At the World Economic Forum in Davos this year, Alibaba co-founder and chairman Jack Ma made the case for investing in our emotional capacities and even proposed a "love quotient." Management thinkers believe that socio-emotional skills are going to be a key asset in tomorrow's marketplace, simply because tasks requiring operational excellence and efficiency are likely to be performed much more effectively by AI and robots. Emotions, however, remain a human bastion. Our very weakness is our strength. In a 2016 survey, the World Economic Forum ranked socio-emotional skills as increasingly critical for future career success.

Introduction to AI/ML for Software Engineers" is a fast-paced learning path on machine learning from a software professional's point of view. The class is designed with the goal of providing students with a hands-on introduction to machine learning concepts and systems, as well as giving them the practical skills to walk away with the foundational skills to embark on ML projects in a professional setting. Over the course of two days, attendees will be put through several hands-on exercises that stimulate learning through writing and executing code, instead of passive lectures. Students will get first-hand experience at cleaning data, implementing machine learning programs, and solving real problems in tuning, deploying, scaling, and maintaining machine learning systems. Each attendee will be provided with a comprehensive virtual machine programming environment that is preconfigured for the tasks in the learning path, as well as any future machine learning experimentation and development that they will do.

Google recently admitted it had employees walking the streets in several U.S. cities asking people if they wanted to sell their facial data for $5 gift certificates. They were using this data to help improve Pixel 4's face unlock system. Now, the New York Daily News reports that Google contractors have been using some very dubious tactics to get people's facial data. According to several sources who were working for the Daily News, a contracting agency called Randstad sent teams to Atlanta with the specific intention of finding homeless people with dark skin. According to the report, the contractors often didn't say they were recording the individual's faces or that they were working for Google.

Contractors working for Google reportedly targeted homeless people with "dark skin" to help train a facial recognition system. As reported by our sister publication AI News, facial recognition algorithms have well-documented problems when it comes to identifying people of colour. Part of the reason for the disparity is that most data sets for training algorithms have little diversity. Any responsible tech company will want to ensure their facial recognition technologies are equally accurate across society before they're further deployed in areas such as law enforcement; which even some police have voiced concerns may lead to increased bias. However, it seems in a bid to prevent bias with its own facial recognition algorithms, Google has walked right into another controversy.

London's Metropolitan Police Service says it does not have any records of the outcomes of a facial recognition tie-up with a private firm in the city. Last month, it acknowledged it had shared people's pictures with the managers of the city's King's Cross Estate development. It had previously denied the alliance. In a new report, the Met added that it had only shared seven images and did not believe there had been similar arrangements with other private bodies. It said the pictures were of "persons who had been arrested and charged/cautioned/reprimanded or given a formal warning" and had been provided by Camden Borough Police.

Hundreds of drugs have been developed to address Alzheimer's disease, says Dr. Shahar Arzy, director of the computational neuropsychiatry lab at Hadassah Hebrew University Medical Center in Jerusalem. "Do you know how many have been found effective? But if patients could be diagnosed in the preclinical stages of the disease, perhaps some of the new biological medications showing excellent results in other domains of neurology could be effective when applied early enough in the course of Alzheimer's disease. Arzy and his colleagues have developed a computer-based system to ferret out early signs of Alzheimer's. The system, dubbed Clara ("a hint towards'clarity of mind,'" Arzy says), is an artificial intelligence-based chatbot that asks patients questions about themselves and their relationships to people, places and events. Clara then uses machine learning to compare that information to a baseline in order to generate a computer-based test tailored for the specific individual that can diagnose very early Alzheimer's. Arzy's team published research results in the Proceedings of the National Academy of Sciences and in the American Psychological Association's journal Neuropsychology showing the method to be 95 percent accurate. Alzheimer's affects the brain's "orientation system" that dictates how a person relates to the world outside. "It's easy to test memory," Arzy says. "I can give you three words and ask you to retrieve them." For example, a patient might remember both the assassination of US President John F. Kennedy and the election of Barack Obama but be confused about which came first. Or a patient might recognize his or her spouse and doctor, but not be able to distinguish which person is standing closer. Orientation can be measured in a functional MRI. Your brain will light up differently if you see a picture of your own daughter vs. someone else's child or a generic image of a baby. "The overlap between how the self is oriented to the world and the brain mechanisms that are disturbed by Alzheimer's disease is astonishing,"Arzy says. In the preclinical stages of Alzheimer's, the orientation system begins to deteriorate, "but people can still compensate for this by tapping into other resources like memory," Arzy says. "They can write down a note, for example.

In May 2018, the U.S. federal government announced the creation of a committee of academics and private industry experts to examine the potential of artificial intelligence, followed by an executive order in February to double down on AI research. The president's budget request, published earlier this month by the National Science and Technology Council (NSTC), constitutes the "first-ever reporting of agency-by-agency federal investments" in artificial intelligence research and development related to nondefense purposes.

"Atos has developed a differentiated experience with its North American AI Lab to provide customers tangible results which they can use to kick-start their AI strategy and take into the field immediately," said Peter Cutts, Chief Digital Transformation Officer, Atos North America."Customers The Atos AI Lab approach empathizes with end users' needs and engages multiple stakeholders to deliver real-world code, datasets and solutions that are repeatable and globally scalable." The Atos AI Lab is a state-of-the-art facility that combines a digital experience with design thinking methodology to allow participants to problem solve and create in a format that works best for them. The Atos AI Lab offers an Incubation workshop that aims to create a use-case ready to deploy at the end of two days, meaning customers can start driving business results quickly. To achieve this, real-world customer data is coupled with an Atos-specific methodology to allow the customer to understand the business problem and leave the Atos AI Lab with a clear path on how to solve their challenges using big data and artificial intelligence tools.

With an annual income of €4 bn per year, Manpower France collects 1.3 million receivables from 80,000 companies. To handle this volume, and increasingly complex payment procedures, Manpower's Finance department started using Sidetrade technology in 2013. Sidetrade accelerates automation of the order-to-cash process, and models collection strategies for different segments of clientele. As a result, Manpower France improved their efficiency with a significant reduction in days sales outstanding. Despite this excellent performance, considering the complexity of the purchasing process, and exponential growth in data, Sidetrade decided to enrich their platform with Artificial Intelligence technology.

The next generation of cellular technology is expected to revolutionise the way we communicate, with its increased bandwidth and lower latency expected to facilitate emerging technologies such as autonomous vehicles. "5G is really the first time that you're going to see the next industrial revolution that results directly from a new communications infrastructure," said Ferguson, speaking at Cyber Security Nordic, an information security conference in Helsinki, Finland. But for all the benefits it has been touted to bring, the proliferation of connected devices will cause headaches among security professionals in the "not too distant future", he warned. While autonomous digital weapons and deepfakes are "emotionally frightening", these problems are much further down the line and will be at a much smaller scale compared to the threats that will arise in a hyperconnected 5G world, he said. Previous generations of cellular technology have created fresh cybersecurity challenges.