The high-powered knowledge event was held at Atlantis The Palm on 19 November 2017, and brought together the UAE's smartest data professionals to explore new applications for machine learning and artificial intelligence. The speaker roster included decision-makers from Cloudera, AXA Gulf, DU Telecom, Etihad Airways, Microsoft and Wipro. Machine learning is helping companies detect fraud, predict their customers' behaviour, analyse consumer preferences to suggest products, and offer proactive customer support. Combined with big data, machine learning algorithms are sifting through terabytes of data to predict market movements and help derive competitive advantage. "We are very pleased to be able to bring such a high-quality cohort of data professionals and people on the cutting edge of technology to the same platform with the Cloudera Sessions Dubai 2017. These sessions are designed to help organisations harness the power of data to march ahead, and keep pace with the ideals set by Dubai and the UAE as they evolve smart government services. Data is widely recognised as one of the world's most valuable resources for organisations, yet most organisations struggle to make meaningful sense of it. At Cloudera, we help clients use machine learning to turn stagnant data pools into powerful predictions and market insights that power business success," said Cloudera co-founder and chief technology officer, Dr. Amr Awadallah.

Walmart has been testing autonomous floor-cleaning robots in five of its stores, LinkedIn reports. The floor scrubber, developed by Brain Corp., is equipped with cameras, sensors and LiDAR to help it maneuver down aisles and around obstacles. And it can largely navigate itself after first being driven by a person in order to learn its path. Phil Duffy, VP of innovation and marketing for Brain Corp., told Fox Business that the company's technology is in approximately 50 malls and retailers nationwide. "We are also in airports, educational campuses, corporate campuses and industrial sites. In addition, we will be launching in Japan, through our partner, SoftBank Robotics, by summer 2018," he said.

Farmers in China have caught up with the country's booming drone trend and started using unmanned aircraft to spray pesticide onto the fields. Not only that, a team of villagers in central China recently bought 30 of these bug-zapping vehicles in hope of turning it into a new business. Zhu Xiwang and his neighbours said they hoped their squad of agri-drones to could help them start a pest-killing service, according to Huanqiu.com, an affiliation to People's Daily Online. This £24.8K flat pack folding home takes just SIX HOURS to build Pictures show the 30 drones lining up on a field, ready to take off. The unmanned aircraft, known by its model name MG-1S, is produced by Shenzhen-based Da Jiang Innovation, one of the largest drone manufacturers in China.

BEIJING, Nov. 16, 2017 (GLOBE NEWSWIRE) -- Baidu, Inc. (NASDAQ:BIDU) held its annual conference "Baidu World" in Beijing today with the theme "Bring AI to Life", highlighting Baidu's efforts to bring artificial intelligence (AI) to everyday life and expand products and services empowered with intelligent technology to better understand and serve users. "Many people think that the world will become more and more complicated. With the arrival of the AI era, Baidu believes that we can bring changes to everything through technology," said Robin Li, Baidu's Chairman and CEO. "Baidu hopes to use AI technologies to make a complex world simper, because today, Baidu knows you better than you know yourself." During the Baidu World morning keynotes, Baidu released Mobile Baidu 10.0, the latest iteration of its flagship mobile search app, and its first AI-powered hardware, the Raven series.

BEIJING/HONG KONG (Reuters) - Chinese gaming giant Tencent Holdings Ltd is bringing "Playerunknown's Battleground", the world's hottest video game, to China, but with a twist. The gory, battle royale-style game will get a socialist makeover to meet stringent Chinese rules.

Airbus is looking to develop autonomous aircraft and technologies that will allow a single pilot to operate commercial jetliners, helping cut costs for carriers, chief technology officer Paul Eremenko said. "The more disruptive approach is to say maybe we can reduce the crew needs for our future aircraft," Mr Eremenko told Bloomberg Television's Yvonne Man in an interview broadcast on Wednesday. "We're pursuing single-pilot operation as a potential option and a lot of the technologies needed to make that happen has also put us on the path towards unpiloted operation." The aerospace industry has begun seeing a similar trend as the car market, where carmakers are investing in or acquiring autonomous driving startups. Plane manufacturers including Airbus and Boeing are racing to develop artificial intelligence that will one day enable computers to fly planes without human beings at the controls.

The artificial intelligence (AI) sector attracted US$30 billion in investments worldwide last year. China alone spent US$8 billion in the AI space. The staggering figures highlighted the rapid growth of the data industry and value recognition of big data and AI. It's widely expected that AI will bring huge efficiency benefits to many industries. For instance, big data can be utilized in retail not only for predicting and analyzing sales.

Blockchain, Bitcoin and Artificial Intelligence may be buzzwords, but it's important for corporates, startups, and individuals to make sense of these technologies of the future. A startup founder comes up and says, "I invested Rs 40,000 in Bitcoin; it has now doubled." Two days later, a friend says, "I want to invest my savings in Bitcoin." This is followed by an engineer, asking: "Will artificial intelligence take away my job?" There is a lot of science fiction in parallel to realities that encompass Blockchain, Bitcoin and Artificial Intelligence.

Countries around the world are encouraging the development of self-driving technologies. High-density Singapore, which has manpower shortages in many sectors, is at the forefront of such efforts and is hoping to prompt its residents to use more shared vehicles and public transport.

Modern machine learning systems such as image classifiers rely heavily on large scale data sets for training. Such data sets are costly to create, thus in practice a small number of freely available, open source data sets are widely used. We suggest that examining the geo-diversity of open data sets is critical before adopting a data set for use cases in the developing world. We analyze two large, publicly available image data sets to assess geo-diversity and find that these data sets appear to exhibit an observable amerocentric and eurocentric representation bias. Further, we analyze classifiers trained on these data sets to assess the impact of these training distributions and find strong differences in the relative performance on images from different locales. These results emphasize the need to ensure geo-representation when constructing data sets for use in the developing world.