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uiux

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Makeme 2020

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Smart faucets? How AI is changing the way we think about water in our home.

Innovation in sensors and artificial intelligence are making home water systems greener, safer, and more efficient. But at Moen, high tech does not preclude high design.​

BY FASTCO WORKS
Ask someone how artificial intelligence drives smart home technology, and they will likely mention interactive voice assistants. Cueing music and lighting on command are certainly innovative, attention-grabbing features. But as Mason Hall, director of marketing, smart water technology, at Moen, puts it, machine learning is the unsung hero of AI.

Machine learning looks for patterns in data and uses it to draw conclusions; once the algorithm gets good at drawing the right conclusion, it applies that “knowledge” to new sets of data to increase accuracy and performance. Hall points to the Flo Smart Water Monitor and Shutoff, a core component of Moen’s whole-home smart water ecosystem, known as the Moen Smart Water Network, as a prime example: The innovative shutoff system monitors and protects one’s home by automatically stopping water at the home’s main supply line when it detects a leak. Its existence—like all Moen Smart Water Network technology—stems from providing an innovative solution to a critical problem. The problem in this case: Families suffer catastrophic water damage more often than fire and theft, combined—seven times more likely, to be exact. That inspired the creation of a “smart” shutoff valve that continuously monitors water pressure, flow rate, and ambient temperature using sensor technology. The innovative solution? The Flo Smart Water Monitor and Shutoff.

HOUSEHOLD SOLUTIONS

The Flo Smart Water Monitor and Shutoff anchors the Moen Smart Water Network for the entire house, gauging the volume of water at the main and tracking where it is subsequently used. Its ability to monitor whole home usage and proactively react to any leaks provide peace of mind, an ever-increasing value to homeowners, particularly those living in regions of water scarcity. From there, Hall notes, the benefits of the Smart Water Network “fishbone out to the entire house” through a portfolio of Moen products that provide added functionality and features, given that “water’s an integral aspect of almost any room.”
Take the Smart Faucet with Motion Control, where the objective is to improve how you interact with water in your kitchen. Sensor technology enables hands-free control with the wave of one’s hand—including temperature control. Additional functions—enabled by voice assistant technology and a smartphone app—include setting the precise temperature and dispensing the exact amount needed for cooking and baking. Hall says it has influenced human behavior by changing how people interact with their faucet, as many no longer even use the handle.
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Then there’s showering, which consumes the most water in a typical household aside from flushing toilets. Hall notes that the Moen Smart Shower system encourages conservation by warming the shower to your desired temperature, then pausing the water flow until you’re ready to get in. However, it is primarily about elevating the act of showering itself. “A homeowner can preset temperatures and preferred fixture use for their shower so they get a perfect shower experience with a touch of a button, providing a spa-like experience,” he says. “And the system will maintain an exact water temperature—no adjusting needed.”
Moen Smart Leak Detectors provide further benefits. These stand-alone devices can be placed anywhere potential water issues might occur outside the pipes, from laundry room leaks to attic roof damage. Should one, for instance, detect water on the floor near a toilet, it will not only alert you, but also automatically notify the Smart Water Monitor and Shutoff to stop the water flow in the house. “At its core, the Moen Smart Water Network allows homeowners to see, understand, and control the water that’s in their walls,” Hall says. “So now your house is even more protected.”

“DESIGNING FOR WATER”

Hall likes to say that Moen is “designing for water” and that this singular focus means they’re constantly striving to improve the user experience with it. Yet, he maintains, the industry “hasn’t truly innovated around water in a hundred years” to bring real solutions to major problems—until now. And that’s where he sees great opportunity to apply machine learning, knowledge, and design.

For instance, Moen has released a series of products that not only are smart on their own, but also take machine learning to the next level when working together. For example, if a homeowner has both a Smart Water Monitor and Shutoff and a Smart Faucet, the new Burst Protect functionality will stop the flow of water at the main water supply if it senses freezing temperatures, while the faucet purges water from pipes. Meanwhile, Health Protect will detect if water has sat stagnant for an extended period; if so, it will run for two minutes hot and two minutes cold (per CDC guidelines) to alleviate potential bacterial buildup and water-borne diseases in the pipes.
At the end of the day, Hall understands that customers don’t want to sacrifice design for the sake of technology. That’s why Moen is committed to offering their smart fixtures in a variety of designs and finishes to suit varying tastes. For instance, the Smart Faucet comes in more than 15 different styles, and Motion Control technology is available on select models. And a handful of models are even designed without a handle entirely. “We take much pride in the elevated style of our faucets and fixtures,” Hall says. “In some products today, the technology can be intrusive. At Moen, we make sure that the consumer never has to trade style for smart.”
 
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Boab

I wish I could paint like Vincent
Unity’s operating system will link all of Mercedes-Benz vehicles to the cloud and with the Internet of Things and comprise of four main areas: powertrain, autonomous driving, infotainment, and body and comfort systems.

To be fully autonomous they will have be prepared to move away from the cloud?
 
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What I love about this, and, this is something that has been staring me in the face the whole time but I have overlooked until now. Is the use of the phrase “model year 2024” for the introduction of the new OS

Model years used by manufacturers do not follow calendar years and more often than not new model year vehicles are launched in the later half of the year prior.

Further description here-

What this means is that we could see Mercedes being sold with the new OS as early as Mid next year!

Big revenue is coming and perhaps sooner than we think!
 
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If ARM was an arm, BRN would be its biceps💪!
Unity’s operating system will link all of Mercedes-Benz vehicles to the cloud and with the Internet of Things and comprise of four main areas: powertrain, autonomous driving, infotainment, and body and comfort systems.

To be fully autonomous they will have be prepared to move away from the cloud?

Hi Boab, the operating system will embrace the best of both worlds so to speak, both edge to cloud. The most exciting thing of all is that this system has already been previewed, with much success and adulation, in the Mercedes Vision EQXX concept car, which was brain-powered by AKIDA.🥳





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Makeme 2020

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What I love about this, and, this is something that has been staring me in the face the whole time but I have overlooked until now. Is the use of the phrase “model year 2024” for the introduction of the new OS

Model years used by manufacturers do not follow calendar years and more often than not new model year vehicles are launched in the later half of the year prior.

Further description here-

What this means is that we could see Mercedes being sold with the new OS as early as Mid next year!

Big revenue is coming and perhaps sooner than we think!
Good piont Okeydokey01: also if it was mid next year Manufacturing of the vehicles would have start beginning of next year. Massive revenue potentially.......Quietly Waiting.
 
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jtardif999

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“Better” is open for interpretation. I’d say different and limited. It seems to be a chip that can be trained to do a specific task in a way that is generally acceptable to call it AI. Not in my opinion, but seemingly accepted by many others. But then I could do the same in a sequential programmimg language also. No AI need be involved.

For each pixel
if( pixel changes from previous state) then
do something
end if
Store current pixel state for next iteration
end loop

A couple of things that stood out for me were:
1) “GrAI VIP can handle MobileNetv1–SSD running at 30fps for 184 mW, around 20× the inferences per second per Watt compared to a comparable GPU”

Comparing it to a power-hungry GPU is a bit naughty. Everyone knows they are power hungry and anyway, GPUs don’t do inferences per se—just sledgehammer, power hungry, high level maths. Well considering multiplication to be high level that is.

Akida has helped achieve 1000fps and uses µW


2) it uses 16 but floating point in calcs. That would be compute intensive.


3) the system can be trained, but I saw nothing about it learning.

and
4) it seems very specific to processing images only. Although they do also mention audio, bit their example is only for video.

IMHO it seems like they are closer to a normal, and single tasked, CNN and are using the word neuromorphic in a very loose manner. Pretty much just as a buzz word—probably to get search engines to find the article. Sure they call things neurons, but so to do many other implementations call memory cells neurons, and call what they have neuromorphic.

As @jtardif999 stated, they don’t mention synapses, and I don’t accept that if you have neurons, then synapses naturally follow. They should, in a true neuromorphic implementation, but so many are using that term for things that are very loosely modelled on only part of the brain.

As an example I refer to ReRAM implementations of “neuromorphic” systems. They store both state and weight in memory cells, and use the resistive state of memory cells to perform analogue addition and multiplication. But I think all such “neuromorphic” implementations suffer the same limitation of not being able to learn, they can only be trained. And once trained for a task, that is the only task they do until re-trained. And if that is all you want, then is your definition of “better”.

This raises a VERY relevant question, is Akida too good. The world has time-and-time again gone with simple to understand, and simple to use solutions, over complex multi-faceted solutions. The world especially likes mass-produced widgets that do a required task well-enough. Some of these other “neuromorphic” solutions may prove to be just that. People seem happy to throw money multiple times at an inferior product rather than pay extra for the product they really need.

There’s enough room in the TAM for multiple players. I’m happy for Akida to occupy the top spot, solving the more difficult problems, and leave the more mundane to others.
Great post, as for is Akida too good - I think the CNN to SNN automated conversion Akida offers has allowed it to be readily accepted into the DL community. You can’t argue much with being able to take CNN trained models into the sparsity of SNN and finish up with something that is best in class for SWaP and allows continued improvement via on chip learning. That’s a great selling line imo.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Not jumping to any conclusions ;) but this is what comes up on Unity's Partners page on their website.

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Screen Shot 2022-08-13 at 11.04.02 am.png
 
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Bravo

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

Microsoft Strengthens Cooperation With Unity Technologies, Expands Game Design Toolset​


Published by: Insights Desk Released: Aug 10, 2022



Highlights:
  • Unity will use Microsoft’s Azure cloud service to power its production of real-time 3D experiences, which can apply not only to the development of video games but also to other industries that require real-time simulations.
  • Microsoft is actively working with the developers of two of the most popular game design toolsets, Unreal and Unity, to bring more independent studios into the publishing game.
The company responsible for creating one of the most widely used game development toolkits has agreed to use Microsoft Azure as its official cloud partner.
Unity Technologies, headquartered in San Francisco, is best recognized for its eponymous licensed game engine. Since 2008, Unity has been one of the most popular options for game development among hobbyists, amateurs, and professionals.
Although it is not the most prominent announcement to come from Microsoft’s games division, the company has made several bets, both throughout the history of the Xbox project and in recent months, that are aimed at expanding the overall accessibility of game development. The bets include the following:
Even if you’re not familiar with the software, most likely, you’ve already played at least one game that was developed using Unity. PowerWash Simulator, V Rising, Tunic, Raft, and Nickelodeon All-Star Brawl are some famous examples from this year’s release calendar.

As per the new agreement announced on the Microsoft blog, Unity will use Microsoft’s Azure cloud service to power its production of real-time 3D experiences, which can apply not only to the development of video games but also to other industries that require real-time simulations.
At least on paper, this enables smaller software developers to gain easy and affordable access to high-powered machines and pricey programs by using the Azure cloud service.
This agreement also serves to strengthen an existing partnership between Unity and Microsoft. That partnership was established to make it simpler for developers who use Unity to publish its games on the Xbox platform and personal computers.
Sarah Bond, Microsoft CVP of game creator experiences and ecosystem, said in a press release, “With this agreement, Microsoft and Unity are coming together to empower creators and make it easier for them to bring their games to Xbox, Windows PC, or into virtual worlds on other platforms.” Marc Whitten, former Xbox executive and Unity senior Vice President — added: “We believe the world is a better place with more creators in it, and we know this is a conviction Microsoft shares.”
This comes after the debut of Microsoft’s ID@Azure toolset alongside the Azure Game Development Virtual Machine in March, which offers similar benefits to developers working with different toolsets such as the Unreal Engine.
Microsoft is actively working with the developers of two of the most popular game design toolsets, Unreal and Unity, to bring more independent studios into the publishing game. ID@Azure covers Unreal, and the company recently reached an agreement with Unity.
 
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If ARM was an arm, BRN would be its biceps💪!
An article form January, Lockheed Martin announced that it has teamed up with Amazon and Cisco to add human-machine interface technologies to the National Aeronautics and Space Administration’s Orion spacecraft, which was built to take humans farther out in space than they have ever gone before. The collaboration has resulted in a new technology, christened, “Callisto".


Screen Shot 2022-08-13 at 11.34.05 am.png

 
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I don't think I've previously seen mention on here of the new Siemens smart enose refrigerator. I haven't seen any specifications yet as there's only limited information available but it looks interesting:

2022-06-02 16:22:00

Recently, Siemens Home Appliances and Suning Tesco unveiled the innovative Siemens intelligent eNose refrigerator in Hangzhou Moganshan Naked Heart Valley, and made an exclusive debut at Suning Tesco, thus opening a new era of fresh life.


At the press conference, Wang Yupeng, vice president of BSH, took the lead in delivering a speech to share. He said, "Based on the continuous upgrading of users' demand for quality of life, but also in line with the trend of high-end home appliances in the industry, we launched this new refrigerator, which takes the intelligent preservation technology of precise temperature control as the cornerstone, takes the spirit of Ashkenazi Seiko as the standard, and maintains the multi-dimensional storage space of wine, beauty products or other best products, and has a smart eNose system, which can achieve real-time monitoring, timely warning, synchronous sterilization and sterilization, which greatly enhances the intelligent operation of the refrigerator, which is also a point that we are proud of." ”

As an innovative product of Siemens home appliances, the new Siemens smart eNose refrigerator is equipped with the industry's first intelligent eNose system, which can monitor the odor of more than 100 kinds of food 24 hours a day. It can monitor the freshness of food in the refrigerator for 24 hours, and can remotely warn bacteria, odors and other issues in advance, and automatically open the antibacterial program to purify and sterilize, effectively purify more than 90% of food spoilage and odor and remove more than 99.9% of bacteria and viruses, and carefully protect the dietary safety of consumers. In order to demonstrate the powerful preservation and purification function of the eNose system, the exclusive launch site also showed the status of ingredients stored in the refrigerator for one week. In the on-site tasting competition, the staff showed that the ingredients did not find any difference from the purchased ingredients in terms of appearance or taste, even if the perishable and moldy strawberries, after the intelligent blessing of the eNose system, they were still bright and delicious after 7 days.


This Siemens eNose Refrigerator has “ The sense of smell ” The ability of VOC Sensors are its core product force .


2022 a Breakthrough Year for AI​

By Peter van der Made, co-founder and CTO, BrainChip
Here is what I and my colleagues in AI expect to see [this year]:
4. AI will become more commonplace in everyday products; refrigerators that can smell if any food is about to go off to prevent food poisoning,
 
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uiux

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An article form January, Lockheed Martin announced that it has teamed up with Amazon and Cisco to add human-machine interface technologies to the National Aeronautics and Space Administration’s Orion spacecraft, which was built to take humans farther out in space than they have ever gone before. The collaboration has resulted in a new technology, christened, “Callisto".


View attachment 14049

Interesting content


I think you are wasting your efforts tho Bravo if you aren't organising your research in threads , imo, tbh, imho, tbph, lol
 
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Taproot

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Bravo

If ARM was an arm, BRN would be its biceps💪!
Wow! . British company Go Games says they have developed ground-breaking AI with highly sophisticated AI voice assistant that THAT CAN LEARN on a £399 Gameboy-like device and it runs on Android???? It's called the TRDR Pocket 'Series 2'...


Looks like the TDR Pocket runs on a MediaTek Helio P60 CPU which has 4x big ARM Cortex-A73 cores and 4x small and power efficient ARM Cortex-A53 cores in two clusters (bigLITTLE).

HOW DID THEY GET IT TO LEARN?

Screen Shot 2022-08-13 at 11.51.26 am.png




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Diogenese

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@Slymeat,

For the Weebit fanciers:-

Some found facts re hybrid analog/digital NNs:

https://www.mdpi.com/2674-0729/1/2/8/pdf?version=1660304162

This paper is about self-healing Analog Front End (AFEX) and Spiking Analog Front End (SAFEX) in hybrid (analog/digital) NNs.

Akida gets a gurnsey in Fig 3 (p. 86) as an example of Spike-Based Processing, juxtaposed with Conventional Digital Processing (a microprocessor).

It also mentions Akida in passing in footnote 9 (page 84), but just bundles it in with other chips like Loihi, True North and Cerebra's wafer-sized SoC.

Of particular interest is the discussion on self-healing circuits on page 84:

"However, it must be remembered that technical systems do not have a metabolism and observed regrowth of lost cells, tissues, limbs, or even a whole entity in, e.g., axolotl salamanders or planarians, and can, as of yet, only be rivaled to the extent of the redundancy supplied at manufacturing time."

This is something which could be done fairly easily with Akida. The beauty of Akida's use of identical NPU's and nodes and the inter-node communication matrix is that, if sufficient redundant nodes were provided, the configuration MCU (Cortex) could be programmed to test the nodes and provide a detour to good nodes in the event of a node failure. It would "simply" require a reprogramming of the dud node's address to an available redundant node's address and consequential assigning of weights.

For AFEX, the paper discusses the use of a current feedback in amplifier (CFIA) circuit (Fig 8). The 3rd last par on page 91 discusses some f the problems of inaccuracy with analog CIFAR circuits.

From the closing paragraph (p.112), it does not appear that this project will bear fruit any time soon.

PS: As a child, I was fascinated by axolotls.
 
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Boab

I wish I could paint like Vincent
This is the one.


I actually asked about AKD2000 in this and Ken Scarince answered.. what's the URL for this?
How did FMF's grab come out opposite to the webpage? Just me being anal😁😁
Server 2.jpg
Server.jpg
 
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Bravo

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


I think you are wasting your efforts tho Bravo if you aren't organising your research in threads , imo, tbh, imho, tbph, lol

Well I thought about doing that but I don't really want trip the thread-overloadometer and crash the whole website.🤭
 
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