ARTIFICIAL intelligence is being used in interesting ways across the Asia Pacific (APAC). Businesses in the region have been exploring how AI can help improve productivity, efficiency, and create new digital transformation and customer experience opportunities. Of course, the demand and adoption of AI applications in the APAC are driven by megatrends such as data availability, the furthering of the Industry 4.0 agenda, an population aging, and government support. According to a new Frost & Sullivan report, the efforts of leaders working on AI projects is paying off -- especially because of all the related technologies and concepts AI can bring to life. "With the convergence of Internet of Things (IoT) and communication technologies such as 5G, the future of AI application is all-pervasive," commented Frost & Sullivan Industry Analyst Cognitive Industry (AI and IoT), Information, and Communication Technologies Research and Practice Amy Lin.

Robots are getting closer to being able to see and feel the physical world. A team of researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) developed AI software that's capable of predicting what an object will look like or feel like by using'sight' and'touch.' The study could help humans and machines work together more seamlessly in the workplace, researchers say. Robots are getting closer to being more aware of their surroundings. MIT researchers developed AI that's capable of identifying an object by using'sight' and'touch' Their findings also bring robots closer to emulating a common function of the human brain: When humans look at an object, they can often anticipate what it will feel like, i.e. hard, soft, flexible, etc.

Dogs have evolved muscles around their eyes to look cute to humans, scientific research has shown for the first time. The muscles allow dogs to raise a quizzical eyebrow and to look sad - giving them facial expressions similar to our own. The authors say that the eyebrow raising movement triggers a nurturing response in humans. They makes the dogs' eyes appear larger and more child-like. The authors say that the eyebrow raising movement triggers a nurturing response in humans.

Domino's could be putting some of its delivery drivers out of a job this year by rolling out a new wave of robot delivery vehicles in Texas. The robot vehicles, made by the well-funded autonomous driving startup, Nuro, are entirely self-driving and can cart their cargo -- in this case Domino's pizza -- via in-unit storage. Once the robot arrives at its destination, customers must meet the vehicle and use a special pin provided to them upon ordering to unlock the hatch and collect their delivery. Domino's will take the next step in autonomous delivery by partnering with Nuro to deliver pizzas via robot cars. Silicon Valley-based startup, Nuro, will partner with Domino's Pizza to deliver in Houston, Texas.

At a time when facial manipulation tools, deepfakes and fake facial images are more advanced and common than ever before, Adobe, the multinational American computer software company, has trained AI to differentiate these fakes from original facial photos. A team of researchers from Adobe and UC Berkeley in California, U.S., have worked together to create this tool. The aim of their work is to restore faith in digital media, in a day and age when countless fakes and touch ups occur. The team studied Adobe's Photoshop feature called Face Away Liquify, which is meant to change people's faces, eyes and mouths. Later, they trained a convolutional neural network (CNN), used to analyze visual imagery, to pick up the changes made to the faces in the images.

Artificial intelligence is one of the technologies with the most transformative potential in business. According to research by McKinsey, 70 per cent of companies are likely to have adopted at least one form of AI by 2030. This will contribute to an additional $13tr of global economic activity. Machine learning – a subset of artificial intelligence – enables machines to get better at executing tasks without human intervention, by finding patterns in data, and learning from their experience. It's no surprise, therefore, that there has been an explosion in the number of machine learning companies worldwide.

Understanding software development procedures in 2019 is vital. With many new programming languages approaching the matter, the way we build programs, machines and everything in between changes on a daily basis. With this in mind, a common denominator in software builds, especially for what concerns mobile apps, has been Artificial Intelligence. It's no secret that automation and machine code have both been incredibly big from a development and business perspective and their further simplification in order for them to be applied to a variety of pieces of software is at a groundbreaking state nowadays. Let's analyse the matter in more detail.

Researchers at Argonne National Laboratory are working on optimization models that use machine learning, a form of artificial intelligence, to simulate the electric system and the severity of various problems. In a region with 1,000 electric power assets, an outage of just three assets can produce nearly a billion scenarios of potential failure. Argonne researchers apply machine learning to inform more reliable grid planning and operations. The following article is part of a series on Argonne National Laboratory's efforts to use the predictive power of artificial intelligence, specifically machine learning, to advance discoveries in a broad range of scientific disciplines. How much electricity will you need tomorrow?

Although the concept of artificial intelligence has been around for centuries it wasn't until the 1950's where the true possibility of it was explored. A generation of scientists, mathematicians and philosophers all had the concept of AI but it wasn't until one British Polymath, Alan Turing, suggested that if humans use available information, as well as reason, to solve problems and make decisions -- then why can't machines do the same thing? Although Turing outlined machines and how to test their intelligence in his paper Computing Machinery and Intelligence in 1950 -- his findings did not advance. The main halt in growth was the problem of computers. Before any more growth could happen they needed to change fundamentally -- computers could execute commands, but they could not store them.

Infosys has dropped plans to sell automation software company Panaya after failing to find a buyer for a year. Instead, the software services giant has started investing in the subsidiary, foreseeing the efficiency of the company in AI and automation strategy. The Israel-based software company's products include change impact analysis, automated code remediation, collaborative test management and test-execution, and ALM acceleration. It runs on Amazon Elastic Compute Cloud. As per analysts, Panaya was a good acquisition but the asset was never used by Infosys after the buyout because of the corporate governance fight between the former CEO Vishal Sikka and NR Narayana Murthy, Infosys founder.