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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! :p

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,
 
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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,
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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In memory of a great song, and the man who performed it,

And something BRN will make us all do, ............................ :cool:




AKIDA ( make me smile ) BALLISTA

One of my favorites. Sad to hear that Steve Harley passed away 😢
 
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HopalongPetrovski

I'm Spartacus!
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I'm not sure I would want to walk around naked 🩲 in front of these internet connected robots, which is where AKIDA would come in handy IMO.




 
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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! :p

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.
 
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I'm not sure I would want to walk around naked 🩲 in front of these internet connected robots, which is where AKIDA would come in handy IMO.





From 22 seconds, the Isaac Lab Sim they developed, looks more like Robot Hell! 🤣

Here, see how you go with this one GROOTs 😛

20240319_155938.jpg

🤣
 
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Diogenese

Top 20
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.
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.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Well, we know Mercedes needs us for their cars, so it might not be too long before Apptronik needs us in their robots. Apptronik's also collaborates with our friends at NASA.










Screenshot 2024-03-19 at 5.33.36 pm.png

Screenshot 2024-03-19 at 5.34.46 pm.png
 
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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..
 
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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!

1710832169326.png


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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IloveLamp

Top 20
Apologies if posted already

1000014300.jpg
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1000014304.jpg

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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!

View attachment 59418

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

🤞


If it has AKIDA inside, they might consider calling it The Hehir Dryer.
 
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MegaportX

Regular
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Diogenese
Thank you for that post. I was not in the mind space of thinking we pulled our production of the V2 chip because a big player or multiple may have requested we don’t.

So if that is so, Tech’s prediction of some serious announcements prior to Dec may be on the money.

I would predict we see more $1m fees and associated announcements for new comers unless Megachip are behind it. Or an adjustment to Renesas licence if they have stepped up.

Yip interesting times ahead. Let’s hope this Aussie battler company helps a whole heap of Swiss, German, Aussie and other nationalities TSE holders rise from battlers to at least Captains and in some members cases Ogliarch’s cruising the open seas.

May Peter’s vision translate to our good fortune. 💙

Just a subtle adjustment in getting the term right - Oligarch , to be sure …….👍

Dictionary
Definitions from Oxford Languages · Learn more

noun
  1. a small group of people having control of a country or organization. (In our case)
    • a country governed by an oligarchy.
      "he believed that Britain was an oligarchy"
    • government by an oligarchy.
 

Bravo

If ARM was an arm, BRN would be its biceps💪!
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Is anyone a subscriber to The Fortune as this article is behind a pay wall?

Intel + AI + power consumption - should be an interesting read.



View attachment 59423

Intel’s new chip foundry for the AI age builds on CEO Pat Gelsinger’s mission to establish sustainable supply chains​

Fortune
DIANE BRADY, NICHOLAS GORDON
March 19, 2024 at 4:24 PM
5c3ec832b29e01a218aa722d693f1889

Good morning.
There can be no discussion about the growth potential of AI without attention to the energy needed to power that increased capability and adoption. The International Energy Agency estimates that global electricity demand from data centers could double from 2022 levels in the next two years—roughly equal to Japan’s total energy consumption.
Exhibit A is Nvidia’s H100 graphics processing unit (GPU) chip, each of which consumes more energy than the average U.S. household in a year. Yesterday, CEO Jensen Huang unveiled an even bigger and faster superchip. While the price per chip will go up, Huang said the overall energy cost will go down. To get to where the industry needs to go, there’s a good chance Nvidia will need to increasingly rely on its frenemy Intel.
Intel, which trails Nvidia in the chip-making race, last month launched a foundry to make chips for others, much like TSMC.
For those who care about sustainability, that could be a very good thing. Intel has long been a leader in sustainable semiconductor manufacturing; Intel’s name comes up a lot in conversations about renewable energy use and carbon emissions. With partners like Siemens and rival chip designer Arm, Intel Foundry could pave the way to a much more energy-efficient supply chain for the AI era—including for potential clients like Nvidia.

I spoke with Intel CEO Pat Gelsinger ahead of Intel’s first Sustainability Summit, which kicks off today in Santa Clara, Calif. “There are three words that I care about: resilient supply chains, sustainable supply chains, trusted supply chains.”
Does sustainability rank as high for Gelsinger as, say, resilience? Well, no. After all, energy needs are both a challenge and an opportunity as companies like his race to keep up with demand. “I believe most data centers will be fundamentally power-limited for the rest of the decade,” says Gelsinger, noting that leaders are already worried about having access to enough power, green or not. As evidence, he cites the anxiety of utility operators that are coping with unforeseen demand from data centers and the growing appeal of power-rich destinations like the Middle East and Iceland as places to build capacity.
With that kind of geographic arbitrage and the transformative power of AI, Gelsinger notes, there must be a business-wide focus on building a sustainable high-growth industry. Ergo, the need to convene policymakers, customers, rivals, scientists and partners to discuss the innovation, collaboration, and policies needed to get things done. As he puts it, “30 years of bad policy in the U.S. and Europe doesn't get fixed with one three-year bill.”
Cedrik Neike, CEO of digital industries at Siemens, says the foundry partners are trying to build a sustainable design process that meets everyone’s needs. “Sustainability is on everybody’s agenda. Europe is a very regulated environment. The U.S. is working much more around incentives. We’re trying to build something that works for regulations and incentives.” And they’re adapting the blockchain system developed by the food and beverage industry to add another key ingredient: Trust.
Diane Brady
 
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