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Internet of Things? Maybe. Maybe Not.

Everything is connected, through the cloud all machine-generated data are collected and widely shared over the Internet. That’s how we imagine IoT – the Internet of Things.


Correction: That’s how THEY imagine IoT. What WE envision here is not just about the Internet of Things but also the Intelligence of Things. The idea is: When a device is equipped with connectivity and sensors, why not take another bold move to make the device intelligent? With an agile and affordable computing unit, every device has the power to analyze collected data and take fact-backed actions, thus making intelligence “in-place” a part of the Internet of Things, anywhere and at anytime. Intelligence, according to Jeff Hawkins*, is defined by predictions.


Computers, home appliances, vehicles – even the apparel and kitchenware – can be turned into a thinking unit.  They can help you act or react to the environment or your neighbours based on your behavioral routines and preferences. Your running shoes could control the friction of their soles according to your weight, the weather, and the kind of trail you choose. Your home theater system fine-tunes sound effects according to the movie genre and what time of day you are watching. There are plenty of exciting applications that come with the advent of intelligent things.


The question is, how does it work?


The data collected from sensors uploads to the cloud and is stored in (machine) learning systems, while streaming data input triggers an analytic engine to predict the best outcome and to react accordingly. Big data accumulates the background knowledge while small data evokes intelligence in-place.


In-Place Computing, fully utilizing the unbounded memory space of our existing 64-bit architecture, opens up the window for this sci-fi-like scenario. In-place computing utilizes virtual memory space, and thus avoids hardware lock-in and offers cross-platform computing power. As Qualcomm announced the introduction of 64-bit CPUs for handheld devices, now all mobile devices are entitled to serve complicated computing jobs at your fingertips. In-place Computing, can thus be the catalyst for a new era of “Intelligence of Things.”



*Check out this awesome video where Jeff Hawkins explains how brain science will change computing

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Tags: Analytics, Big, Data, Intelligence, IoT


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Comment by chang hsiung on June 19, 2014 at 3:23pm

I can not go into too much details unfortunately,

in short we are thinking to use spectrometer (e.g. NIR ) as the sensors in IoT.

Comment by Sam Sur on June 19, 2014 at 2:57pm


Can you tell me a bit more about your use case? What are you trying to do? If you like, you can email me: [email protected]

Comment by Sam Sur on June 19, 2014 at 2:56pm


Thanks for the prompt comment.

A point to note: though it varies on a case-by-case basis, it may not be always possible to do an in-place intelligence solution on the devices themselves. For example, in my product we get all the data from the manufacturing systems to a central location (cloud or an appliance) and perform the computation in the cloud or the appliance and then send the results back to the manufacturing systems. If we did computation on the device itself, the computation will slow down several processes running on the unit and hence is not an option.

Comment by chang hsiung on June 19, 2014 at 2:38pm

anyone has experience in deploying machine learning algorithm written in Matlab (e.g. SVM) in a In-Place Computing manner to Android platform ?

Comment by Yuanjen Chen on June 19, 2014 at 11:32am

Hi Sam, It's great we actually share the same idea. We expect more analytics, predictions and intelligence to be added to the devices and those functions may not only take place in cloud, but an agile and compact computing engine will allow some computation to happen locally. That's what I said intelligence "in-place."

Comment by Sam Sur on June 19, 2014 at 6:19am

Who are THEY and WE? IoT is not just about connecting devices to the cloud or networking them but it includes the intelligence component as well. What I am saying is that Intelligence of things is the next step within IoT once you get the devices networked and the agents running. IoT would be pretty useless without the intelligence component in it, don't you think?

Comment by chang hsiung on June 19, 2014 at 6:07am

what do you think connecting a spectrometer to the cloud ?

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