TECHNOLOGY has advanced so much that one can now produce or alter audio or video content to show or present something that actually didn't happen. With deepfake technology (which combines "deep learning" with "fake"), one can, for example, superimpose someone's face over another person's to create a video to support his or her own agenda. The video is then circulated online, with disastrous consequences on the victim if the purpose is vile in nature, such as the sex video that is currently doing its rounds on social media in Malaysia. Deepfake is artificial intelligence (AI) at work, and there is little you can do to prevent it from happening to you, as highly-paid Hollywood actress Scarlett Johansson lamented. The subject of a fake porn video, she told the Washington Post (Dec 31, 2018): "The truth is, there is no difference between someone hacking my account or someone hacking the person standing behind me on line at the grocery store's account. It just depends on whether or not someone has the desire to target you. "Obviously, if a person has more resources, they may employ various forces to build a bigger wall around their digital identity.

Have you ever had a legitimate credit card transaction declined on the Web or your smartphone? It's a real hassle, to be sure. But now, thanks to a new payment protocol being introduced by Mastercard that relies on deep learning to authenticate purchasers, you should see fewer false positives, less fraud, and faster approvals to boot. Billions of dollars are on the line in the battle for control of the nation's electronic payment byways. Fraudsters are eager to exploit any technological weakness to steal others' hard-earned money, while banks, retailers, and consumers just want to make transactions as simple and secure as possible.

Artificial Intelligence (AI) is a lot of things. It's a game changer for business, it can enable humans to work smarter and faster than ever before, and it could potentially have a significant impact on economies and the labor market. But at the root of it all – the function which gives AI value – is the ability to make predictions. Calculating – more quickly and accurately than has ever been possible – what the likelihood is of a particular outcome, is the fundamental advance which AI brings to the table. To start with, it's worth defining what we mean when we talk about AI.

With the new artificial intelligence (AI) system of the Abu Dhabi Judicial Department (ADJD), cases are identified with a high level of accuracy and requests are processed in an efficient and timely manner, said a tech expert. Alaa Youssef, managing director of SAS Middle East, the firm that offered the AI solutions to Abu Dhabi courts, said judiciary systems worldwide are transforming their operations and functions to keep pace with the digital era. They provide judiciary systems with the capabilities to understand and model their tasks and operations with greater flexibility and accuracy, besides facilitating efficiency and consistency in the overall judicial practice," said Youssef. He pointed out that the goal to introduce AI system in ADJD was to reduce their time in decision-making. The tech expert explained that the judicial department's engagement with SAS was initiated in three main phases: phase one is based on creating visualisations, which involved viewing operational performance of the organisation, gaining performance insights, and ad-hoc analysis. Phase two was about more complex data governance. The third phase was the application of AI and machine learning models on real-world business challenges within the judicial system. "We have been able to tap into huge reserves of data about individuals that is collected by the judicial department.

At the front of the line, a woman stands in front of a camera zip-tied to a tripod. She holds a photograph of her head with the eyes and the nose cut out in front of her face and slowly rotates side to side. Villagers waiting their turn take a numbered ticket. Some of them say it's the third or fourth time they've come to do this sort of work. The project, run out of a sleepy courtyard village house adorned with posters of former China leader Mao Zedong, is collecting material that could train artificial intelligence (AI) software to distinguish between real facial features and still images.

Macau casinos have been rolling out artificial intelligence (AI) technologies in order to monitor habits of patrons and quickly identify those individuals who are likely to spend, and lose, big. The eyes in the skies of Macau casinos are upgrading their capabilities with artificial intelligence. Make no mistake, the AI implementations aren't tailored to protect gamblers. Instead, the technology is to aid the casino in pinpointing its VIPs and making sure they're being catered to. Bloomberg journalist Jinshan Hong says Las Vegas Sands and MGM Resorts' Macau casinos have already installed such monitoring equipment. Hong reports that hidden cameras use facial recognition technologies to identify guests, and digitally-enabled poker chips and baccarat tables allow the house to keep close tabs on guests.

Artificial Intelligence (AI) and Machine Learning (ML) are two trendy buzzwords in the market right now, and often appear to be utilized interchangeably. They are not fairly the same thing, but the observation is that they many times direct to a little confusion. So I had deliberation to write this piece of a blog to clarify the difference. Both terminologies come into picture when the subject is data analytics, insights, Big Data and the wider ways how technological changes are driving the entire world. Artificial Intelligence (AI) is the wider concept of machines being able to execute tasks in a way that we would regard it as "smart".

So the robots are coming for our jobs, are they? Goes back to Elizabeth I and the stocking frame, if my memory serves me right. Machines have been taking our jobs forever. But economists, despite their reputation as practitioners of the "dismal science", have always been upbeat about that. Sure, machines destroy jobs, they say.

AI is helping retailers customize their offerings, create personalized experiences, and make shopping more convenient. Customer centricity -- putting your customer at the center of your strategy -- has long been considered the holy grail of retail marketing. In the digital age, customer-centricity revolves around data and smart technologies like artificial intelligence (AI). With the help of AI, companies collect as much data as they can about their customers' wants, needs, and preferences, and then apply it to customize their offerings, create personalized shopping experiences, and make the purchase process simpler and more convenient. An example of new tools available for understanding customer habits is the Personality Insights service made possible by IBM's AI platform, Watson.

Dr. Julia Han Ding and Dr. Henry Fong were married June 29 at Storrier Stearns Japanese Garden in Pasadena, Calif. Dr. Ding, 30, recently completed an anesthesiology residency at NewYork-Presbyterian/Columbia University Irving Medical Center in New York, where she was selected as a chief resident. In August, she is to begin a fellowship in pain medicine at the University of California, San Francisco. She graduated with highest honors from the University of Texas and received a medical degree with distinction from the Chicago Medical School. The bride's father works in Beijing as a business development executive at SenseTime, a computer vision and artificial intelligence technology company based in Hong Kong.