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.
   
   
   

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      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.