Another potentially interesting one.

Might notice some common well known items in there

Ceva’s speech recognition now runs on Texas Instruments’ wireless MCUs | Edge Industry Review

WhisPro speech recognition and control software will be available for Texas Instruments SimpleLink Wi-Fi CC3235 wireless microcontroller family.

www.edgeir.com

Ceva’s speech recognition now runs on Texas Instruments’ wireless MCUs
Nov 18, 2022 | Abhishek Jadhav
CATEGORIES Edge Applications | Edge Computing News | Hardware
Ceva’s speech recognition now runs on Texas Instruments’ wireless MCUs
Ceva Incorporation, a wireless connectivity and smart sensing solutions provider, has announced that its WhisPro speech recognition and control software will be available for Texas Instruments SimpleLink Wi-Fi CC3235 wireless microcontroller family.

This collaboration provides users with a more straightforward and hands-free way to interact with and control wearables and devices in smart homes, factories, automobiles, medical settings and other environments.

This collaboration between Ceva and Texas Instruments means that its consumers can use a voice user interface to connect with and manage wearables and endpoint devices for multiple purposes, including smart homes, factories, medical healthcare, etc.

“With exceptional performance and the capability to customize the model to each customer’s requirements, the hardware offering from Texas Instruments, when paired with our software, will enable our mutual customers to deliver high performance, cost-efficient solutions for voice-enabled IoT endpoints and devices,” stated Chad Lucien, vice president and general manager of the sensing and audio business unit at Ceva.

WhisPro software development kit, when integrated with TI’s Wi-Fi wireless MCU, allows engineers to add speech recognition capabilities to IoT devices. The company says that the ability to use wake words and speech commands gives them the flexibility to control the endpoint devices easily. WhisPro software supports multiple wake words in parallel, including AI assistants and custom wake words in various languages.

Ceva’s WhisPro speech recognition and control software supports up to 30 tailored commands to meet specific industry requirements depending on the targeted applications. This solution is optimized for the Arm Cortex-M4 processing, offering low latency and minimal power usage.

“Across the entire IoT landscape, voice control is becoming a must-have feature for many devices and applications, from wearables to white goods.,” said Naomi Heller, the manager of Wi-Fi connectivity products at Texas Instruments. “Our collaboration with CEVA ensures engineers using our proven and reliable SimpleLink Wi-Fi wireless MCUs have access to a voice user interface to address these exciting use cases.”

WhisPro is an AVS-certified neural network-based keyword-spotting software package targeting voice control for intelligent cloud-based services and edge devices. According to Ceva, the WhisPro software has a high recognition rate and low false acceptance rate operating on-device.

Recently, the company unveiled PentaG-RAN, an Open RAN platform for base stations and radio. The solution aims to reduce entry barriers for enterprises exploring business opportunities in the Open RAN equipment market.

 

[Stockbob]

Was just having a look at this paper again and found the full original which is attached for anyone to have a look at.

Appears some promise in the project but still work to do to refine.

One thing I did pick up is that with the Cyber-Neuro RT project, which we were also being utilised in from memory, the Authors note they now have access to the INRC (11), presumably to compliment the project research with Akida?

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Terrific find !! as you said much work to be done. Am i reading too much into this or have DHS literally said they are an EAP or does association with NASA preclude association with every US gov agency.

quoting from the paper "Neuromorphic processors implement CNNs with dramatically reduced size, weight, power and cost (SWaP-C) compared to GPU versions. Here we describe converting the 3D CNN into a format that can be run on neuromorphic platforms. We had early access to BrainChip’s software developer kit (SDK) and simulator thus we focused our efforts Kyung Chae Park et al. / Procedia Computer Science 213 (2022) 486–495 491 6 / Procedia Computer Science 00 (2022) 000–000 on this"

 

[Fullmoonfever]

Thanks @Fullmoonfever ,

"Charting & Fundamentals go hand & hand imo.

Charting imo is essentially a visual representation of how the mkt (buyers / sellers) react at certain levels, with certain news flow, released or perceived / known as coming. Explosive moves (like Merc) obviously happen when unexpected...good or bad.

A lot of people try to think it is forward looking crystal ball dark magic stuff haha...but basically to look at a chart....LOOK LEFT then RIGHT.

It is not an exact science as it is dealing with human emotions (other the effing bots) and other variables, like Mkt Makers painting the tape etc.

Human nature being what it is, if you can identify certain moves or reactions left then can start to draw some probabilities for current / future situations.

So, a few charts D & a Wkly (couple posted prev) and I've tried to provide some basic info on the indicators and if you look at all then you can start to see certain levels / areas across all.

Higher 70's / 80 as pointed out the other day, around 90 next up etc.

Remembering supply vol comes from sellers & buyers either need hold a level & absorb then move up or if the smart money are in, then they may be able to assist push through supply.

Simplest charting to learn & is worthwhile imo is supp / resist, trendlines, moving averages (common) & maybe some basic patterns like channels, flags / pennants & triangles. General rule is prev support can become future resist & vice versa."


Really appreciate you taking the time. I think your quotes above are great advice. I made some bad trades a few years back, got overconfident and maybe a bit lazy. Thankfully not a lot of money but it was the reality check I needed. Learned the basics on charting after that and have used them ever since. Markets are a jungle, you need every tool at your disposal to survive.

Welcome and glad got something from it.

Agree....more tools in the shed the more prepared imo.

Even the basics as you say can help if combined with FA.

 

[thelittleshort]

Swipe to know more! | Tata Consultancy Services - Research | 14 comments

The evolution of technology and artificial intelligence requires computer systems capable of processing large amounts of data from multiple sources in near real-time while consuming less energy. However, energy efficiency continues to be a concern in traditional computing technologies. Brain...

www.linkedin.com

 

[Fullmoonfever]

@Fullmoonfever

This is a terrific find and having read the paper the following table makes clear the AKIDA technology advantage. Traditional Von Neumann deep learning CNN from Nvidia cost $30,000. AKIDA science fiction $50.00 estimated.

Which technology provides an opportunity to have hand held devices proliferate? Seems pretty clear to Blind Freddie.
My opinion only DYOR
FF

AKIDA BALLISTA

View attachment 23120

Ummmm...just noticed something on that table as well.

For Akida it's in USB key form factor

 

[David holland]

I too talked with Tony about the weather. I asked if the skies are clear, he said they are more than clear - they are sunny, sprinkled with sprites and framed with a glorious rainbow.
Talking with Tony about the weather was the best part of the night.

My point is the questions would of been asked all night, the forum aren't that silly to think not, I'd be asking Tony

 

[Learning]

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Swipe to know more! | Tata Consultancy Services - Research | 14 comments

The evolution of technology and artificial intelligence requires computer systems capable of processing large amounts of data from multiple sources in near real-time while consuming less energy. However, energy efficiency continues to be a concern in traditional computing technologies. Brain...

www.linkedin.com

Wow thelitteshort,

Great find. Nice, very nice.

Arijit Mukherjee " Only Brainchip's Akida can be bought in the market. No other chips are available commercially"

And he is the Principal Scientist that's wrote the TCS white paper.

Creating Futuristic Edge Systems with Neuromorphic Computing

As AI techniques on classical processor architecture become a concern, explore neuromorphic computing to create futuristic systems with intelligence at the edge.

www.tcs.com

Learning

 

[SERA2g]

Akida in action with Renesas

Can you provide some context on how or why you think this contains akida?

 

[cassip]

Not related but I think apple spat the dummy.

https://twitter.com/Apple?s=20&t=q-BWiq2FyLTVmGbJjh_ItQ

They have deleted all their tweets?

This was probably (because of) Elon Musk…

https://edition.cnn.com/2022/11/28/tech/elon-musk-twitter-apple-app-store/index.html

 

[Fact Finder]

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Swipe to know more! | Tata Consultancy Services - Research | 14 comments

The evolution of technology and artificial intelligence requires computer systems capable of processing large amounts of data from multiple sources in near real-time while consuming less energy. However, energy efficiency continues to be a concern in traditional computing technologies. Brain...

www.linkedin.com

Great find and post @thelittleshort Do you know what was the original question he was answering?
Regards
FF

AKIDA BALLISTA

 

[chapman89]

Great find and post @thelittleshort Do you know what was the original question he was answering?
Regards
FF

AKIDA BALLISTA

Hi FF, this was the post, somebody had asked if neuralink was using neuromorphic.

Here is the link to the paper titled

“Advancing edge computing capabilities with neuromorphic platforms”​

See link here to the paper- https://www.tcs.com/what-we-do/rese...omorphic-edge-computing-embedded-intelligence

This is the paper by TATA written by these 3 below-

ARIJIT MUKHERJEE​

Principal Scientist, TCS Research​

SOUNAK DEY​

Senior Scientist, TCS Research​

VEDVYAS KRISHNAMOORTHY​

Business Development Manager, TCS​

 

[Terroni2105]

Great find and post @thelittleshort Do you know what was the original question he was answering?
Regards
FF

AKIDA BALLISTA

 

[chapman89]

View attachment 23138

Thanks for sharing @Terroni2105.

We’ve known for a while Brainchip and TATA have been working together, through the hand gesture video which Brainchip & TATA collaborated together, and also from previous interactions I’ve had with TATA earlier in the year which I shared here.
But if anybody needs more convincing that TATA is a EAP, then here it is below, this was just 10 minutes ago-

 

[Fact Finder]

View attachment 23138

Many thanks @Terroni2105

I have to say Dr. Mukherjee is so certain about Neuralink and the reason he gives for his answer indicates he subscribes to the ‘walking quacking duck theory’ where AKIDA is the only possible duck.

My opinion only DYOR
AKIDA BALLISTA

 

[Mccabe84]

Thanks for sharing @Terroni2105.

We’ve known for a while Brainchip and TATA have been working together, through the hand gesture video which Brainchip & TATA collaborated together, and also from previous interactions I’ve had with TATA earlier in the year which I shared here.
But if anybody needs more convincing that TATA is a EAP, then here it is below, this was just 10 minutes ago-

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Guess i will be buying some more shares tomorrow!

 

[Bennysmadness]

Not sure it is but it will be.

My opinion only DYOR
FF

AKIDA BALLISTA

Wtf? IT IS GARANTEED. I'll put my left nut on it!!!

 

[Fenris78]

M1. “BrainChip’s Akida IP is fully compatible with Arm’s product families.

2. System-level pre-integration accelerates evaluation and development.

3. BrainChip hardware acceleration supports real-time multi-sensor inference, and frees up the Arm CPU for improved system-level performance and unparalleled efficiency.

4. Use cases requiring integrated inference from multiple sensors exploit the benefits of Akida embedded into the Arm Cortex-M MCU.

5. For example, the sequence of presence detection, person or object identification, keyword spotting, gesture recognition are seamlessly and accurately executed with minimum computation and maximum efficiency.

6. AI enablement integrating sensor inputs improves user experience in homes, in cars, and in the real world...

7. Akida provides cost-effective, high-performance, power-efficient AI processing for edge AI devices - even those in locations where there is limited or no connectivity.

8. As part of the Arm AI Partner Program, BrainChip will enable developers to meet the need for high-performance and ultra-low power edge AI inference, unlocking new opportunities for innovation for best-in-class tools, algorithms, and applications to customers
worldwide.
● State of the art performance at μW-mW levels
● Lowest power and memory footprint
● Avoid external memory accesses, reduced bit computation
● Quantization to 1b, 2b, 4-bit
● On-chip learning & device personalization
● Fully scalable architecture
● Runs full network with no CPU dependency Supports CNN & native SNN
● Mature tools suite
● Fully synthesizable RTL”

There is so much meat on the bone I have broken it up with paragraph breaks after each sentence and added the numbering.

My opinion only DYOR
FF

AKIDA BALLISTA

This document is fantastic validation for Akida IP. It's been common knowledge that we have a partnership agreement with ARM... but to me this is the first time that I think I have seen something as commercially specific as this in writing? I've always assumed that contracts for Akida IP would be through Renesas/Megachips type deals and we would only be aware of Akida being adopted via Brainchip's financial reports. However, from this Arm ecosystem partner document, Brainchip is advertised as being available in a solution for Arm IP: Cortex M. Something that I struggle to get my head around, is why can't BRN announce the material significance of Akida being embedded in Cortex-M processors? There must be near term estimates (or possibly contracts in place) of the value of Cortex-M sales using Akida? This may all be covered under the previous partnership announcement... but with the share price floundering recently, news such as this, would provide some significant support for the share price? More patience I suppose??

 

[Fact Finder]

Ummmm...just noticed something on that table as well.

For Akida it's in USB key form factor

At the 2021 Ai Field Day when Brainchip was canvassing the ideas it had for releasing AKIDA Anil Mankar stated words to the effect that it could be released as a USB and he was asked specifically about cost and he said $49.00 to $69.00 so the $50.00 is in line with this predicted price range.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Foxdog]

El Nina is over. LaAkida is the emerging weather pattern due to hit around May 2023. It will bring large windfalls and the revenue will be flooding in. Their will be a major storm surge in the share price and the prediction is for a high pressure system against the shorters.

Be careful, it will be Hehir-y at times.

La Nina, El Nino

 

[Diogenese]

Ummmm...just noticed something on that table as well.

For Akida it's in USB key form factor

Bottle opener