Facebook is using a combination of pattern recognition, live chat support from crisis support organizations and other tools to prevent suicide, with a focus on its Live service. There is one death by suicide every 40 seconds and over 800,000 people kill themselves every year, according to the World Health Organization. "Facebook is in a unique position--through friendships on the site--to help connect a person in distress with people who can support them," the company said Wednesday. The move by Facebook appears to aim to prevent the live-streaming of suicides on the Live platform, which was launched in April last year, and allows people, public figures and pages to share live videos with friends and followers. The company said that its suicide prevention tools for Facebook posts will now be integrated into Live, giving people watching a live video the option to reach out to the person directly and to report the video to the company.

Last week, I compiled a list of the 5 jobs robots will take first. Today, let's have a go at the 5 jobs robots will take last. For this article only, let's define "robots" as technologies, such as machine learning algorithms running on purpose-built computer platforms, that have been trained to perform tasks that currently require humans to perform. For example, an assembly line worker performs mostly manual repetitive tasks which, depending on complexity and a cost/benefit analysis, can be automated. A CEO of a major multinational conglomerate performs mostly cognitive nonrepetitive tasks which are much harder to automate.

Peter Shulman, an associate history professor at Case Western Reserve University in Ohio, was lecturing on the reemergence of the Ku Klux Klan in the 1920s when a student asked an odd question: Was President Warren Harding a member of the KKK? He confessed that he was not aware of that allegation, but that Harding had been in favor of anti-lynching legislation, so it seemed unlikely. But then a second student pulled out his phone and announced that yes, Harding had been a Klan member, and so had four other presidents. For most of its history, Google did not answer questions. Users typed in what they were looking for and got a list of web pages that might contain the desired information.

It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a $15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI is reported to rise to over $70 billion by 2020. Because of AI's business opportunities, hundreds of designers in digital agencies, people who were taught to create products and services that live on the Internet, are starting to build physical products that interact with us, respond to our moods, and make decisions for us. It's a challenge that requires every skill they've learned, plus many they haven't. Still, designers know the basics: The principles of user-centric design lay the groundwork for building a great AI system.

This article is courtesy of Techstars, the best global ecosystem for entrepreneurs to bring new technologies to market. From inspiration to IPO, Techstars empowers the world's most promising entrepreneurs throughout their lifelong journey by providing a global ecosystem made up of tens of thousands of community leaders, founders, mentors, investors, and corporate partners. More consumers are getting used to purchasing their items online, through voice activation or on their smartphone. But there are more solutions that need to happen in retail and startups are starting to respond. After walking the floors of CES and other events, talking with our corporate partners, and meetings with hundreds of startups, here are some trends I'm seeing for 2017 for retail technology for startups.

The Internet of Things is a powerful technological force. So many devices and activities in our personal and professional lives are connected to it--from smartphones and activity trackers to huge manufacturing centers and medical devices, more and more things are being connected to the IoT every day and transforming how we live and work. At the same time, artificial intelligence technology is also developing rapidly, with 80% of the world's largest companies having incorporated some kind of cognitive technology into their products. AI trains computers to take on some human forms and tasks and expands the world of technological possibilities to combine machine learning and human creativity. With two large technological movements making waves around the world, it makes sense to combine them and add an AI layer to the IoT.

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Mumbai: Apple will have a 78% market share in Artificial Intelligence (AI) powered hearables, a market which itself will grow over 2500% annually in 2017, a Counterpoint AI Based Wearables Market forecast for calendar year 2017 said Thursday. "Major growth in the segment is driven by the hearable market which includes devices like Apple AirPods, Beats and Bragi Dash. It is a natural path for other competitors to integrate their AI solutions across their own as well as third party wearables," Karn Chauhan, analyst at Counterpoint said. The study added that AI-powered wearables will grow 376% annually in 2017 to reach 60 million units, with AI enabled smartwatches to contribute 42% of the market, encouraging key players in the segment to adopt AI. The report suggested that the growth in wearable and hearable market will be driven by proliferation of Amazon's Alexa into third party hardware from smartwatches such as Martian and hearables like ONvocal with hearables contributing to 50% of the AI-powered wearables in 2017. The research highlighted that activity trackers with AI will witness a growth of 545% in 2017 and will contribute to 4% of the total AI based wearable market.

Simply reading someone's facial expressions and body language is not enough to understand the experiences of others, new research has found. The new study found that people who'put themselves in the shoes of others' are far more empathetic. While most people assume they can understand another's emotions simply by watching them, the study's results suggest otherwise. Simply reading someone's facial expressions and body language is not enough to understand the experiences of others, new research has found. The new study found that people who'put themselves in the shoes of others' are far better at understanding them (Stock image) But the findings showed they were actually better at estimating how they had felt if they simply viewed the pictures again.

Facebook has started using a new artificial intelligence (AI) system to identify users showing warning signs of suicide. The AI has been trained to spot status updates and subsequent comments that could indicate someone was at risk. The algorithm would immediately send a report to a real reviewer, who could then contact the user with suggestions and resources to help if appropriate. At the moment, Facebook relies on a human reporting system regarding potential suicides, where friends of users can click a button to tell the company about concerning updates. But it is hoped more people will be helped by an automated system.