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OpenAI's new video model is unbelievable - https://openai.com/sora | Tejas Kulkarni
OpenAI's new video model is unbelievable - https://openai.com/sora Do we still think generative AI is not going to disrupt production workflows in image, video and 3D? Times are dramatically changing. Every year is going to feel even more magical than the one before. Super excited for the...www.linkedin.com
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Seems their job ad legit then as same group it appears.View attachment 59401 View attachment 59402![]()
Started working on an R&D project in Neuromorphic Computing with Akida from BrainChip. | Vasyl Chumachenko, PhD
Started working on an R&D project in Neuromorphic Computing with Akida from BrainChip. Exploring an uncharted field is always peculiar and exciting. Any tips or tricks from the community? #NeuromorphicComputing #BrainChip #AKD1000 #TechInnovation #RnDwww.linkedin.com
Anyone seen the new Dyson hairdryer that learns a users preference - on device?
https://www.dyson.com.au/products/hair-care/hair-dryers/dyson-supersonic-nural
"It will remember your go to settings, and select your preferred heat and airflow preferences"
I wonder......
The next generation if hairdryers!![]()
What caught my eye @H2 goes up was the self learning and TOF sensor as per this article description. But unfortunately I’ve been overly excited on too many misses so this is probably another one.This is brilliant.
I reckon it's running standard AI on a CPU. The CPU fan is vented out and the dumped heat is used to dry your hair.
My foliclely challenged self is still not buy one.
No, I'll buy the akida one when it comes out and use it for a cooling fan in summer. No wasted energy there.
Cheers,
In memory of a great song, and the man who performed it,
And something BRN will make us all do, ............................
AKIDA ( make me smile ) BALLISTA
What caught my eye @H2 goes up was the self learning and TOF sensor as per this article description. But unfortunately I’ve been overly excited on too many misses so this is probably another one.
Like my hair I’m also technically challenged so without an announcement I’ll keep the cork in the champagne.
https://www.gbnews.com/tech/dyson-supersonic-nural-hair-dryer
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Anyone seen the new Dyson hairdryer that learns a users preference - on device?
https://www.dyson.com.au/products/hair-care/hair-dryers/dyson-supersonic-nural
"It will remember your go to settings, and select your preferred heat and airflow preferences"
I wonder......
The next generation if hairdryers!![]()
I'm not sure I would want to walk around nakedin front of these internet connected robots, which is where AKIDA would come in handy IMO.
Hi DB,It says "attachment learning" but it doesn't really learn, it just "remembers" the last settings when a particular attachment is fitted (which the dryer will "know" from a tab or something on the attachment).
They are trying to make it sound "smart" when it isn't really, it's just marketing.
It has a lot of sensors, but the "brain" is nothing special.
It doesn't need something like AKIDA, for what they are doing IMO.
Looks like there's more to it than I thought.Hi DB,
Their patent application refers to a generic NN:
WO2023228008A1 HAIRCARE APPLIANCE
A haircare appliance is described that comprises a body for engaging hair in use, a sensor arrangement and a control unit. The sensor arrangement is configured to output a plurality of signals, each signal being indicative of a presence of an object at a respective region of the body. The control unit is configured to determine whether the object is hair based on temporal differences between the signals.
...
In some examples, the control unit is configured to determine whether the object is hair using a trained machine learning model. For example, the trained machine learning model may be or comprise a regression model. In some examples, the machine learning model may be a trained neural network, although other trained machine learning models may be used.
This may be analog (eg, Synsense low hanging fruit) or it could be Akida. I'm pretty sure they did not develop a NN in-house.
Looks like there's more to it than I thought.
I didn't expect it to use a "trained machine learning model"..
They should probably add that into their marketing..
It still might not be Akida as we’ve heard no partnership announcements but it was the TOF detail (as well as the learning feature as that’s unique to Akida) that perked my interest as like LiDAR I’m pretty sure being able to calculate that on chip is a strength.
It was On-semi (I think) who were using TOF with their airbag scenario to identify where the human was in the seat to determine which airbag, when, pressure etc to make it a safer deployment during a collision. A hair dryer isn’t as safety critical as an airbag so it wouldn’t need the same level of certification so I thought it might be able to be commercialised quicker!
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I interpreted the sensors did the TOF calculation to determine how far the hairdryer was from the head to change the heat setting so as not to burn the hair/scalp.
Unfortunately for me; wanting it to be true doesn’t make it true…. And I’m not in a position to influence it; so I’ll wait and see!
Cheers
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That's funnyIf it has AKIDA inside, they might consider calling it The Hehir Dryer.