On 18 June, UAE's Minister of State for Artificial Intelligence (AI) Mr Omar Sultan Al Olama signed a Memorandum of Understanding (MoU) with the Dr Ali Sebaa Al Marri, Executive President of Mohammed Bin Rashid School of Government (MBRSG), to enhance cooperation and empower young Emiratis. The collaboration seeks to help prepare a future generation of leaders by honing their leadership skills, developing their practical experience and enhancing their knowledge in employing AI technology in government work through training, educational courses and workshops. At the MoU signing ceremony, Minister Al Olama highlighted the potentials of using AI for innovation solutions and the importance of empower future leaders to use the technology. According to him, the creation of government services, programmes and initiatives that enhance the quality of life in the community and support having a competitive knowledgeable economy requires tools, skills and future potentials. "Preparing young Emiratis in AI and the use of its techniques to create innovative solutions to future challenges, supports the vision and directives of our (the UAE's) leadership, to strengthen the UAE's position as a global hub in the use of AI to shape the future," said Minister Al Olama.

After a hugely successful two days in 2017, Insurance Nexus are delighted to announce that our Insurance Analytics Canada Summit will be returning to Toronto in 2018, September 25-26, at the Westin Prince Hotel. Written by insurance carriers, for insurance carriers, Insurance Analytics Canada is Canada's largest analytics summit and the only conference to focus exclusively on new strategies for embedding AI and advanced analytics in insurance. Over 300 C-level attendees will learn from the experts on how to seamlessly integrate new technologies alongside legacy systems, and how AI and advanced analytics canaccelerate underwriting, fast-track claims and ultimately, make their organization stand out in a hugely competitive insurance market. Specifically tailored to the Canadian insurance market, Insurance Analytics Canada will feature multiple tracks, each focusing on salient issues identified by Canadian insurers. Confirmed speakers include Desjardins' Senior Vice President of State Farm, Barbara Bellissimo, who will cut through the hype to discuss the realistic benefits and applications of AI, as well as Intact's Vice President and Chief Data Officer, Jean-François Lessard and Anne Foat, Global Digital Transformation Officer at Sun Life Financial. Insurance Analytics Canada will also feature more interactivity than ever before; remote polling will gather the audience's perspectives on pressing issues and attendees will be able to submit their own questions to our expert speakers using the Slido platform.

Join us for a series of talks on how AI is making XR an even more powerful medium. We'll begin with an overview of how to think about artificial intelligence and it's applications in XR, followed by talks that introduce different AI products into the XR ecosystem. Hugh will outline the three ways XR developers, designers and entrepreneurs should be thinking about AI, and give some examples, including an open source Unity plugin Aquinas are developing for data capture & encoding 2. AI Assistants: David Gene Oh, Samsung Bixby. David will talk about AI assistants and what Samsung is doing 3. Conversational Interfaces: Jeff Meador, Portico True Talk. Jeff will talk about how Portico is using their amazing conversational interface for employee training in XR.

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This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step one--learning how to get a GPU server online suitable for deep learning--and go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems. There are around 20 hours of lessons, and you should plan to spend around 10 hours a week for 7 weeks to complete the material. The course is based on lessons recorded during the first certificate course at The Data Institute at USF.

One does not simply walk into TensorFlow. A PhD is a good opportunity for introspection. In fact, it is important to create opportunities for introspection no matter how busy or insignificant the present feels like. We should not regard our past as an immature period, but as an unfolding story. A story of discoveries, mistakes, skills, and projects that are now part of our professional consciousness.

In today's blog post you are going to learn how to perform face recognition in both images and video streams using: As we'll see, the deep learning-based facial embeddings we'll be using here today are both (1) highly accurate and (2) capable of being executed in real-time. To learn more about face recognition with OpenCV, Python, and deep learning, just keep reading! Inside this tutorial, you will learn how to perform facial recognition using OpenCV, Python, and deep learning. We'll start with a brief discussion of how deep learning-based facial recognition works, including the concept of "deep metric learning". From there, I will help you install the libraries you need to actually perform face recognition. Finally, we'll implement face recognition for both still images and video streams. As we'll discover, our face recognition implementation will be capable of running in real-time.

Eastern China's Anhui province plans to strengthen research and development into artificial intelligence to value the regional sector at over CNY15 billion (USD2.3 billion) by 2020. The program will center around an industry park specialized in speech recognition, China Speech Valley, in the provincial capital Hefei, state-owned news agency Xinhua reported. The scheme will support companies, universities and research institutes to broaden applications in agriculture, manufacturing, education, medicine and urban management. "China Speech Valley will provide the scientific and education resources," said Qi Dongfeng, head of operations at the park. "The program will focus on industrial applications up and down the supply chain, with research directed at chips, algorithms, smart voice products and intelligent sensors."

Or is it man and machines? Learn all about artificial intelligence in a free live webinar hosted by the National Press Foundation at 1 p.m. ET on Tuesday, June 19. We'll help you understand AI and how it works, offer up examples of everyday applications of AI, discuss how the workforce will change with AI, and look at what's coming next in this rapidly changing science. This webinar is sponsored by IBM.

In a world dominated by data, Data Science is the ladder to building a promising career in unique and challenging job positions. Kickstarting your career in Data Science is now easier than ever thanks to the vast pool of online platforms offering Data Science courses. These courses are specially designed to walk you through the concepts and intricacies of Data Science. But, do you know the exact way to climb the ladder? Fret not, for we're here to show you how! So, let's begin, shall we?