The measure of success is throughput that trained neural networks are able to perform.\nXilinxThe benchmark performance carried out by Xilinx and Numenta was done on two common benchmark tests of machine learning algorithms.\nThe implementations of sparsity in the Xilinx chips, said Ahmad, means \"we can design the circuitry to be custom-built for sparse networks.\"\n\"People always talk about TOPS, TOPS, TOPS,\" said Peng.\nAlthough the AIE is a key ingredient, the Xilinx chips can do well at accelerating other tasks, not just the linear algebra, what the company calls \"whole-application acceleration.\"
"}}}},{"node":{"postTitle":"Google More Than Doubles Its AI Chip Performance with TPU V4","slug":"google-more-than-doubles-its-ai-chip-performance-with-tpu-v4","publishDate":"2021-05-18 18:30:14+00:00","createdLocal":"2021-05-19 14:31:14.218640","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"TPU V4 (TPU stands for Tensor Processing Unit) reaches an entirely new height in computing performance for AI software running in Google data centers.\nA single TPU V4 pod, a cluster of interconnected servers combining about 500 of these processors is capable of 1 exaFLOP performance, Google CEO Sundar Pichai said in his livestreamed Google IO keynote Tuesday morning.\nTPU V4 pods will be deployed at Google data centers “soon,” Pichai said.\nBesides using these systems for its own AI applications, such as search suggestions, language translation, or voice assistant, Google rents TPU infrastructure, including entire TPU pods, to Google Cloud customers.\nTPU V4 instances will be available to Google Cloud customers later this year, Pichai said.
"}}}},{"node":{"postTitle":"Google is trying to make its image processing more inclusive","slug":"google-is-trying-to-make-its-image-processing-more-inclusive","publishDate":"2021-05-18 00:00:00","createdLocal":"2021-05-19 14:31:13.716025","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"It’s a long-standing problem that dates back to the days of film: image processing tends to be tuned for lighter skin tones and not that of black and brown subjects.\nSpecifically, Google is making changes to its auto-white balance and exposure algorithms to improve accuracy for dark skin tones based on a broader data set of images featuring black and brown faces.\nWith these tweaks, Google aims to avoid over-brightening and de-saturating people of color in photos for more accurate representation.\nGoogle has also made improvements for portrait mode selfies, creating a more accurate depth map for curly and wavy hair types — rather than simply cutting around the subject’s hair.\nThe company says it still has much to do — and it has certainly stumbled in the past on the image recognition and inclusion front — but it’s a welcome step in the right direction.
"}}}},{"node":{"postTitle":"Google aims to make a more inclusive camera","slug":"google-aims-to-make-a-more-inclusive-camera","publishDate":"2021-05-18 20:00:37+00:00","createdLocal":"2021-05-19 14:31:12.914916","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"It’s a long-standing problem that dates back to the days of film: image processing tends to be tuned for lighter skintones and not that of black and brown subjects.\nSpecifically, Google is making changes to its auto white balance and exposure algorithms to improve accuracy for dark skintones based on a broader data set of images featuring black and brown faces.\nWith these tweaks, Google aims to avoid over-brightening and de-saturating people of color in photos for more accurate representation.\nGoogle has also made improvements for portrait mode selfies, creating a more accurate depth map for curly and wavy hair types — rather than simply cutting around the subject’s hair.\nThe company says it still has much to do — and it has certainly stumbled in the past on the image recognition and inclusion front — but it’s a welcome step in the right direction.
"}}}},{"node":{"postTitle":"Amazon extends ban on police use of its facial recognition technology indefinitely","slug":"amazon-extends-ban-on-police-use-of-its-facial-recognition-technology-indefinitely","publishDate":"2021-05-18 00:00:00","createdLocal":"2021-05-19 14:31:10.834949","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Council members in King County, Wash., where Amazon’s Seattle headquarters is based, are considering a local ban this month.\nAnd in Virginia, where Amazon is building its second headquarters, known as HQ2, state lawmakers just enacted one of the strictest laws in the country, requiring local law enforcement to secure state legislative approval before using any facial recognition system.
"}}}},{"node":{"postTitle":"How resilient is your food company?","slug":"how-resilient-is-your-food-company","publishDate":"2021-05-19 00:00:00","createdLocal":"2021-05-19 14:31:10.273074","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The food industry stays strong in any global crisis – it shows resilience, as the experts say.\nDuring a crisis, time seems to move at a faster pace, which also becomes evident in the companies of the food industry.\nUse of integrated systems to enhance digital resilienceThe digital resilience of food companies actually is not so bad, as the results of the CSB survey on the impact of COVID-19 on the food industry have shown.\nSolutions in useDigitisation is the core competency of food companiesYet, despite the current achievements, there is no reason to suspend any further intensive digitization of the company.\nCombining all this in a smart way will ultimately take the resilience of the food industry to an even higher level.
"}}}},{"node":{"postTitle":"Is Your iPhone Spying on You by Taking Invisible Photos? Apple Explains Infrared Camera","slug":"is-your-iphone-spying-on-you-by-taking-invisible-photos-apple-explains-infrared-camera","publishDate":"2021-05-18 00:00:00","createdLocal":"2021-05-19 14:31:01.638515","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"One of its selling points is the Face ID feature, where an iPhone identifies the user and automatically unlocks the phone without further prompting.\nThey also note that the TrueDepth camera system has a tamper-detection feature.\nAlso, note that the TrueDepth camera system is safe to use.\nHowever, you can disable the option altogether for people who prefer not to use the Face ID and TrueDepth camera feature.\nHead to\"Settings\"Open \"Face ID & Passcode\"Open \"Use Face ID\"Toggle off \"iPhone Unlock\" or \"iPad Unlock.\"
"}}}},{"node":{"postTitle":"Mindpeak Announces CE-IVD Mark for Artificial Intelligence Breast Cancer Cell Quantification","slug":"mindpeak-announces-ce-ivd-mark-for-artificial-intelligence-breast-cancer-cell-quantification","publishDate":"None","createdLocal":"2021-05-19 14:31:01.176173","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"HAMBURG, Germany--(BUSINESS WIRE)--Mindpeak, a European leader in computational pathology, announced today that it has received CE-IVD Mark for BreastIHC, an Artificial Intelligence software that detects and quantifies breast cancer cells, for primary diagnosis.\nThe CE-IVD Mark makes the software available to pathology practices across Europe and helps overcome the challenge of an increasing demand for cancer diagnostics.\nThe detection and quantification of immunohistochemically stained breast tumor cells is one of the most critical tasks for a pathologist as the diagnosis directly impacts the treatment decision for the patient.\nBreastIHC is a plug-and-play solution that enables pathology laboratories to immediately detect, classify and quantify breast cancer cells without the need for complex set-up and calibration procedures.\nBreastIHC classifies cells into positively stained tumor and unstained tumor cells.
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