A post I made on the Rivershore forum....which is a great site to join to hang out with some nice people who focus QUIK/sensors and other potential arenas, like recent EZCH stuff.

link is here


http://rivershoreinvestmentresearch.com/forums/

PS... I do my thinking out loud in an online journal that even has a link for the curious.
Skip it unless you are really curious. I don't want readership really, a few people asked me to do it ( like 2)
so that is why its there.

https://www.blogger.com/blogger.g?blogID=7562516522401363281#trafficsourcesstats

I use it as a daybook( personal journal ) to work on this stuff and I feel free there to digress as much as time allows
looking at low yield tidbits for a nugget that might be of use. Its as much fun for me as panning for gold might be for others.
I have a great feeling when I get one...I got a nice nugget!.

My old nuggets used to be a device...we are in the QCOM MDP!
but these nuggets the past yr are much more obtuse, but are not device dependant,
or urgently time dependant. A better yield for the time spent.

I do not want readership, its a thought process for me, but that viewership which was non existent has changed:

there are a few people, from different places...all over the globe...who stop by.

Recently Russia, Asia, Brazil, etc. At a minimum it does suggest that a few people in other countries are at least aware that QUIK exists now. I will track that along
as an indicator that we just might be showing up on the radar screens of the global GEEKs? That would be pretty neat. Its small but real.

Welcome to anyone who is stopping by...the title of this blog came out of a TON of reading

a fusion of ideas from S Johnsons ideas in his great book, Where Good ideas come from.
Where he speaks of the creativity that flourishes in just tiny arenas; the coral reefs, the coffee houses, the adjacent possible.  
My own belief is that QUIK is increasingly in this coffee house, on a coral reef.  Many risks of this investment have been revoved for me.  Those removed risks are in the entry just befor this one on CES.

QUIK has moved into UI territory, with Sensory harcode audio, and inhouse gesture........huge shift.

Machine learing- Dr. Saxe did a great talk just last wk....Machine learing has a place ON THE DEVICe-  not just a cloud thing.  Equally huge.

This horse is faster, the jockey more agile than last yr., but this IS NOT at all showing at the line....
Munger might like it.

CES 2016

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   HI RC, this one is worth the time to let percolate.....
   

   "Always keep something to look forward to".
   
   What a really old person, who did not have so much time left told me.
   It has proven to be far more useful than most things and I'm glad I asked the question. Not really as easy as it sounds............
   
   For this segment of my life it is CES. Its gratifying in the BIG pic so see how
   sensors are moving more and more onto the stage- the mobile devices move into S Johnson's adjacent possible-
   of the senor fusion coral reef.
   
   Here is the invite already for the MIG/MEMS stuff.....
   
   
   
   
   Join MEMS and Sensors Industry Group® as we discuss The Internet of MEMS and Sensors at CES® 2016!
   
   The knowledge and insight changing tomorrow is here today. CES keynotes, SuperSessions and conference tracks feature the industry leaders and revolutionary thought makers creating the technology that changes how we live. Knowledge is power; CES® 2016 showcases the greatest idea generators in our industry.
   
   CES KEYNOTES feature next-generation innovators, industry leaders and visionaries sharing personal experiences and insider insights into the technologies changing our industry.
   
   Returning to the CES stage is Intel’s CEO Brian Krzanich who will share his vision of how Intel continues to shape the future. Don’t miss this dynamic keynote address taking place at 6:30 PM Tuesday, January 5 in The Venetian’s Palazzo Ballroom.
   
   More keynote announcements coming soon. VisitCESweb.org/keynotes for details.
   
   CES SUPERSESSIONS feature emerging companies and technology executives ready to share their experiences and predictions for the upcoming year.
   
   The Global Innovation session will feature business leaders and policy operators from select countries and regions discussing issues impacting economic growth and prosperity in their part of the world.
   
   CNET’s Tim Stevens and Brian Cooley explore the relationship between devices and people with a panel of linguists, artificial intelligence specialists and industry experts in the ever-popularNext Big Thing session.
   
   CEA’s president and CEO, Gary Shapiro will sit down with two government officials this year, the the Chairman of the FCC and Chairwoman of the FTC, in candid one-on-one conversations about the enormous challenges their agencies face in the rapidly changing technology landscape.
   
   CES CONFERENCE TRACKS offer a deep dive into the innovations and trends driving the $223.2 billion technology industry. Subject matter experts will discuss a wide variety of topics including lifestyle technology, startups, the top innovations set to change the industry, robotics, the future of self-driving cars, internet TV and so much more.
   
   Visit CESweb.org/conference for more details and the complete conference program.
   
    
   
   
   
   WAYS TO ATTEND
   
   Offering a variety of purchasing options, the CES conference program has something for everyone. Sample a few single sessions, get the full CES experience with the All Access Pass, or find the collection of conference tracks that work best for you.
   
   
   
   First-time attendees looking to sample what CES has to offer will find value in purchasing the CE Pass. The perfect fit for marketing, advertising and entertainment professionals is the Content and Advertising Pass. And for the most comprehensive conference experience, the ultimate value is the All Access Pass.
   
   
   
   The CES shopping cart makes it easy. Simply visit the conference tracks page, find the tracks or sessions that interest you most and add them to your cart. The shopping cart tracks your selections – if purchasing a conference pass results in a cost-savings to you, you will automatically be upgraded to that pass. To check out, login to your CES account, or register for CES, complete your purchase and you’re done.
   
   
   
       
   
   CES® 2016 JAN. 6-9
   TECH EAST • TECH WEST • TECH SOUTH
   LAS VEGAS, NV
   CESweb.org
   #CES2016
   
   

   jfieb, 36 minutes agoEditReport

   #1Reply
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   jfiebMember

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   For the $$ this is the bargain of CES, ( excluding hotel prices of course )...
   
   Everthing says this will B very, very popular for important people in the mobile arena looking to be in the right place.....
   
   

   • The Internet of MEMS and Sensors
     • Building the Connected Ecosystem for Smart Cities
     • Running through Virtual Reality
     • Reshaping Wearables with Conformal Electronic Systems
     • Wearables and Smart Sensors Advancing User Interface
     • Sensor Fusion and the Automated/Autonomous Car
     • Smart Homes as First IoT Test Case
     • MEMS/Sensors Executives – Technology Trends for the IoT
     • Wearable as Accessory of the IoT
     • What Comes Next?

   jfieb, 33 minutes agoEditDeleteReport

   #2Reply
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   jfiebMember

   
   

   This one is of interest
   
   note......something changed with EOS in a really good way.
   
   Sensory may NOT be the speaker here, but from my days reading KEY facts stand out.
   
   1.They ( perhaps alone, with nobody else making the multiple thing) made a roadmap decision several years ago...that local
   audio was the way to go....that meant just like QUIK they moved to LOOOOW power algos, did not rely on it all in the cloud.
   
   2. We really really want compute intense aglos to have broad adoption.
   
   
   .what are compute intense so far?
   
   1. CHRM ( a wearable one, not smartphone)
   2, Indoor location ( a lot of moving pieces, but I do track inlocation alliance to know where the partner IP will come from) A worry removed as we need others IP here too.....A big worry gone.
   
   audio on the device.......A major worry for me these past months, was unexpectedly removed for me, with the Eos...sensory is spot on, the implementaion is spot on,
   the use for UI includes smartphones, cars, future devices. And Sensory has a roadmap that involves more complex noise cancellation, more vocabulary, that stays local....
   adjacent possible says this is not a sort term partnership.
   
   EVEN better is that just recently Dr Saxe took another MAJOR worry of mine OFF the table.
   
   And what worry was that, you don't seem to worry much at all?
   
   Major worry removed......and it is HUGE..
   
   
   I could not understand where machine learning that is the AI angle would reside...if all in the cloud that would limit the complexity, that would
   limit QUIK and mainly impact future margin, ie they will pay for this stuff.
   
   Dr Saxe says, and he made it plain as day.............
   Machine learning will reside locally to preprocess as much as possible.
   
   Nice, Why?
   
   So that the data set into the cloud is good. Not junk in. they want accurate pristine data so the crunching in the cloud is NOT absurd in the conclusions it reaches. More algos for the MCU to run? If it becomes ubiquitous-
   An engine of the future.
   
   The casual reader may not see it and I don't reflect on it all the time either, but in this post you can see there ARE MANY risks that have been removed. It will be important to see how the talk about
   the hardcode Sensory stuff plays out here.
   
   Wearables and Smart Sensors Advancing User Interface
   Ways to purchase
   All Access Pass
   Add to Cart - $1400
   The Internet of MEMS and Sensors Track
   Add to Cart - $400
   11:30 AM-12:30 PM January 7
   Venetian, Level 4, Marcello 4404
   Add to Calendar
   
   Higher-performance MEMS microphones, RF MEMS, actuators and software algorithms will create the next major user interface for wearables. As OEMs adopt more of this technology, consumers will rely increasingly on voice, smell and other senses for interaction with wearable devices.
   

   • 
     Speaker:
   • Mike Feibus, Principal Analyst, TechKnowledge
   • Matt Crowley, CEO, Vesper
   • Alexis Bernard, CTO, Knowles Corporation
   • Horst Muenzel, CEO and General Manager, Akustica

   
   Audio is compute intense,
   To be nice for many devices it has to be local.
   It is not something that can be skipped if you want to be
   a player- IT HAS TO BE ADOPTED- and in a nice time frame.
   
   We have the reference designs done in the right time frame for some large TAM roll outs
   
   
   ALL the major players will have to do this............
   
   will track along.
   
   PS IF any of you are going to CES this yr. Please go to the segment and file a report for the rest of us.
   
   Thanks in advance
   

   jfieb, 10 minutes agoEditDeleteReport

   #3Reply
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   jfiebMember

   New
   

   
   

   Look how many
   are working on this stuff....
   
   Wearable as Accessory of the IoT
   

   
   MEMS and sensors can seamlessly transform movements into commands. Using gestures, motion-tracking and tactile input, even ring-sized wearables become important indispensable accessories that allow consumers to interact with IoT devices of all kinds, including smartphones, tablets, home appliances and smart TVs.
   

   • 
     Speaker:
   • Sean Ding, Chief Scientist, Huawei

   So a china name is speaking at USA CES on another UI- gesture.
   
   so two of the talks at CES 2016 are for UI
   Audio as a UI
   gesture as a UI
   
   QUIK has a GREAT audio solution that is differentiated.
   
   QUIK has gesture now, and they can do custom tweaking for key people pretty fast.
   key fact...software is much FASTER than hardware.
   
   We want that.
   
   PS QUIK is overdue for some major software IP type news items. That is what the buz in the sensory fusion coffee house that I vicariously hang out in.

How Nike will fend off Under Armour and Adidas in digital

by Shona Ghosh, 16.10.2015

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Nike: predicting a seven-fold boost in e-commerce sales by 2020

Nike is the biggest sportswear brand globally, but rivals Under Armour and Adidas have invested heavily in digital to try and snatch that crown.

Under Armour told Marketing that it’s working on connected clothing and a sports social network that could rival Facebook or Twitter. Adidas earlier this year bought wearables maker Runtastic.

But Nike this week came out fighting fit, announcing plans to increase online sales seven-fold from $1bn in fiscal 2015 to $7bn by 2020. Overall, the brand plans to boost revenue to $50bn over the same period.

To put this in context, Under Armour’s CEO Kevin Plank expects the company to double revenue across its entire business to $7.5bn by 2018.

New digital partnerships

Nike announced a new partnership with animation company DreamWorks, new steps in 3D printing and the imminent launch of mobile personalisation.

Nike will be using DreamWorks’ new design platform, Nova, to enable "ultrarapid prototyping" and better 3D imaging.

The company also predicted that personalisation would become a mainstream consumer demand in future.

CEO Mark Parker said: "Customisation is one of those expectations…that consumers will have of their product going forward, so we intend to not just participate but to lead in that area.

"What you've seen to date is what we might call internally customisation 1.0. We're working on 2 and 3.0 now that allows more customisation options in terms of aesthetics, and then we're looking at actual performance one-to-one customisation options as well, in terms of cushioning and fit and other dimensions as well."

The idea is to cater to the have-it-now generation, with Nike planning to boost customisation options on mobile and speed up the time it takes to get footwear to customers.

At the end of the month, the brand plans to launch off-the-shelf shoe customisation, with the promise of delivering the footwear to consumers within a week.

Information is more interesting than hardware

While Adidas and Under Armour have publicly talked up the importance of wearables and other connected devices, Nike said hardware was only "one dimension" of the wider digital puzzle.

Brand president Trevor Edwards said: "We…obviously have great partners with the likes of Apple and certainly the wearable market, which is a piece that is an input to that.

"It's one dimension that allows us to help serve that consumer, but we think about service in the broader context."

Specifically, Edwards talked up Nike Training Club, its personal training app for runners. Tracking runner data allows the brand to keep an eye on whether consumers are actively engaged with the brand, or falling out of the loop.

Jayne Martin, president for global categories, said: "So if we break it down, it's runners who just run every single day or runners who have started and maybe trailed off or runners who are training for an event.

"So we can tailor our messages and gear up opportunities against each one of those segments, so really closing the loop and doing that on a consistent basis, which I think drives back into that idea of repeat."

Winning over women

One way the brand hopes to boost online sales is to target "underserved" markets, like women.

The category has become a growing focus for other big sportswear brands, like Puma and Adidas, which have started tapping into the new breed of runner-obsessed women looking for better designed kit.

Nike Women launched its 'Better For It' campaign

The brand boasts the biggest athletic sales for women globally, but wants to grow the category from $5.7bn currently to $11bn by 2020.

The company has good reason to keep female consumers loyal on digital channels – those who buy into Nike’s ecosystem spend two times more than those that aren’t.

The brand will expand its Michael Jordan sneaker line, offering shoes to women for the first time, to try and "fuel a sneaker culture" among female consumers.

Nike partnered with Instagram this year, allowing women to "shop the look"from photos. The first Nike Women’s shop also opened in London this year, the first in Western Europe.

“MACHINE LEARNING? YOU ARE GOING INTO A GREAT AREA.” – INTERVIEW WITH TRIPADVIOR’S JEFF PALMUCCI

http://dataconomy.com/machine-learning-you-are-going-into-a-great-area-interview-with-tripadviors-jeff-palmucci/

WHAT ADVICE WOULD YOU GIVE TO YOUNG PROFESSIONALS LOOKING INTO FINDING THEIR FEET IN DATA SCIENCE?

That is interesting. Because one of the biggest problems right now, I think in machine learning practices is finding good people. Hiring takes a significant part of my day and it is very hard to find good people especially people that know the techniques and understand them well enough to apply them. So if you want to get into this area, machine learning or data science, now is the great time to do it because the demand is high and the supply is low. And what you need to do is prepare yourself and educate yourself – do more than a couple competitions but take the courses and make sure that you work hard. Because one thing about interviewing in this field is that it is very quantitative. You can tell pretty much off the bat if somebody knows what they are talking about. My best advice to somebody going into this area is, first of all I’d say you are going into a great area, you are going to be in high demand but study hard, make sure you know the techniques.

Thank you for your time.

shhh top secret....don't read the following; its the roadmap.

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   Always EXPECT multiples in this arena. They will generally, but not always use what they have on their benches. Some will have to drop out as they don't have the right bits and pieces to put together.
   
   So INVN will be a multiple. Expect it. SO what are they planning on?
   
   
   
   

   Data Scientist (Job ID: 12443)
   

   • Leverage machine learning techniques to discover data patterns and user behavior
   • Evaluate scenarios, and predict future outcomes through statistical data modeling, big data, and optimization tools and techniques like Bayesian modeling , MCMC based estimation methods, convolution-based methods, machine learning, random forests,decision trees, etc
   • Use a combination of R, Python, JavaScript, C, Java, , SQL, etc to solve problems and discover new solutions
   • Translate ideas and theory into commercial solutions, while taking ownership of the process.
   • Help shape our data infrastructure, reporting and analytics platforms

   Requirements:
   

   • 8+ years in the field of data science, data discovery and machine learning.
   • Strong math background
   • Familiarity with a variety of machine learning techniques and statistical methods
   • Proficiency with machine learning techniques
   • Strong DB skills are a must, should be very strong with SQL and NoSQL databases
   • Proficient in Hadoop, Map/Reduce, Pig, Scala, Hive
   • Experience with designing and building large scale data pipelines at large scale
   • Extensive Linux systems/shell programming experience
   • Expertise in distributed/scalable systems and algorithms with awareness of time and space complexity
   • Experience with handling and mining geospatial data
   • Masters degree in Computer Science or equivalent

   jfieb, 5 minutes agoEditDeleteReport

   #7Reply
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   jfiebMember

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   Compare that one to this one....
   
   Posted On10/26/2015
   Principal, Algorithm Architect
   
   
   Employment Type :Full Time Regular
   
   Job ClassProfessional
   The principal sensor algorithm architect plays a key role indeveloping advanced sensor algorithms on QuickLogic’ssensor hub for smartphone and wearable. Strong algorithm development andsoftware implementation experience, with the ability to collaborate withmulti-disciplined engineering teams, is required for success in this position.
   
   Inthis role, he or she is responsible for developing, enhancing and maintaining advancedsensor algorithms including motion sensor calibration and fusion, contextawareness, gesture recognition and other sensor algorithms on QuickLogic’ssmart-sensor hub for smartphones and wearable. He or she is responsible for allphases of development including generating algorithm specifications based on keyperformance indicators and other market requirements,algorithmsimulation, real-time implementation using C and Assembly, performance tuningfor various use cases, optimization for memory footprint and computation load.
   
   He or she is also responsible for guiding thetesting engineer for generating the testing methods and apparatus for sensoralgorithms, sensor data collection, visualization and annotation for sensor algorithms.
   
   The engineer will support for key customer engagement toensure design wins and successful integration, qualification and deployment ofthe smart sensor products. He or she may also engage with our partners,customers, and other engineering teams for generating the technical requirementsand generating the system and algorithm specifications
   
   Skills & Knowledge Profile
   
   

   • PhDwith 7+ years in electrical engineering or computer science is preferred. MSwith 10+ years in electrical engineering or computer science is required.
   • Expertlevel in algorithm development using sensor fusion, machine learning, patternrecognition, simulation and mathematical analysis. Familiar with algorithmdevelopment tools such as Matlab and Simulink.
   • Experiencein efficient implementation of floating point and fixed point algorithms in firmware,software and hardware.
   • Demonstratedability to successfully complete complex R&D technology projects
   • Mustbe able to work in team environment

   
   The following experience is highly desired:
   
   

   • Androidsystem architecture experience

   
   
   
   What can be discerned...
   
   Both are racing down their visions of what they see. Both will add intelligence.
   
   The current difference?
   
   INVN is trying to make a jump. A big jump.
   A jump where?
   
   They are going to try to move from the device into the cloud...machine learning in the cloud.
   
   
   

8. 1. 
      
      QUIK on the other hand currently sees their roadmap, with the Sensory work fresh under their belts, intelligence on the device, leave the Hadoop sort of BIG/massive data mining to others.....PS this past yr I spent several days reading about Hadoop, partly to find a way to invest in it.  Its use ?  Ability to handle just massive data that is required for machine learning in the cloud.  Came away with nothing,

   Sensory several yrs ago decided to focus on audio ON the device and NOT just in the cloud.

   Local intelligence with audio as a mental model, will be what QUIK can differentiate with.

   
   

   Local intelligence ( like audio ), low power, will be their  card. It can be done again and again.

   And IF it becomes ubiquitous?  That is a future hardcode engine.