Видео

Please make a kit for raspberry pi you will see mass adoption with these unit. If you want edge AI usage it has to be portable.

Has anyone attend live demo at the scene? How does Akida store the trained data and model locally?

How much are they? Can you guys work with Frigate NVR + Blue iris and it's codeproject AI to get at least the nvme, hopefully a usb (lots of us run micro pc's), but also these bigger cards if anywhere near affordable for our homelab servers. I'm guessing this one is extreme in price. Coral AI needs a bit more power, you guys seem to be the best competitor. Get something going and I reckon you'd get quite a lot of sales from home techies (our use case is object detection for up to 8 or more ip cameras, LLM's are gonna be too expensive for now). Look up home assistant too. There might be use cases in that too. Cool technology. Kudos for that.

So this is ML inference workfow on PolarFire ?

Great demo, and the presenter is very handsome!

😊

why was i recomended this at 2am? 🥕🥕🥕🥕🥕🥕🥕🥕🥕🥕

fairphone 5 uses the qcs6490 processor

Thank you form the presenter.

I get that the point was to demonstrate the board and not the software, but still, kinda embarrassing that it kept thinking that number 11 parking spot was taken because of the black line on the ground. Also, computer vision from literally 20 years ago is not that impressing anymore ;)

why did you think that chiplets processor making or sensor making would not work, instead of the higher fail rate monolithic chips.

I think Analog systems can perform image and motion processing, including calculations such as addition, subtraction, multiplication, division, and logarithms, sine and cosine according to the decomposition of Fourier columns into different functions. Faster than any digital systems as advanced as they may be. Including meter calculations and grades. and providing realistic solutions to multicollection equations.

🚀 🚀 🚀

Edge AI and Vision Alliance, amazing video keep it up bro

DISAGREE

Congratulations 🎊 I

Awesome!

Looks like the Genio 510 could help create fanless IoT devices. Quiet operation is always a plus. I think the mediatek chipset is a good one in terms of the performance!

The genio 510 is really good processor

Impressive specs on the just launched MediaTek Genio 510 too. From its powerful CPU to its versatile connectivity options, it seems it would pave the way for groundbreaking advancements in IoT and Edge AI.

They recently released the Genio 510 and its 6nm design packs a punch, offering great performance with low power consumption - perfect for battery-powered IoT devices.

Say goodbye to driver fatigue! This driver alertness tech with Dimensity Auto is a game-changer for road safety. Hearing about the AI cockpit collab for a longer time!!

Congratulations Kwabena and hope you make it to the next stage of the competition. I think you've set yourself up to be super successful by building something people really want and use in their products.

Hola me párese I interesante

Amazing work guys! Keeping this in mind when working on my next embedded + vision project! Hoping that you'll become the standard

Megusta

How to get such a ReRAM developing board?

Deep view

Tengo que hablar o leer en inglés?

Nice i think it recommendations were this embedded 😂😂 im still tripping bout you call me baboon u funny AI

can we connect to any MCU or processor?

Where can we buy these development prototype kits?

Very cool

Throw the Jetson in the trash and try the Brainchip development kit from VVDN

👍

No link to code?

hi. nice video.

Ho damn, things are going to get really crazy with these types of advancements

Which device were you E30/50/70? Does your toolchain supports easy integration of models imported from Keras, Tensorflow? I am looking for a solution that would allow me to integrate a CNN for object classification amongst other more basic functionalities of the system that wouldn't be cost-prohibitive like other solutions out there.

Can anyone share the name of the model used

Very exciting!

I have been invested for a long time. Unfortunately, I have a loss of almost 5 digits. No real information from the company what is coming. Very exhausting for shareholders. I am beginning to think that my investment was a big loss.

Nice.

Hi Shawn, May I have your schematic diagram of your connection? Regards.

so 800usec with this Ethos-U55, How much time the inference will last if we use esp32 CAM ?

Hello. Can you share images that you used in this project?

Which Image Sensor and ISP combination you are using?

nanomètre and after ? QUANTIQUE INTEGRATION