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Allegis Group Study Outlines Status of HR-Related Artificial Intelligence Initiatives
"We're still in the early stages of understanding how AI will displace old jobs and create new ones. Without question, though, it will have a major impact on how companies compete for talent and get work done," says Andy Hilger, president of Allegis Group. "Innovations in AI will become more and more integral to business success, impacting strategic priorities, technology adoption, and, maybe most important, the overall evolution of the workforce. Our industry, as well as the clients and talent with whom we partner, needs to understand the implications and have a plan to capitalize on what will be a disruptive force." HR Professionals Take Stock of AI When asked to identify areas of talent management that will benefit from AI, top responses from HR professionals surveyed included training talent (26%), screening talent (24%) and workforce planning (22%).
Scientists know how to make mice angry--but mice know how to keep their cool
Male territoriality is a pretty well-defined scientific concept. Some animals mark their domain with rocks or urine, others attack intruders (and we've all seen guys who pick fights at the bar). Researchers at Stanford University Medical Center have taken a closer look at the roots of this rage in the mouse brain, and in a study published today in Neuron, they pinpoint the brain cells that give rise to male territorial aggression. They also found that in some cases, the mice know when fighting would be a faux pas. The neurons in question are clustered in the ventromedial hypothalamus (VMH), located deep in the center of the brain in a region that plays a role in many hormonally-controlled activities--things like fear, eating and sexual activity. It's old news that the VMH is involved in aggression, but the Stanford researchers narrowed the culprits down to approximately 4,000 cells with receptors that detect sex hormones.
Harvard study says makeup-clad students get higher grades
A new study just confirmed that makeup does in fact make you feel smarter and can lead to better grades too. Researchers from Harvard Medical School and the University of Chieti, Italy put the'lipstick effect' to the test and discovered that female students who wear makeup cognitively benefit from the psychological phenomenon in which wearing cosmetics can make an individual feel a sense of overall enhancement in self-esteem, attitude, and personality. The effect of makeup even proved to be a better predictor for higher grades than mood boosters like listening to positive music. It's well-documented that wearers feels more physically attractive and consequently revel in a higher sense of self-esteem while wearing makeup, but the effect of cosmetics on cognitive abilities hadn't previously been determined Researchers sorted 186 female undergraduate students into groups. Each was tasked with a different'mood-influencing task': listening to a positive music, coloring a drawing of a human face or applying makeup.
a-breakthrough-ai-can-now-predict-which-babies-will-develop-autism
A study published in Science Transitional Medicine has found that doctors can predict which babies will develop autism spectrum disorder (ASD) by the age of two with an astonishing 96 percent success rate. The study took brain scans of 59 "sibs" (the younger siblings of children with ASD), who's chances of getting the disease are 20 times higher than average. The method has been applauded for its non-intrusive nature, ability to identify autism from only one scan, and potential to increase "the feasibility of developing early preventative interventions for ASD." AI and machine learning have the potential to revolutionize healthcare by identifying diseases earlier and with more accuracy, allowing doctors to perform cheaper and less intrusive preventative treatments.
Nex-Tech Wireless introduces DeviceBits - News - Nex-Tech Wireless
COLUMBUS, Ohio – July 19, 2017 – DeviceBits, a leading artificial intelligence (AI) software company that offers predictive, self-learning platforms that help companies adopt self-service customer support materials, announced today its Academy offering will host digital self-support materials for customers of Nex-Tech Wireless. Nex-Tech Wireless focuses on providing its customers cutting-edge technology including 4G LTE data and mobile services, as well as the latest wireless equipment and competitive wireless plans that provide nationwide coverage. As part of the agreement, Nex-Tech Wireless has selected DeviceBits to deploy the Nex-Tech Wireless Academy and Support Predict Platform for self-service digital customer support materials. It will offer customers a destination that will include an enhanced self-service digital experience on their website and mobile devices. This experience will support the top-selling device models offered by Nex-Tech Wireless and guide customers with FAQ's, guides, tutorials and videos that are intelligently linked to predict user journeys which will provide a positive customer experience.
How Artificial Intelligence Is Disrupting Finance
General purpose technology is a term economists reserve for technologies that spur protracted economic growth and societal advancements, revolutionizing the operations of households and corporations alike. A sample general purpose technology is electricity. Electricity spawned a multitude of products and sectors, including refrigerators, washing machines, trains and, of course, computers. The advent of electricity radically transformed the world. A recent Harvard Business Review article designates artificial intelligence (AI) as the most important general purpose technology of our era. A car that can parallel park itself. Devices that respond with tomorrow's weather when we ask.
How AI will shape the future of organisations with Kevin Kelly – Innovation Ecosystem
On today's show, Kevin Kelly talks on how AI technology will shape organizations and why leaders need to adapt to company teaching mentality. Kevin Kelly is the Senior Maverick at Wired Magazine, co-founded Wired in 1993 and served as its Executive Editor for the first seven years. His new book is called The Inevitable, where he discusses the 12 technological forces that will change our future. Welcome to the Innovation Ecosystem, with me today is Kevin Kelly to talk about How AI technology will shape future organizations. Kevin, I have to say when we planned this program, you were the first person that I wanted onto this show. So, I'm really pleased that we managed to find some time in your calendar, and thank you very much for making that time. So, Kevin, you described your work as packaging ideas into books, websites, and making them interesting and pretty. Before we get into your new book, The Inevitable, which is about AI technology, can you give our listeners a sense of your back story? Yeah, I was a science nerd in high school, but also interested in photography, and the arts. Couldn't decide whether to go to art school or MIT. In the end, I decided to be a college dropout, and instead because I read the Whole Earth catalogue, I was inspired to make my own education, and went to Asia where I awarded myself a graduate degree in Asian studies by roaming around for eight years mostly photographing the disappearing traditions of Asia. I also caught a really bad dose of optimism in Asia because right before my eyes I saw people lifting themselves out of poverty very, very quickly, and becoming, from some of the poorest nations of the Earth, to some of the richest ones. This was in the 70s? This was in the 70s, right exactly. So, I came back in the 80s, and I was writing about travel because that was something I knew about. I got myself invited onto the earliest experimental online systems in the very early 80s, 1981, or something. I was reporting on it as if it was a new foreign country, like a travel reporter, and I saw something for the first time, which was high technology that was very human and organic.
The future of work
The world is experiencing an unprecedented rate of technologically-driven disruption - adding weight to the proposition that humanity will see more change in the next 20 to 25 years than the last 200. Although a critical driver, it is important to realise that exponential science and technology developments (e.g. While technological change is a constant factor across all these drivers, let's home in on how exponential technology development could impact the future of business and work. There have been several studies into the possible impact of automation - mostly through AI and robotics - on jobs and employment. There are a range of perspectives, but looking across the studies, the broad consensus is that something significant will happen – and arguably is already happening - to the jobs market.
Demand for artificial intelligence goes global - Information Age
Synechron Inc., the global financial services consulting and technology services provider, has announced that nearly 60 financial institutions are set to implement artificial intelligence (AI) technology – with interest spanning across four continents. Currently, 57 financial institutions based in Europe, the US, Middle East and Asia are being helped to adopt AI technology by Synechron: 28% of these firms are based in Europe with UK headquartered institutions accounting for nearly half (45%) of the interest in Europe, and 23% of interest worldwide. And, 25% of firms set to implement AI are also based in the United States. Of the 57 firms looking to implement AI, 30% are focused on robotic process automation, and another 30% is focused on chatbots. A further 26% involve natural language processing or natural language generation.
Machine Learning Algorithms - Giuseppe Bonaccorso
My latest machine learning book has been published and will be available during the last week of July. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems.