Arm onAir
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Cars are sexy again: http://owl.li/WG9Q6 (esp. when it comes to #automotive #electronics design) +ARM
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Computer vision has suddenly come to the forefront of technology innovation. We have seen all the Sci-Fi examples of robots that can see, but that futuristic era is upon us as HD cameras, high performance embedded computing, sensors fusion and image processing software algorithms have made it possible and economically feasible to create new applications that allow machines to see.
Visual information is the richest source of information about the world around us. Therefore, there are many new applications of vision processing in industrial, automotive, medical, defense, retail, gaming, consumer electronics, security, and education, with many already becoming parts of our everyday lives.
ARM's live Google+ Hangout on Air panel discussion with guests panellists from Embedded Vision Alliance, Freescale, UURMI and Xilinx, will talk about the challenges and opportunities in embedded computer vision.
Visual information is the richest source of information about the world around us. Therefore, there are many new applications of vision processing in industrial, automotive, medical, defense, retail, gaming, consumer electronics, security, and education, with many already becoming parts of our everyday lives.
ARM's live Google+ Hangout on Air panel discussion with guests panellists from Embedded Vision Alliance, Freescale, UURMI and Xilinx, will talk about the challenges and opportunities in embedded computer vision.
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ARM onAir was in a video call with 4 people. <a class='ot-hashtag' href='https://plus.google.com/s/%23hangoutsonair'>#hangoutsonair</a>Charles Garcia-Tobin, Brian Jeff, Ian Smythe, and Robin Randhawa
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ARM onAir hung out with 5 people. <a class='ot-hashtag' href='https://plus.google.com/s/%23hangoutsonair'>#hangoutsonair</a>Ian Ferguson, Tim Wesselman, Lakshmi Mandyam, Jon Masters, and Mark Shuttleworth
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Don't miss ARM & Linaro discussing the most frequently asked questions on Google+ Hangouts on Air tomorrow.
Have questions on ARM’s big.LITTLE processing technology? Well get up early and stay late tomorrow to watch ARM’s big.LITTLE Prodcut Manager, Brian Jeff and Linaro’s CTO, David Rusling discuss live the most frequently asked questions on big.LITTLE on ARM’s Google+ Hangout on Air (also broadcast on ARMflix YouTube channel).
Below are the questions you can expect to find answers to:
1. Should user level code be changed to take advantage of big.LITTLE?
2. When will Google support big.LITTLE?
3. What software needs to be written by silicon partners or ODMs to run big.LITTLE on a platform?
4. Why didn't ARM share a single L2 cache between the big and LITTLE clusters to save area?
5. Can the individual cores by scaled for frequency and voltage?
6. Does big.LITTLE save enough energy to matter in the system context, e.g. Compared to display power, etc?
7. What can Linaro do for a Partner who is deploying a big.LITTLE SoC?
8. Is big.LITTLE useful in enterprise and server applications?
9. When will big.LITTLE be supported by Microsoft?
10. Where can I get big.LITTLE software to try it out?
If you have any additional questions post them to Twitter and include the hashtag #ARMbigLITTLE.
Come back tomorrow just before the event to find the link to the Hangout.
Below are the questions you can expect to find answers to:
1. Should user level code be changed to take advantage of big.LITTLE?
2. When will Google support big.LITTLE?
3. What software needs to be written by silicon partners or ODMs to run big.LITTLE on a platform?
4. Why didn't ARM share a single L2 cache between the big and LITTLE clusters to save area?
5. Can the individual cores by scaled for frequency and voltage?
6. Does big.LITTLE save enough energy to matter in the system context, e.g. Compared to display power, etc?
7. What can Linaro do for a Partner who is deploying a big.LITTLE SoC?
8. Is big.LITTLE useful in enterprise and server applications?
9. When will big.LITTLE be supported by Microsoft?
10. Where can I get big.LITTLE software to try it out?
If you have any additional questions post them to Twitter and include the hashtag #ARMbigLITTLE.
Come back tomorrow just before the event to find the link to the Hangout.
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A sensor converts physical world characteristics into information that can then be processed using information technology tools. Sensor fusion is the process by which data points are combined from multiple sensors to yield the best estimate of the overall state of the system being observed. Battery life is the most critical measure for any device with built in sensors. Watch ARM's live Google+ Hangout on Air panel discussion with guests panelists from Atmel, Freescale and Sensor Platforms. Our panelists will explore the various levels of software and hardware design techniques to address the opposing needs of low power and high software complexity.
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ARM onAir was in a video call with 4 people. <a class='ot-hashtag' href='https://plus.google.com/s/%23hangoutsonair'>#hangoutsonair</a>Charles Garcia-Tobin, Ian Smythe, Brian Jeff, and Robin Randhawa
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ARM onAir hung out with 2 people. <a class='ot-hashtag' href='https://plus.google.com/s/%23hangoutsonair'>#hangoutsonair</a>Brian Jeff and David Rusling
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