If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
NSFW Artificially intelligent software is used more and more to automatically detect and ban nude images on social networks and similar sites. However, today's algorithms and models aren't perfect at clocking racy snaps, and a lot of content moderation still falls to humans. Enter an alternative solution: use AI to magically draw bikinis on photos to, er, cover up a woman's naughty bits. A group of researchers from the Pontifical Catholic University of Rio Grande do Sul, Brazil, have trained generative adversarial networks to perform this very act, and automatically censor nudity. In a paper for the IEEE International Joint Conference on Neural Networks (IJCNN) in Rio de Janeiro earlier this month, the eggheads presented some of their results.
The number of tech companies pursuing health care seems to have reached an all-time high: Google, Amazon, Apple, and IBM's Watson all want to change health care using artificial intelligence. IBM has even rebranded its health offering as "Watson Health -- Cognitive Healthcare Solutions." Although technologies from these giants show great promise, the question of whether effective health care AI already exists or whether it is still a dream remains. As a physician, I believe that in order to understand what is artificially intelligent in health care, you have to first define what it means to be intelligent in health care. Consider the Turing test, a point when a machine becomes indistinguishable from a human.
Robotic Process Automation (RPA) has been a sector on fire. In order to carry momentum in the coming months and years some things need to change and unfold while delivering on tactical benefits. The will be a shift from a reduction of labor exclusively to more of a business outcome driven approach. Listed below are the changes I see coming in RPAs future. Make no mistake that automation will continue to be a big theme, but additional factors are needed to keep the momentum at a fever pitch.
Twitter recently took drastic action as part of an effort to slow the spread of misinformation through its platform, shutting down more than two million automated accounts, or bots. You can expect the tricksters to up their game when it comes to disguising fake users as real ones. It's important not to be swayed by fake accounts or waste your time arguing with them, and identifying bots in a Twitter thread has become a strange version of the Turing test. Accusing posters of being bots has even become an oddly satisfying way to insult their intelligence. Advances in machine learning hint at how bots could become more humanlike.
This feature first appeared in the Summer 2018 issue of Certification Magazine. Click here to get your own print or digital copy. It's funny how things are always changing. As soon as someone figures out a way to accomplish something, someone else immediately starts trying to make that process better, faster, or less expensive. Humans inexplicably love to tinker.
The job of a customer service agent is not an easy job. In a typical contact center, agents are on the phone or communicating through other channels; email, text, web chat, Facebook Messenger, WeChat… When customers reach out to an agent, they need help and are often upset. They may be asking about a lost bag or debit card, a flight that was canceled or a delayed package. What's important to remember is customer service agents dedicate their daily professional career to helping people solve these problems. As a company's brand ambassadors, they are the guardians of a business's customer relationships.
From strawberries and cream to its all-white dress code, Wimbledon is a sporting event steeped in tradition. But while many of its famous traditions have remained the same since it began in 1877, Wimbledon has also been quietly innovating - particularly when it comes to technology and data. One of its biggest strides in this area has been the use of artificial intelligence, made possible by a long-standing partnership with IBM. Here's a look at how Wimbledon is upping the ante when it comes to AI, and how the technology is enriching the fan experience. While big-name matches might still draw in TV audiences, 'appointment viewing' seems to be in decline for sporting events like Wimbledon.
Salesforce is bringing its Einstein Bots to market as part of the next generation of Service Cloud, along with a bevy of other new features. This ebook, based on the latest ZDNet/TechRepublic special feature, looks at the rise of e-commerce and the digital transformation of retail companies. With Einstein Bots, the aim is to help companies automate routine customer service requests and improve customer experiences regardless of whether customers are interacting with a bot, an agent, or a combination of the two. The bots use historical service data and CRM data to form their answers, but they can also hand the conversation off to a human employee if needed. Meanwhile, developers and admins can use the same point-and-click interface to build custom chatbots.
Understanding the influence of hyperparameters on the performance of a machine learning algorithm is an important scientific topic in itself and can help to improve automatic hyperparameter tuning procedures. Unfortunately, experimental meta data for this purpose is still rare. This paper presents a large, free and open dataset addressing this problem, containing results on 38 OpenML data sets, six different machine learning algorithms and many different hyperparameter configurations. Result where generated by an automated random sampling strategy, termed the OpenML Random Bot. Each algorithm was cross-validated up to 20.000 times per dataset with different hyperparameters settings, resulting in a meta dataset of around 2.5 million experiments overall.
If, like Rip Van Winkle, you've been asleep for the last decade and have just woken up, that flip phone you have has become super-popular among retro technologists and survivalists alike, and, oh yeah, Artificial Intelligence (AI) is either going to kill you or save you. AI is the latest in a long line of technology buzzwords that have gripped society, and if we are to believe the people at the respected technology analysts firm Gartner Inc., 2018 will be the year in which AI is truly integrated into our daily lives. As unnerving as the surreal robotics being cooked up at Boston Dynamics or the deployment of facial recognition AI in Chinese public schools may seem, this technology is a product of the human condition and as such, we are embedding our own culture within its coded DNA. Debates about AI currently focus on the notion of ethics. In the study of culture, ethics are embedded within values, and they've become an important part of the deliberations about how AI will integrate into our lives.