Emirates NBD will also use AWS data analytics, Internet of Things, Natural Language Processing, alongside other innovative technology as part of its continuing efforts to better engage with clients and simplify banking. A front runner in retail banking creation, Emirates NBD is working with AWS due to its wide and deep portfolio of cloud solutions and the increased security and controls Emirates NBD can reach from the cloud, and is continued to purchase AWS as its preferred supplier for machine learning workloads. With AWS, Emirates NBD will take additional advantage of AWS artificial intelligence and system learning solutions including Amazon SageMaker, a totally managed machine learning service for construction, training, and deploying system learning models to provide pertinent real-time banking experiences. To create a more profitable and customer centric banking expertise, Emirates NBD can also be leveraging Amazon Personalize, an AWS system learning service which allows the evolution of personalized recommendations to establish new personalized retail banking software. Among the first of those software is a personal finance manager which uses an automated, self learning system to deliver an extremely personalized banking experience to clients so as to predict what each individual client needs as well as match this with the most suitable solution.

With artificial intelligence expected to generate more than 2.3 million jobs by 2020, Morocco has begun to prepare its students for the future by opening a school dedicated to AI training. Rabat – As technology continues to be central in the world's vision for the future, the development of artificial intelligence (AI), the simulation of human intelligence by computers and machines, has become an increasingly important field in science. Meanwhile, Morocco, along with the rest of Africa, has largely failed to capitalize on this demand for AI research and development. However, all of this will change in the future, with the opening of a new school dedicated towards AI in Fez. In September, the Euromed University of Fez (UEMF) will open its doors to the Euromed School of Digital Engineering and Artificial Intelligence (EIDIA), a brand new center dedicated towards AI research, development, and education.

The current crop also includes applications of on-demand manufacturing, augmented reality, music-assisted learning, interactive video, and online music creation. The Aussie team got the nod for their knack at using AI to separate, classify and up-res audio "for the purpose of audio search, discovery, recommendation, personalization, and quality enhancement," which works with studio, UGC audio and, maybe, live mobile communication, a statement from Techstars Music reads. Software engineer and chief of Mawson and Popgun Stephen Phillips paid tribute to his fellow Brisbanites with a tweet. Two more AI startups from Mawson are ready for take off. Both Replica and SuperRes have joined the Techstars Music 2019 program in LA. White says she's "excited and super grateful" to be a member of Techstars' 2019 class of music-based startups.

OXFORD, England, April 11 (Thomson Reuters Foundation) - When Nepal suffered devastating twin earthquakes in 2015 that killed nearly 9,000 people, the government provided help for families whose homes had collapsed to rebuild. But tens of thousands of others with damaged homes that were still standing faced a tougher decision: Was it safe to make repairs? Or were they better off building a new, often smaller home at their own cost? Artificial intelligence (AI), it turned out, could help, said Elizabeth Hausler, a U.S.-based engineer and builder who works on creating affordable, disaster-resilient housing. In Nepal, many homes are variations on a standard design - rectangular, multi-storey and with similar windows, she said.

In 2017 Gartner predicted that artificial intelligence (AI) would benefit procurement and sourcing technology. That moment has arrived, according to Mike Quindazzi, managing director at PriceWaterhouseCoopers and top financial-tech influencer. "We're now in the golden age of AI, where advancements come from voluminous sets of data, new algorithms being created, computing power and the ability to do this in the cloud at scale," said Quindazzi. Procurement data has exploded because procurement has evolved into something called "intelligent spend management," which oversees all corporate purchasing processes including direct and indirect purchases, travel and external labor. Quindazzi cautions that while AI has many use cases in procurement, such as rating vendors, "there will always be a human at the end of AI processes, so there needs to be a sense of accountability."

January 31, 2019Disaster relief, remote-healthcare diagnostics, tracking rhino poachers, upping student achievement--each of these disparate activities could get a big boost from artificial intelligence (AI). A recent discussion paper from the McKinsey Global Institute (MGI), "Notes from the AI frontier: Applying AI for social good," lays out just how AI can help tackle some of the world's most challenging social problems, analyzing 160 use cases. The good news: about one-third are already being used today. Still, there's much more that can be done, both to implement these solutions and to fully understand the breadth of what they can do for social-good organizations. We gathered questions about this topic from our social-media audience around the globe for Michael Chui, an MGI partner based in McKinsey's San Francisco office and one of the report's authors.

The Viral Marketing is a relatively new form of marketing that exploits social networks to promote a brand, a product, etc. The idea behind it is to find a set of influencers on the network that can trigger a large cascade of propagation and adoptions. In this paper, we will introduce an evidential opinion-based influence maximization model for viral marketing. Besides, our approach tackles three opinions based scenarios for viral marketing in the real world. The first scenario concerns influencers who have a positive opinion about the product. The second scenario deals with influencers who have a positive opinion about the product and produce effects on users who also have a positive opinion. The third scenario involves influence users who have a positive opinion about the product and produce effects on the negative opinion of other users concerning the product in question. Next, we proposed six influence measures, two for each scenario. We also use an influence maximization model that the set of detected influencers for each scenario. Finally, we show the performance of the proposed model with each influence measure through some experiments conducted on a generated dataset and a real world dataset collected from Twitter.

One of the classical approaches to automated planning is the reduction to propositional satisfiability (SAT). Recently, it has been shown that incremental SAT solving can increase the capabilities of several modern encodings for SAT-based planning. In this paper, we present a further improvement to SAT-based planning by introducing a new algorithm named PASAR based on the principles of counterexample guided abstraction refinement (CEGAR). As an abstraction of the original problem, we use a simplified encoding where interference between actions is generally allowed. Abstract plans are converted into actual plans where possible or otherwise used as a counterexample to refine the abstraction. Using benchmark domains from recent International Planning Competitions, we compare our approach to different state-of-the-art planners and find that, in particular, combining PASAR with forward state-space search techniques leads to promising results.

When you think of canine-inspired robots, your brain probably conjures up images of Boston Dynamics' celebrated dog robot, Spot. Swiss robotics company Anybotics has also created its own audacious, quadruped robot. The size of a large dog and weighing a little under 80 pounds, Anymal aims to be the gold standard in dog-bots. It's capable of autonomously walking, running, and climbing, and can even get back on its feet if it falls over. Although Spot will go on sale for the first time later this year, this gleaming robotic beast is already on the market in Europe, the United States, and the Middle East.

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