Hello there! So many Artificial Intelligence news out there lately, and so little time. No worries! We’ve picked up the most interesting bunch for you to skim through. So sit back and have a break. Here’re the 5 Must-Read Artificial Intelligence articles of the past week.
On Wednesday, the tech giant announced the launch of Science for Social Good, a new program that partners IBM researchers with postdoctoral academic fellows and nonprofits to take on societal issues through data. With the new initiative, IBM announced 12 projects planned for 2017. Each Science for Social Good project aligns with one or more of the 17 Sustainable Development Goals, the United Nations’ blueprint to address some of the globe’s biggest inequalities and threats by the year 2030.
Following recent terror attacks, politicians criticized social networks for providing safe spaces for extremism. Now Facebook has announced that it’s developing AI and employing a team of 150 experts in order to become “a hostile place for terrorists.”Mark Zuckerberg has explained that, in his utopian vision of the future, many of the problems that his social network faces — among them violent content, child abuse, fake news, and extremism — will be eased by the development of artificial intelligence. Powerful algorithms, the theory goes, could sniff out offensive content and rogue users to shut the problems down.But to date his vision has yet to materialize.
As the scope of chatbots becomes broader every day, there are new applications popping up constantly. Education has traditionally been known as a sector where innovation moves slowly. During the most recent years, there has been a large hype over innovative tools to enhance teaching and learning through educational technology. We’ve come across six applications of both chatbots and artificial intelligence within the educational area that could have an astounding impact on the whole industry.
Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide. The prediction is based on data that’s widely available from all hospital admissions, including age, gender, zip codes, medications, and prior diagnoses. Walsh and his team gathered data on 5,167 patients from Vanderbilt University Medical Center that had been admitted with signs of self-harm or suicidal ideation.
Apple’s HomePod is not artificial intelligence — but it is a great speaker
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