Advancement in technology and science is growing at such a pace that questions like the above of replacement of human skills by machines through AI are being debated at present. Traditionally Lawyers and Judges are thought to be dealing with problems of human beings demanding special skills and emotions which only human beings can possess. However, today a lot of work of Lawyers and Judges is being done or atleast supported by computers. However, at present most of the work which is done by the computer in this field is in the nature of typing, data feeding, data analysis, data search, templates and repetitive type of work. However, this article will demonstrate with examples how AI can take over a lot of work of Lawyers and Judges.

If you have and you want to learn the science behind them, you have come to the right place. In this course, I will show you how these companies use Recommender systems or Machine Learning to influence your purchasing decisions. This course is timely and extremely relevant now as almost all major service-oriented companies function on recommender systems. You will understand how these systems work and learn how to build and use your own recommender systems, just like these big companies do. Learn how to build the recommender systems that are being used by almost every big service-oriented company in today's world with this introductory course for beginners.

Chat bots, robots, virtual assistants and other devices powered by business algorithms are rapidly joining the ranks of workers in every industry and profession. But instead of fearing artificial intelligence (AI) and resultant job losses, it's up to human resource (HR) professionals to cultivate these innovations for the opportunities they bring to people and the company. I tuned in to a recent episode of Changing the Game with HR entitled, Reimagining HR: Will Machines Replace the Human Side of Business?, to hear a group of smart thinkers share their insights on AI with SAP Radio host and moderator Bonnie D. Graham. How HR can help make sure AI isn't the worst thing to happen to humanity Instead of the usual gloom and doom scenario for unemployed workers, Andi Britt, European Talent and Engagement at IBM, framed AI in a much more positive light. "All of us suffer from information overload so why can't we use technology smartly to do some of the analysis, the filtering of data for us," he said.

The overwhelming majority of IT executives in North America either have machine learning programs in place now or plan to have them in the near future. As in the related fields of artificial intelligence and data mining, machine learning is rapidly becoming as essential to 21st century business as email or Wi-Fi.The two leading implementations of machine learning today are: predictive analytics, which reduces uncertainty in decision-making; and recommender systems, which increase cart sizes by suggesting other items that match user preferences. A survey presented by 451 Research and Blazent found that more than two-thirds (67.3 percent) of execs either have or plan to have predictive analytics in place. Nearly the same number of execs (66.7 percent) currently use recommender systems or have implantation projects on the books. Once machine learning systems are in place, execs have found countless use cases for them across all enterprise.

Going beyond traditional rules-based voice or chatbot digital banking solutions, a non-bot, natural language banking experience is being offered to USAA members in an Amazon Alexa pilot with Clinc. Last September, a team of computer science professors at the University of Michigan introduced an application developed in their research lab that they believed would change the way consumers would do banking in the future. Combining the science and technology from academia, with the needs for a better voice-first mobile banking capability, Clinc won'Best of Show' honors at Finovate in New York City with their Finie ("the financial genie") application. The intelligent personal assistant uses sophisticated natural language processing engines that have been trained with a deeper knowledge of the financial and banking industry as opposed to using a rules-based approach. Unlike solutions that currently exist from Siri, Alexa and Cortana, Clinc's machine learning capability allows the application to expand knowledge and improve responses with every query.

Solar glasses for the eclipse are sold out in many parts of the country, but still available in the college town of Corvallis, Oregon. CORVALLIS, Oregon - In case you haven't heard, a certain mega-event is happening Monday, the total solar eclipse of the sun, the first time we've seen such a natural wonder in the United States, from coast to coast, since 1918. Talking Tech is here as your last-minute guide to all things eclipse. Where to view it online and on TV, where to still buy your solar glasses, how to photograph it and what to do about a weak connection when surrounded by mobs of people all trying to get on the network at the same time. Near Corvallis, Oregon--an invitation to watch the Total Solar Eclipse from a large rural field.

With the wave of personal assistants, such as Siri, Cortana and Google Assistant, and new startups leveraging AI and analytics to build personal companions, it's becoming clear we are moving toward a new voice-controlled relationship with technology. As we have already seen in the consumer market, it is all but a given that these voice-activation systems will eventually make it into the enterprise environment, as the potential benefits of these systems could be tremendous in simplifying and automating activities. Although it may be a long time before we see the full likenesses of "HAL" from "2001: A Space Odyssey", the technology is already here that can improve the ways businesses operate. Think how much easier it would be for a physician to just say "System: update Mary Smith's chart with the following: "Patient experiencing abdominal pain, issue pharmacy order for 200MG of'SuperAntiGas', signed Dr. FeelBetter." Or in a conference room, instead of the struggle to figure out which remote control puts on the projector and the screen, a simple voice request "System: turn on projector, turn on TV and dim lights."

While not everyone you meet on a dating app is your soul mate you would at least hope they are capable of common decency. However, as these Tinder users prove, this is not always the case as singletons share the trashiest profiles they have found on the app. It might be referred to as the'hook-up' app but most Tinder users are subtle when it comes to their motives but the daters pictured here are not shy when it comes to revealing what they are looking for. From nearly-nude selfies to lewd descriptions many of the profiles come from those hoping to avoid commitment. Meanwhile other users have resorted to typically unattractive assets to bag themselves a date including sharing photos of them on the toilet to revealing that they are already married. Whether they make you cringe or recoil these profiles will surely struggle to make anyone swipe right.

What if your collaboration tools could actually understand the context of your words and deliver you what you really want, and not just web search results? What if it was like having another person in your office and not just a computer? Cisco Systems is aiming to answer that, in part through a $125 million acquisition of AI company MindMeld, which it announced last month. Cisco wants to incorporate MindMeld's AI platform into its collaboration products, because the tech allows users to build intelligent and human-like conversational interfaces for any application or device. AI-enhanced collaboration tools have the potential to increase efficiency, speed up the discovery of new ideas and lead to improved outcomes for teams that are working together in disparate locations.

To learn more about conversational AI, check out Yishay Carmiel's session Applications of neural-based models for conversational speech at the Artificial Intelligence Conference in San Francisco, Sept. 17-20, 2017. The dream of speech recognition is a system that truly understands humans speaking--in different environments, with a variety of accents and languages. For decades, people tackled this problem with no success. Pinpointing effective strategies for creating such a system seemed impossible. In the past years, however, breakthroughs in AI and deep learning have changed everything in the quest for speech recognition.