Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI, the form of A.I. where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. AI for Good is a movement in which institutions are employing AI to tackle some of the world's greatest economic and social challenges. For example, the University of Southern California launched the Center for Artificial Intelligence in Society, with the goal of using AI to address socially relevant problems such as homelessness. At Stanford, researchers are using AI to analyze satellite images to identify which areas have the highest poverty levels.[1] The Air Operations Division (AOD) uses AI for the rule based expert systems. The AOD has use for artificial intelligence for surrogate operators for combat and training simulators, mission management aids, support systems for tactical decision making, and post processing of the simulator data into symbolic summaries.[2]

A large yet tidy refugee camp rises from the desert near the Syrian-Jordanian border. Most people wouldn't think of this as a hub of innovation, but nevertheless, a science and technology show has arrived with cameras and microphones. They're interviewing officials from UNICEF who describe the techniques they developed to safely remove sewage from the camp. Another week, and the cameras arrive in Stockholm to watch a new type of drone make its way through a dark tunnel. The show in question is 4Tech, a program on the BBC Arabic that since 2011 has attracted viewers in a market dominated by glitzy Arab versions of reality shows like "The Voice" and "Who Wants to Be a Millionaire."

In 1955, science fiction writer Isaac Asimov published a short story about an experiment in "electronic democracy," in which a single citizen, selected to represent an entire population, responded to questions generated by a computer named Multivac. The machine took this data and calculated the results of an election that therefore never needed to happen. Asimov's story was set in Bloomington, Indiana, but today an approximation of Multivac is being built in China. For any authoritarian regime, "there is a basic problem for the center of figuring out what's going on at lower levels and across society," says Deborah Seligsohn, a political scientist and China expert at Villanova University in Philadelphia. How do you effectively govern a country that's home to one in five people on the planet, with an increasingly complex economy and society, if you don't allow public debate, civil activism, and electoral feedback?

The Bank of England has weighed into a debate on the looming impact of AI on our lives, most pertinently the jobs market, by calling for a skills revolution to prevent sections of society from becoming'technologically unemployed'. The bank's chief economist, Andy Haldane, issued his call to action with a prediction that the coming Fourth Industrial Revolution will be of a'much greater scale' than the industrial revolution Britain underwent in the late 18th and early 19th centuries. Haldane fears that a failure to adapt to these changes in good time could augur a period of rising inequality, social tension and a'hollowing out' of employment, and argues for new training to be put into place now to prevent such an eventuality from coming to pass. Speaking to the BBC's Today programme, Haldane said: "This is the dark side of technological revolutions and that dark-side has always been there. "That hollowing out is going to be potentially on a much greater scale in the future, when we have machines both thinking and doing - replacing both the cognitive and the technical skills of humans." Haldane isn't entirely pessimistic, however, believing that a new class of jobs could emerge to compensate for those lost. He concedes that any attempt to quantify this counter shift is currently lost in the realms of speculation. He added: "What we can I think say with some confidence, however, is that given that the scale of job loss displacement it is likely to be at least as large as that of the first three industrial revolutions.

TechRepublic's Dan Patterson sat down with Jiyoung Jang, Research Scientist, CCSI Group at IBM Research, Marc Ph. The researchers have discovered invasive and targeted artificial intelligence-powered cyber-attacks triggered by geolocation and facial recognition. The following is an edited transcript of the conversation. Stoecklin, and Dhilung Kirat: IBM Research, and specifically our team, has a long tradition in analyzing technology shifts out there, and how they impact the security landscape out there. Then we understand how to counter these attacks, and how to give recommendations to organizations.

The year 2018 has seen a good influx of innovative medical devices. Artificial intelligence (AI) serves as a critical component in most of these novel devices. FDA has defined artificial intelligence as: "A device or a product that can imitate intelligent behavior or mimics human learning and reasoning. Artificial Intelligence includes machine learning, neural networks, and natural language processing. Some terms used to describe artificial intelligence include: computer-aided detection/diagnosis, statistical learning, deep learning, or smart algorithms."

Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in the Urban Challenge, the winning entries went 60 miles under city-like constraints. Things are clearly progressing rapidly when it comes to machine intelligence. But how did we get here, after not one but multiple "A.I. winters"? And why is Silicon Valley buzzing about artificial intelligence again?

By Manish Upadhyay The debate around Artificial intelligence (popularly called AI) has begun with extreme and not so extreme views about how it will impact jobs and particularly jobs in the MSME sector. The fact of the matter is that technology is ubiquitous, kind of a hygiene in every sector and every job, it's just that with the rise of computing power, server capacity and massive connectivity, the AI promise has become more certain and can't be ignored any further. So what is AI, as the name suggests intelligence as manifested by machines, which tends to mimic human intelligence in some form. Most importantly an AI system needs to be evaluated from what goal it wants to accomplish, largely it can be divided into three groups. Strong AI: which is focussed on actually simulating human reasoning, focussed not only to build systems that think but also to explain how humans think, 2. Weak AI: which is focused on building systems that can behave like humans, but the results will tell nothing about how humans think - IBM Deep Blue Chess programme is one such example.

Japan plans to accept more caregivers from three Southeast Asian countries that have free trade agreements with Tokyo to help address the national labor shortage, sources familiar with the matter said. By easing some restrictions on caregivers from Indonesia, the Philippines and Vietnam, the government will allow more of those with strong proficiency in Japanese to work in Japan starting next April, the sources said Sunday. Under current terms, Japan accepts up to 300 caregivers from each country per year. The government aims to treat those with high language proficiency separately from those groups. The number who want to be caregivers in Japan has been increasing.

On this episode of Recode Decode, hosted by Kara Swisher, Carnegie Mellon's Andrew Moore talks about the future of tech education as fields like artificial intelligence and machine learning take center stage. Moore, the dean of CMU's computer science school, says he's "concerned" that anti-immigrant fervor will deter the next generation of great computer scientists from coming to America, although CMU has not yet seen an impact on its application numbers. "I think it's short-term, and I haven't seen any craziness, though of course, I'm frightened that it'll happen -- on this question of getting really the strongest folks over," Moore said. "If we appear to have a society which doesn't welcome folks from elsewhere then of course any sane brilliant scientist will end up going to Canada or Singapore or Zurich because they'll be able to get the best of both worlds." "Once you're living in an academic community or in a software development office for an exciting company, usually in day-to-day interactions this doesn't come up," he added. "You're so focused on some particular mission. But that perception -- especially among someone who's maybe 16 or 17 in anywhere from Turkey to China to England -- is something I'm concerned about." On the new podcast, he also talks about the often-forgotten importance of electrical and computer engineers, who will develop the sensors that make machine learning advance; how educational programs have been complicit in the lack of diversity in tech; and why he's personally pessimistic that self-driving cars, one of Carnegie Mellon's areas of expertise, will be ready by the early 2020s, as some have predicted. You can listen to Recode Decode on Apple Podcasts, Spotify, Pocket Casts, Overcast or wherever you listen to podcasts. Below, we've shared a lightly edited transcript of Kara's full conversation with Andrew. Kara Swisher: Today, I'm delighted to have Andrew Moore on the podcast. He's the dean of Carnegie Mellon's School of Computer Science, which was ranked No. 1 in the world by U.S. News and World Report. And he was previously a vice president of engineering at Google where he was in charge of Google Shopping. Andrew Moore: Happy to be here, thank you. I wanna get your background. I've had various computer scientists on the show who are teaching and like that, and I'd love to get sort of the academic perspective, but you've been in the fray, also. So just let's give your background, where you came from and how you got to Carnegie Mellon and then we'll talk about what's going on there. I grew up in a seaside town called Bournemouth in South of England, and there, in the late '80s, I really got into creating video games, like a lot of kids at the time.