Thiru Arunachalam, co-founder of Peel, said he has “ongoing interaction with the management team at Alibaba.” He said he was introduced to the Alibaba investors through venture capitalist Jay Eum of TransLink Capital. Two other TransLink portfolio companies also have Alibaba capital: Quixey and Tango.

The dialog between Alibaba and Peel management is centered on operational issues. For instance, the Alibaba association has helped Peel to acquire two companies in China. The deals give Peel access to talent in China and leverage in what is the startup’s fastest-growing market, he told Silicon Dragon attendees.

Note the following

NXP has a new product they want to be used for always on. The adjacent possible made this a very expected approach.

What did they do?

They  put an M0+ core in front of an M4.

And what did that give them?  20% lower power.  That is all.

The M0 power figures are not so much lower than the M4.  

No math unit in the M0, it will not run Kalmans like the S2 that will sit in front of the M4

Medicine has the Glasgow coma scale score for level of consciousness.  It has a numerical scale,
3 is the lowest number, 15 the highest.  It is clear that MCUs to get lnger life will drop
Down the the Glasgow coma scale score,
Say leave only a mic on, always, but the device wont know where you are or the context.
Even NXPs dual ARM 0/4 MCU will do that,
An equivalent Glasgow coma score of such a device
Equals 3-5.  QUIKs next FFE/M4 will allow
A competing device to have the maximum GCS
score of 15.


Best thing I heard on the cc?  The word Flagship for their first context aware
Device.  Will a Device with a coma score of 15 be differentiated from one of
3?  The difference is HUGE.

QUIK has the right bits and pieces tomake THE BEST SoC there will be.

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07

November
2014

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PNI restructured into two companies

PNI Sensor will change its corporate structure and create two companies: PNI Sensor Corp. (PNI) and Precision Navigation Corp

PNI will focus on its SENtral® motion co-processor and its algorithms for context, activity, gesture and pedestrian dead reckoning (PDR) to serve the mobile, wearable and Internet of Things (IoT) markets while Precision Navigation Corp. will offer ultra-high resolution, low-noise magneto-sensor technology for automotive, industrial and military markets.

Becky Oh, former president and CEO of PNI Sensor Corp., is now president and CEO of Precision Navigation Corp. and will continue to serve on the board of PNI Sensor Corp. George Hsu, PNI Sensor Corp. Board Chairman, Founder and CTO, is now also CEO of that company.

“With our executive team, we have determined that PNI is not a one-size-fits-all business,” said Oh. “As our core technologies and customer base have diversified, so must we as a corporation evolve to better serve our varied markets and customers. Today as we announce our division into two companies, we celebrate our strengths and continued dedication to meeting customer needs with more attentive focus.”

PNI Sensor Corp.

Under the executive leadership of Hsu, PNI Sensor Corp. will continue to develop the highest-performance software and hardware solutions for extracting user context, activity, gesture, biometrics and location from the mass-produced sensors found in smartphones, wearables and other consumer products. Its sensor-fusion IP features best-of-breed algorithms for context, activity tracking and PDR.

The hardware delivery mechanism for PNI’s algorithms is SENtral, a tiny, ultra-low power, sensor-agnostic motion co-processor that functions as an intelligent sensor hub. SENtral has already been designed into smartwatches and smartphones running the latest Android.

Precision Navigation Corp.

Under the executive leadership of Oh, Precision Navigation Corp. will focus on applying magnetic sensing solutions for automotive, industrial and military applications.

Precision Navigation Corp. offers magneto-inductive sensors delivering more than 20 x higher performance than existing micro-electromechanical systems (MEMS) or Hall Effect sensors. Precision Navigation Corp. will leverage its manufacturing line in California.

Both companies will share headquarters in Santa Rosa, Calif.

News & Analysis

Sensor Fusion Goes Open-Source

Group to provide common algorithms

Jessica Lipsky

11/6/2014 10:00 AM EST 
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AUSTIN, Texas – Analog Devices, Freescale, PNI Sensor Corp., and the MEMS Industry Group formed the Accelerated Innovation Community, a group dedicated to providing open-source algorithms for sensors. AIC also plans to announce an I/O standard for sensors in collaboration with the MIPI Alliance.
Engineers shouldn't have "to reinvent the wheel on common algorithms every time they want to add or change functionality in their product," said Karen Lightman, executive director of the MEMS Industry Group (MIG). "Access to an open-source library of introductory algorithms fundamentally changes the development paradigm."
Freescale was an early catalyst of AIC and has added open-source algorithms such as a C source library for 3-, 6- and 9-axis sensor fusion. Sensor fusion is a basic building block for sensor data analytics and for motion tracking, said Freescale's Ian Chen.
"It's all about bringing the relevant data together from multiple sensors to provide a bigger picture of what's going on in a system," Steve Whalley, chief strategy officer at MIG and a former director of sensors at Intel, told EE Times. AIC aims to let engineers "focus their own real differentiating capabilities on the more complex algorithms that are needed for today's products above and beyond the introductory algorithms in the AIC."

Steve Whalley

The key challenge in sensor fusion is effectively separating signal, motion, and noise, Chen said. AIC's algorithms aim to take redundant data from different sensors that observe the same event to distinguish between noise and signals, then compute more accurate information. 
"Sensor fusion encompasses a variety of techniques which leverage the inherent strengths and monitoring that these individual sensors do to achieve more accurate results than the individual components could achieve by themselves," Chen told EE Times.