Skip to main content

Intel adds computational intelligence to its vision of the future

Less than a month ago we discussed Intel's acquisition of InVision Biometrics, a company that developed 3D sensor technology for recognizing motion and gestures.  At the time we noted that the InVision Biometrics solution was a MEMS-based hardware solution, a good match for integration into Intel chips. We also noted that both Intel and Qualcomm are entering gesture recognition and other areas that until now have been software dominated, most likely intending to incorporate these areas into next-generation CPUs.

Today the news broke that Intel is opening a new research center in the area of computational intelligence.  They're funding this research center to the tune of $3 million per year for the next five years.

The news article includes the following statements from Intel that shed light on their plans:

The new institute will focus on technologies that serve as an infrastructure for intelligent thinking such as processing architectures and techniques for computerized systems that learn to process data from sensors and convert them to comprehensible information.

Intel VP and Microprocessor and Chip Development Group general manager Ron Friedman said, "We believe that sensory ability will be an integral part of future computer systems because mankind will take advantage of our systems in order to interpret received data."

It's not exactly clear yet what Intel's planning for the "computational intelligence" at this center, but it relates to sensor interpretation and it's targeting integration into CPUs and other chips.  This clearly continues the trend we saw earlier with Intel's and Qualcomm's acquisitions in gesture recognition.  Whether this area of technology will be incorporated into general-purpose or special-purpose chips remains to be seen.  Will gesture recognition and sensor interpretation be in future Intel CPUs, or will future devices have not only CPUs and GPUs but also SPUs?  (Yes, we know, the acronym SPU has been used before, but we think it's still available for "sensor processing unit" as they start to take off.)

And what kinds of devices is Intel targeting with their sensor interpretation and computational intelligence? Grizzly Analytics believes that this must be mobile devices of various sorts, where there's the most benefit of hardware implementation and the largest sales volume potential.

As a not-insignificant side-note, this research center is being created in Israel, the same start-up nation where InVision Biometrics and PrimeSense (makers of the gesture recognition in Microsoft's Kinect) were founded.  The other Israeli start-ups in the area, some of which we discussed here, are looking like better and better M&A targets.

Popular posts from this blog

The year indoor location will truly take off

For years I've been writing sentences like "this will be the year that indoor location will explode into the market." I, and many others, have been expecting indoor location technology to enable the huge range of location-enabled apps, which currently work only outside where GPS signals are available, to work inside. But until now the promise of indoor location has remained a promise. But if we look at the reasons for this, we'll see that it is about to change. 2017 and 2018 are poised to be the years that the challenges keeping indoor location from going mainstream will be solved. First is accuracy. Most indoor location technologies until a year or so ago had accuracy in the range of 4 to 8 meters. This sounds good in principle, and in fact is better than GPS in many cases. But GPS systems are able to use road details to hide their inaccuracies, so that the blue dot seems to follow your driving car almost perfectly. But indoors, this sort of inaccuracy means y

Intel demos indoor location technology in new Wi-Fi chips at MWC 2015

Intel made several announcements  at MWC 2015, including a new chipset for wireless connectivity (Wi-Fi) in mobile devices. This new chipset, the 8270, include in-chip support for indoor location positioning. Below we explain their technology and show a video of it in action. With this announcement, Intel joins Broadcom, Qualcomm and other chip makers in moving broad indoor location positioning into mobile device hardware. The transition of indoor location positioning into chips is a trend identified in the newest Grizzly Analytics report on Indoor Location Positioning Technologies , released the week before MWC 2015. By moving indoor location positioning from software into hardware, chips such as Intel's enable location positioning to run continuously and universally, without using device CPU, and with less power consumption. Intel's technology delivers 1-3 meter accuracy, using a technique called multilateration, generating a new location estimate every second. While 1-

Robot Camera Foreshadows an Era of Location-Aware Electronics

A French company called Move 'N See produces a line of camera robots. Their devices act as a smart tripod, holding a video camera and automatically moving and zooming the camera as people of interest move around a site. The idea is simple but amazingly innovative. Photo selfies are easy to take, but video selfies are next to impossible. How can I video myself playing football or doing gymnastics, without setting the camera so far back as to be useless? Do spectators want to spend an entire sporting event carefully videoing their friend or relative moving around the field? Enter Move 'N See's "personal robot cameramen." Their devices aim, pan and zoom a video camera as one or more people move around an area. The people of interest wear armbands whose locations are tracked, enabling the camera controller to know where to aim the camera. The camera controller also includes enough smarts to adjust the camera smoothly and to capture multiple people evenly. T