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Linus Torvalds releases Linux 5 11, says it s so good your significant other wants you to test it on Valentine s Day

Linus Torvalds releases Linux 5 11, says it s so good your significant other wants you to test it on Valentine s Day
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Consilient Bank Trials Demonstrate Federated Machine Learning Improves Effectiveness and Efficiency for Financial Crime Detection

Press release content from PR Newswire. The AP news staff was not involved in its creation. Consilient Bank Trials Demonstrate Federated Machine Learning Improves Effectiveness and Efficiency for Financial Crime Detection February 10, 2021 GMT Consilient Logo (PRNewsfoto/Consilient) ARLINGTON, Va., Feb. 10, 2021 /PRNewswire/ In recent bank trials, fintech innovator Consilient demonstrated successful federated machine learning for the detection of financial crime. Traditionally, financial institutions silo their efforts to combat financial crime due to regulatory, privacy, technology, and competitive burdens. Consilient’s Dozer™ technology platform recently overcame these obstacles by using federated machine learning, a technique that trains algorithms to be shared across multiple financial institutions. Dozer leapfrogs the current systems for anti-money laundering and countering the financing of terrorism (AML/CFT) systems by sharing the algorithms and not the data. Dozer i

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33 hardware and firmware vulnerabilities: A guide to the threats

Getty Images In January 2018, the entire computer industry was put on alert by two new processor vulnerabilities dubbed Meltdown and Spectre that defeated the fundamental OS security boundaries separating kernel and user space memory. The flaws stemmed from a performance feature of modern CPUs known as speculative execution and mitigating them required one of the biggest patch coordination efforts in history, involving CPU makers, device manufacturers and operating system vendors. Meltdown and Spectre were certainly not the first vulnerabilities to result from a hardware design decision, but their widespread impact sparked the interest of the security research community into such flaws. Since then, many researchers, both from academia and the private sector, have been studying the low-level operation of CPUs and other hardware components and have been uncovering more and more issues.

United kingdomXilinx fpgasIntel software guard extensionsSpeculative store bypassUniversity of birminghamBranch target bufferHelmholtz centerHorst goertz instituteIt security at ruhr university bochumGraz university of technologyRogue data cache loadRogue system register readProtection key bypassBounds check bypassHistory tableMicroarchitectural data sampling