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

33 Indoor Location Related Start-up Acquisitions

  Acquisitions Continue in the Indoor Location Industry; Grizzly Analytics Shows Price Growth at the High End and Continuity at the Low End New York, NY, February 22, 2021 - Despite the recent pandemic, M&A deals in the indoor location area have maintained a steady pace of 4-5 deals a year. At the high end of the spectrum, prices have increased to up to $400 Million for the highest priced recent deal and $165 Million for the second highest. At the lower end, many earlier stage companies have been acquired in the $2-3 Million range. A newly updated report from Grizzly Analytics gives prices and strategic details for 33 acquisitions in the indoor location area.  While the highest priced indoor location acquisitions have historically involved chip-based technologies, recent acquisitions have been more varied. “A few years ago the focus of indoor location M&A was all around pure localization technologies. The biggest deal to date is in fact for a chip-based localization ...

Adding real value to smartphone camera pictures

Most technology features follow a similar path, from imitation to improvement to transformation.  First they imitate something that came before, like telephones imitating the telegraphs of yesteryear.  Then they improve on them, like phones entering individual homes. Then they transform the entire endeavor, completely surpassing the previous technology, like phones automatically connecting people without operator involvement, which enabled society to communicate in ways that telegraph users never contemplated. Cellphone cameras are following a similar path.  At the beginning cellphone cameras were imitating digital cameras, adding the convenience of carrying only one device but basically doing the same as digital cameras did.  Then they improved on them, both with quality improvements and with the ability to share pictures wirelessly without wiring the phone to a computer.  The ability to instantly share and synchronize pictures from a phone is somewhat transf...

Sensor-fusion indoor location system in over 30 malls in Singapore

SingTel just deployed indoor mapping and navigation from Swedish start-up  SenionLab  in over 30 shopping malls in Singapore, with 20 more in planning, in the biggest single deployment we've seen yet of customized indoor location technology. The most significant aspect of this deployment is that this is one of the first commercial deployments of indoor location technology that uses a new technology approach called "sensor fusion," which uses sensors in smartphones (gyroscope, compass, accelerometer, ...) to track location by sensing the phone's movements. Most indoor location systems determine location by measuring the signals of nearby Wi-Fi hotspots or cellular antennas, but this risks looking choppy as the phone waits for the radio signals to change to detect the next place it is. Sensing motion using phone sensors makes the system work more smoothly, regardless of radio signal details.  (The SenionLab solution does use Wi-Fi signals as well, to compe...