It's estimated that half of all adults in the U.S. have a musculoskeletal condition, making it one of biggest health problems in the country, and one that …

Since our successful launch in 2012, Brandfolder has become a leading Digital Asset Management (DAM) platform, helping manage millions of brand assetsfor customers including Slack, JetBlue, Lyft, Papa John's, Under Armour, and Hotels.com--among From images and videos to GIFs and 3D assets, Brandfolder has helped marketers and creatives organize, manipulate, analyze, personalize, integrate and distribute their growing libraries of digital content in an intuitive, cost-effective way. DAM users have already named Brandfolder the number-one, top-tier DAM platform in terms of enterprise usability, lowest implementation time, fastest ROI and highest customer satisfaction. Brandfolder is rolling out a new Artificial Intelligence-driven product: Brand Intelligence. It transforms our DAM offering from a lineup that enables brands to take control of their assets to an evolving universe where brands can revolutionize how they use their creative resources, all while making their creative teams' workflow smoother and more efficient.

Artificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and mimicking the way humans speak. But for all the authentic and exciting ways it's transforming the tasks computers can perform, there's a lot of hype, too. As Jeremy Achin, CEO of newly minted unicorn DataRobot, puts it: "Everyone knows you have to have machine learning in your story or you're not sexy." The inherently broad term gets bandied about so often that it can start to feel meaningless and can be trotted out by companies to gussy up even simple data analysis. To help cut through the noise, Forbes and data partner Meritech Capital put together a list of private, U.S.-based companies that are wielding some subset of artificial intelligence in a meaningful way and demonstrating real business potential from doing so. One makes robots that can whir around shoppers to help workers restock shelves. Another scans recruiting pitches for unconscious bias. A third analyzes massive data sets to make street-by-street weather predictions. To be included on the list, companies needed to show that techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to "understand" written or spoken language), or computer vision (which relates to how machines "see") are a core part of their business model and future success. Find all the details on our methodology here. The honorees span categories like human resources, security, insurance, and finance, with healthcare, transportation, and infrastructure startups best represented on the list.

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. What Is The Best Book On Artificial Intelligence (AI)? I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade.

The psychologist Josh Cohen said, "Privacy, precisely because it ensures we're never fully known to others or to ourselves, provides a shelter for imaginative freedom, curiosity and self-reflection. So to defend the private self is to defend the very possibility of creative and meaningful life." The IoT brings with it a deluge of devices for our homes that are always on, always listening, sometimes watching. These omniscient objects are designed to have human traits to encourage us to be ourselves around them so we interact with them eagerly and often. But this could come to damage our sense of privacy as we become more and more aware of what we say and do around them -- and we run the risk of altering our behaviour accordingly.

You might be familiar with the word Artificial intelligence. You might have heard on the radio or might have seen some news stories or a Hollywood movie depicting the same. And why all of the sudden there is such a trend about it in recent times. For starters, the thing is so popular that almost all the top companies from around the world, who are in the FORTUNE 500 are partially or directly involved in evolving or developing or using some form of ARTIFICIAL intelligence. Be it, Tesla, Facebook, Google, Microsoft, OpenAI, and the list goes on and on. Artificial intelligence (AI), generally called machine intelligence, is intelligence determined by machines.

There is now widespread anxiety over the future of work, often accompanied by calls for a basic income to protect those displaced by automation and other technological changes. As a labour economist, I am in favour of more efficient redistributive taxation through the application of refundable tax credits, which amounts to an income-tested basic income or negative income tax. But I am more skeptical about the spectre of a future without work. And if the future isn't scarred by massive, widespread technological unemployment, a basic income would be neither outrageously expensive nor the be-all and end-all of the policy measures that society needs. The reasons for my skepticism about a future without work rests in the evidence to date.

Humans are a species that can adapt to environmental challenges, and over eons this has enabled us to biologically evolve -- an essential characteristic found in animals but absent in AI. Although machine learning has made remarkable progress in complex games such as Go and Dota 2, the skills mastered in these arenas do not necessarily generalize to practical applications in real-world scenarios. The goal for a growing number of researchers is to build a machine intelligence that behaves, learns and evolves more like humans. A new paper from San Francisco-based OpenAI proposes that training models in the children's game of hide-and-seek and pitting them against each other in tens of millions of contests results in the models automatically developing humanlike behaviors that increase their intelligence and improve subsequent performance. Hide-and-seek was selected as a fun starting point mostly due to its simple rules, says the paper's first author, OpenAI Researcher Bowen Baker.

Researchers in the U.S. military are working to combat what they call "adversarial artificial intelligence." That's when someone hacks into an AI system to transmit the wrong information.