Tess. is a London-based online service created for women that offers personalized professional styling recommendations based on artificial intelligence. of 5 (Photo: MyTess/Dasha Egay) Today, artificial intelligence has become the latest trend in various fields, including education, healthcare, the environment and the business sectors. But have you ever wondered what it would be like if artificial intelligence invades the world of fashion? Whether people will admit it or not, fashion is playing an essential role in our daily routines. Since we are currently in an era where artificial intelligence is on the rise, some of us can't help but wonder how AI will change and influence the world of fashion. Earlier in May, people got a glimpse of how experts incorporated artificial intelligence into the ever-evolving field of fashion.

A really cool way to engage an audience is using live polls in your PowerPoint presentations. What's great about this is if you ask the audience a question, instead of having them shout out their answers or writing their responses on a flip chart, you can have them respond on their mobile devices so you can see the results appear in real time on the slide. This can work with all types of questions – from multiple choice, to free response, to (my favorite) word clouds. Watch the video below or scroll down the page to see how to get started with live polling in PowerPoint today.

An artifical intelligence (AI) diagnosis for eye disease is becoming more likely with Google's DeepMind. Computerworld reports that Google's AI business unit is using patient data from a U.K. hospital in an effort to teach computers how to detect early warning signs of sight loss. Although some hurdles currently exist in implementing health care AI, initiatives like this have potential to transform the future of patient care. The traditional way doctors look for certain eye diseases is to examine an area of the eye called the fundus by either using an ophthalmoscope or by taking a digital fundus scan. Optical coherence tomography is another diagnostic technique that uses a noninvasive, three-dimensional scan of the retina, according to Computerworld.

Artificial intelligence is going to transform "massive swaths" of the workplace, LinkedIn co-founder Reid Hoffman said Thursday. And its effects will be felt beyond sectors like manufacturing and energy, reaching into professional spheres like doctors, lawyers and financial analysts, he said. "It could have very positive effects, but it has very dynamic effects. Yes, jobs will be going away. We've got to focus on entrepreneurship and creating new jobs," he said in an interview on CNBC's "Closing Bell."

The Duchess of Cambridge, Kate Middleton, will not only make you fall in love with her timeless charms and classic beauty. Her sense of humor and fun personality would make you understand why Prince William fell in love with her. Middleton showed the crowd her funny side during a gala event by one of their friends held on June 22. An interesting reason behind her humor might shock most of the people. People Magazine reported how Kate Middleton kid around the chefs of the said event saying Prince William is patient enough to put up with her cooking.

"Nature hath made men so equal, in the faculties of the body, and mind; as that though there be found one man sometimes manifestly stronger in body, or of quicker mind than another; yet when all is reckoned together, the difference between man, and man, is not so considerable, as that one man can thereupon claim to himself any benefit, to which another may not pretend as well as he." This peculiar thought--that, in the most important respects, and despite their manifest differences, all men are equal--has laid the intellectual foundation for democracy's unlikely triumph. But will society retain its belief in equality when it is no longer just man against man? Can democracy thrive when more and more benefits accrue to machines that are stronger in body, and quicker in mind, than any mere mortal? And will the machines' owners remain willing to honor the claims of their social inferiors when they no longer need them to make their food, or to staff their companies, or to fight their wars?

Artificial intelligence (AI) is becoming increasingly ubiquitous within the technology industry, with capabilities that are much more practical than most consumers may think. Smarter e-mail spam filters and autonomous vehicles are just two examples of how deep-learning systems and AI technologies enable machines to better interact with their surrounding environment and provide vast benefits to users. By using a series of layers within a neural network to analyze data, deep-learning systems continue to change the way computers see, hear, identify, and even respond to objects in the real world. While the combination of such skills has made it possible for machines to perform increasingly complicated, human-like functions, the future of deep learning is now being dictated by user-driven input methods. Neural-network algorithms are among the most interesting machine-learning techniques.

April Blackburn, CIO of the Florida Department of Transportation, discussed the opportunities for cognitive analytics and connected devices across the state's IT systems. The agency is already plotting the course for a tech-centric strategic plan and is involved in data sharing with private industry to improve transit in the state. Eyragon Eidam is the assistant news editor for Government Technology magazine, and covers legislation, social media and public safety. He can be reached at eeidam@erepublic.com.

Facebook's recently introduced chat bots have already been utilized to help users order Whoppers and fries -- and now, they're even assisting in the beer-brewing process, CNET reports. London-based company IntelligentX is utilizing said chat bots, along with artificial intelligence, to make its beers taste better. After tasting one of four beers -- Amber AI, Black AI, Golden AI, or Pale AI -- consumers then give feedback to a Facebook chat bot. The drinkers' evaluations are then run through an algorithm (appropriately called ABI, or Artificial Beer Intelligence), which turns them into suggestions on how the brewers can improve the next batch of beer. "In turn, using reinforcement learning and something called bayesian decision making, the AI will learn from experience when a tweak is successful," CNET explains.