Sarah Rudd, who once ran analytics for Arsenal, made her name applying the tenets of probability theory to movements on the pitch. Even she admits not everything can be solved with data. The role of advanced analytics in sports is a contentious subject. To its defenders, data-driven pragmatism is a natural evolutionary step in the way we play and watch games. For detractors, the approach prioritizes results above all else and drains the soul from a pursuit that should be spontaneous and joyful.

A recent systematic review of a host of scientific manuscripts, conducted by investigators from the University of Cambridge, has found that machine learning models for detecting or diagnosing COVID-19 are not yet suitable compared to standard medical imaging. The research was published in the journal Nature Machine Intelligence. "In the early days of the pandemic, there was such a hunger for information, and some publications were no doubt rushed," James Rudd, a co-author on the study said. "But if you're basing your model on data from a single hospital, it might not work on data from a hospital in the next town over: the data needs to be diverse and ideally international, or else you're setting your machine learning model up to fail when it's tested more widely." For the review, the investigators identified over 2,000 studies published between January and October of 2020, that claimed an ability to diagnose or prognosticate for COVID-19 from chest radiographs (CXR) and computed tomography (CT) images.

WhatsApp is introducing a new feature for Android users – a fingerprint lock that will prevent your friends and family from sneaking a look at your private messages when you leave the room. If Android users choose to enable the new feature on their phone, then anyone attempting to open WhatsApp will be required to scan their fingerprint before they can read the messages stored in the app. A similar feature was introduced on WhatsApp for iOS earlier this year, giving iPhone users the ability to protect their messages using either the phone's fingerprint reader (Touch ID) or Apple's facial recognition system (Face ID). However, this is the first time the feature will be available on Android devices, providing an'extra layer of security' for WhatsApp users who own devices running Google's software. Users of WhatsApp for Android can enable the new feature by opening the WhatApp app and going to Settings Account Privacy Fingerprint lock. Here they can turn on the'Unlock with fingerprint' feature, and choose whether the lock activates immediately, after one minute, or after 30 minutes.

When Tavis Rudd decided to build a system that would allow him to write computer code using his voice, he was driven by necessity. In 2010, he tore his rotator cuffwhile rock-climbing, forcing him to quit climbing while the injury healed. Rather than sitting idle, he poured more of his energy into his work as a self-employed computer programmer. "I'd get in the zone and just go for hours," he says. Whether it was the increased time pounding away at a keyboard or the lack of other exercise, Rudd eventually developed a repetitive strain injury (RSI) that caused his outer fingers to go numb and cold, leaving him unable to type/code without pain.

Tool can detect 94% of Isis propaganda with a 99.99% success rate in tests An artificial intelligence program that can detect Islamic State propaganda online with a 94% success rate has been developed, the Home Office has announced. The technology could stop the majority of Isis videos from reaching the internet by analysing the audio and images of a video file during the uploading process, and rejecting extremist content. The tool, which has been developed in partnership by the Home Office and ASI Data Science, will be made available to all internet platforms, although many major tech companies such as Facebook and Twitter already use similar technology on their own websites. The tool is aimed at tackling extremist content on smaller platforms like Vimeo, Telegraph and pCloud, which have seen a large rise in Isis propaganda. The terror group has used 400 different websites to upload their content last year, research has found.

Britain's Home Office unveiled a tool Tuesday that algorithmically detects ISIS propaganda videos on small video hosting sites. The technology, developed by ASI data science, is designed to detect and remove videos that have been created by ISIS. Thousands of hours of ISIS video content was analyzed in order to "teach" the software's artificial intelligence what to look out for. The program looks for certain cues, but much of the proprietary information wasn't released for security reasons. The British government said that the technology was developed in order to prevent smaller video content publishers without large budgets from inadvertently spreading ISIS content.

The UK government has unveiled a tool it says can accurately detect jihadist content and block it from being viewed. Home Secretary Amber Rudd told the BBC she would not rule out forcing technology companies to use it by law. Ms Rudd is visiting the US to meet tech companies to discuss the idea, as well as other efforts to tackle extremism. Thousands of hours of content posted by the Islamic State group was run past the tool, in order to "train" it to automatically spot extremist material. The government provided £600,000 of public funds towards the creation of the tool by an artificial intelligence company based in London.