By using an approximate rather than explicit “kernel” function to extract relationships in very large data sets, KAUST researchers have been able to dramatically accelerate the speed of machine learning. The approach promises to greatly improve the speed of artificial intelligence (AI) in the era of big data.
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Frontline health workers represent the lifeblood of many healthcare systems in low- and middle-income countries around the world. Often overworked and underpaid, these workers operate outside hospital settings to meet the community’s poorest people where they live and work, ensuring healthcare initiatives impact the families that need them most.
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One of China’s biggest mobile gaming companies is selling popular gay dating app Grindr for $608 million after pressure from US authorities concerned over the potential misuse of user data.
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By applying in-sensor computing of analog data, a team of researchers at Vienna University of Technology’s Institute of Photonics has developed a way to speed up machine vision. In their paper published in the journal Nature, the group describes their design and how well it performed during testing. Yang Chai with Hong Kong Polytechnic University has published a News & Views piece in the same journal issue describing the work by the team.
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Hong Kong carrier Cathay Pacific has been fined HK$5 million by Britain’s privacy watchdog over a huge data leak of more than nine million customers including passport numbers and credit card details.
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Science and engineering applications such as control of high-precision motion systems or electrochemical processes are often built on mathematical models of dynamic systems. Ph.D. candidate Dhruv Khandelwal developed a framework that allows people without experience in data-driven modeling to fairly easily develop high-quality, optimized mathematical models of these dynamic systems. This is a vital tool that can help researchers of any stripe navigate the complex maze of modeling technologies and systems dynamics, and support data-driven research output and valorization. For instance, electrical engineers managing the health of the electricity grid or researchers studying the growth of cancer cells. Khandelwal defends his Ph.D. thesis on March 4.
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The data breach news this week was terrible, as usual.
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Demand for electrification of transport has emerged in recent years due to increasing concerns about global warming. The widespread adoption of electric vehicles will result in reduced harmful emissions and cleaner air, among other social and economic benefits. The battery industry is in need of software solutions for battery manufacturers to reduce fabrication and development costs while improving key batteries metrics.
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In a June 2019 report, telecommunications equipment provider Ericsson predicted that there will be 8.3 billion mobile broadband subscriptions by the end of 2024, which translates to 95 percent of all subscriptions by then. Total mobile data traffic will reach 131 exabytes per month (1 exabyte = 1 billion gigabytes), with 35 percent carried by 5G networks.
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Surprising news recently emerged from the personal genetics business. The two leading direct-to-consumer companies in North America, 23andMe and Ancestry.com, announced within a week of each other that they were laying off a significant proportion of their workforce as a result of a steep drop in sales.
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