Ever since the election, talking heads have discussed how "fake news" could have tipped the election to Donald Trump by disseminating false stories favorable to him or unfavorable to Hillary Clinton. Social media users can spread these fake new stories far and wide, creating an aura of credibility which can make fake stories hard to distinguish from the truth. Social media websites like Facebook have begun to cooperate with human fact checkers to track fake news websites and notify users that a story is likely false, but it is impossible to trace every single news story as they pop up. There is just too much information on the internet for any human mind to process. So maybe an artificial intelligence (AI) can perform better. Facebook along with researchers and hackers are examining whether artificial intelligence and big data can help track down fake news stories faster than humans can.

Public Sector Agencies Must Adopt Emerging Technologies Like Machine Learning and Artificial Intelligence to Effectively Compete for Talent, Accenture Report Finds ARLINGTON, Va.; Feb. 2, 2017 – Public sector agencies must adopt emerging technologies – including machine learning, artificial intelligence and biometrics – to attract and retain more technically adept employees. This approach is critical to addressing a widening skills gap and strong competition from a better financed private sector, a new report from Accenture (NYSE: ACN) shows. The report, Emerging Technologies in Public Service, examines the adoption of emerging technologies across agencies with the most direct interaction with citizens or the greatest responsibility for citizen-facing services: health and social services, policing/justice, revenue, border services, administration and pensions / social security. As part of the report, Accenture surveyed nearly 800 public service technology professionals across nine countries to identify emerging technologies being implemented or piloted. These technologies include advanced analytics/ predictive modeling, the Internet of Things, intelligent process automation, video analytics, biometrics/ identity analytics, machine learning, and natural language processing/ generation.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

In the past human work was preferred over a machine's work because a human was more accurate than a machine. After all a human could look at all angles and make an informed decision, and a machine could not. But enter machine learning today, and a machine might be more useful than a human in shaping customer experiences. Today machine learning can help brands scale their engagement operations and provide increasingly relevant experiences. And the good news is now you don't have to be a software expert to use machine learning.

At Whetlab, a startup acquired by Twitter in 2015, the technique provided a better way of--wait for it--designing neural networks. Designing a neural network is a task of extreme trial and error. It's a difficult and time-consuming undertaking, but GPs and Bayesian optimization can help automate the task. As WhetLab founder and Harvard computer scientist Ryan Adams has said, the startup used "machine learning to improve machine learning." Neural networks can suffer from the "confident error" problem, and in identifying uncertainty, this kind of optimization can help address that problem.

A steady pencil-pour of steamed milk right in the heart of the espresso a Flat White dot in the making. Among many others, you know. One of our core principles is taking care of one another. That means mutual support, both professionally and personally. This ethos extends to our customers, who we figuratively (and sometimes literally) smother in hugs.

If you have used Facebook at all in the past few years you are probably familiar with the app's remarkable Artificial Intelligence capabilities. This is largely present in the face-recognition and friend tag suggestion abilities. Apparently, though, the company has improved this AI so that it is now even more impressive. Indeed, Facebook's director of applied machine learning, Joaquin Candela, shared, in a blog post, that Facebook can now recognize not only particular objects in your photographs, but also scenes and actions now, too. And this is true even within your photo posts that bear no words at all.

Enterprise apps, from CRM to ERP to marketing automation, have long had a common structure. Whether in the cloud or on-premise they are anchored by a database layer, responsible for storing records concerning customers, products, and other entities. At the top is a presentation layer, responsible for displaying lists or summaries of the underlying records, and facilitating the entry of new records. Between these two layers is business logic that determines how to aggregate records, what restrictions to put on record entry, and the like. As a user of these apps you predominantly use the app itself: You log in and manipulate the presentation layer directly to enter or see the information that's relevant to the task at hand.

Analysis Machines have triumphed again. Libratus, a powerful computer program, has crushed its human opponents at a heads-up no-limit Texas hold'em poker tournament held at Rivers Casino in Pittsburgh, Pennsylvania, winning $1,776,250 over 120,000 hands. It's a landmark achievement in AI game playing, said Tuomas Sandholm, co-creator of Libratus and a machine-learning professor at Carnegie Mellon University (CMU). "Heads up no-limit Texas hold'em is – in a way – the last frontier standing within the foreseeable future. Of course, new things can come later. But of all of the games, where AI research has been significantly conducted – by which I mean multiple decades of research – all the other games like Othello, checkers, chess, Go, limit no Texas hold'em, Jeopardy! "But heads up no-limit Texas hold'em remained elusive in that never before has it been possible to beat the absolute top no limit Texas hold'em professionals.

Some day in the not-too-distance future, people will say words like these. There is a moment in humanity's future that is approaching. And in this moment in time, people will no longer have careers or work full-time jobs. A common thread of argument is that "there will always be work for people to do." To some degree, this may be true.