Sure, computers can be used to play grandmaster-level chess (chess_computer), but can they make scientific discoveries? Researchers at the U.S. Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge. A team led by Anubhav Jain, a scientist in Berkeley Lab's Energy Storage & Distributed Resources Division, collected 3.3 million abstracts of published materials science papers and fed them into an algorithm called Word2vec. By analyzing relationships between words the algorithm was able to predict discoveries of new thermoelectric materials years in advance and suggest as-yet unknown materials as candidates for thermoelectric materials. "Without telling it anything about materials science, it learned concepts like the periodic table and the crystal structure of metals," said Jain. "That hinted at the potential of the technique. But probably the most interesting thing we figured out is, you can use this algorithm to address gaps in materials research, things that people should study but haven't studied so far."

Roman is a data scientist at SAP Digital Interconnect and Agile Solutions, where he mainly works on building machine learning models and applying time series analysis to financial forecasting. He studied Systems Engineering and received a Bachelor of Mathematics with Computer Orientation at the National Autonomous University of Honduras (UNAH). This combination of degrees set him on the road of data science. He loves to learn, teach, help others, and spend time with his family.

Something stood out of the ordinary during a speech by China's president, Xi Jinping, in January 2018. Behind Xi, on a bookshelf, were two books on artificial intelligence (AI). Why were those books there? Similar to 2015, when Russia "accidentally" aired designs for a new weapon, the placement of the books may not have been an accident. Was China sending a message?

AI is one of the most rapidly growing domains today. Keeping track and taking stock of AI requires not just constant attention, but also the ability to dissect and evaluate across a number of dimensions. This is exactly what Air Street Capital and RAAIS founder Nathan Benaich and AI angel investor, and UCL IIPP Visiting Professor Ian Hogarth have done. In the aptly titled State of AI Report 2019 published on June 28, Benaich and Hogarth embark on a 136-slide long journey on all things AI: technology breakthroughs and their capabilities, supply, demand and concentration of talent working in the field, large platforms, financing and areas of application for AI-driven innovation today and tomorrow, special sections on the politics of AI, and AI in China. Benaich and Hogarth are more than venture capitalists: They both have extensive AI background, having worked on a number of AI initiatives, from research to startups.

In a world-first, Amazon has partnered with the UK's health service, the NHS. From this week, its voice-controlled device, Alexa, will give out health advice, and answer common questions such as'Alexa, how do I treat a migraine?' and'Alexa, what are the symptoms of chickenpox?' In response to health-related queries, Alexa will now search the NHS Choices website for health information (and there you were thinking Amazon was all about Prime Day deals). The aim is to ease pressure on the NHS and help those who can't easily access information on the internet – such as the elderly or blind people. Will this partnership with Amazon really end up easing pressure on the health service, or will it lead to data protection issues and misdiagnoses? As we've previously explored, the use of voice interfaces is one of the fastest growing web design trends in recent years, but so far the news has been met with concerns over the appropriateness of using Alexa to deliver this kind of important and sensitive information.

CHIEF financial officers (CFOs) and their finance teams need to understand how to anticipate and respond to artificial intelligence (AI), as it will be a key frontier technology to grow Singapore's economy in the years ahead, CPA Australia said on Thursday. The accounting professional body also urged professionals in the sector to upskill, particularly in terms of data mining, extraction and faster interpretation of big data. To help them navigate this digital journey, CPA Australia has published a resource titled Charting the Future of Accountancy with AI, in collaboration with Singapore Management University's School of Accountancy. The practical guide looks at how AI will reshape the accounting and finance sector in the coming years, and what the profession can do to continue to operate alongside the evolving technology and their changing roles. It draws on insights from professional services firms Accenture, Deloitte, EY, KPMG and PwC, as well as the Singapore Management University.

Machine learning can be a fantastic tool for creators, but integrating AI into your workflow is a challenge for those who can't code. A new program called Runway ML aims to make this process easier by providing artists, designers, filmmakers, and others with an "app store" of machine learning applications that can be activated with a few clicks. Say you're an animator on a budget who wants to turn a video of a human actor into a 3D model. Instead of hiring expensive motion capture equipment, you could use Runway to apply a neural network called "PosetNet" to your footage, creating wireframe models of your actor that can then be exported for animation. Or say you need to remove a coffee cup that was accidentally left in a shot on your high-budget fantasy TV drama.

In today's day and age, it's hard to spot an industry that's not been impacted by Artificial Intelligence. From banking to agriculture to retail, all the fields have been radically transformed by the wonders of Artificial Intelligence. Another industry that's leveraging the transformational benefits of AI is the tourism industry. As per Statista, the travel and tourism industry is one of the world's largest industries with a global economic contribution of over 7.6 trillion U.S. dollars in 2016. Also, the direct economic impact of the tourism industry, including accommodation, transportation, entertainment and attractions, amounted up to approximately 2.3 trillion U.S. dollars that year. So, it makes sense for such a growing industry to use technology as groundbreaking as Artificial Intelligence.

For over a year, China has moved to lead the creation of the first global norms for AI. Now, the U.S. is developing its own AI standards, as the two rivals compete to shape a technology that could define the future balance of authoritarian and democratic power, Kaveh reports. What's happening: China's ambitions are a dimension of its all-hands push to lead the world in frontier technologies -- especially AI -- by the end of the next decade. Having been relegated to the sidelines in the last big cycle of standard-setting at the birth of the internet, Beijing is laser-focused on dominating this new round. As AI moves increasingly into actual commercial use, the leading nations are positioning themselves to standardize the field to their own advantage.

You are looking for some cool designer shades in metallic blue, so you quickly fire-up your favourite e-commerce app, search for it, add it to your cart and buy it. The difference--you do this without touching your phone, and by speaking to it in Gujarati. Over the last decade the mobile phone has come to define the digital experience for billions of new consumers. Many voice artificial intelligence (AI) startups are looking to make these kinds of "post-mobile" experiences a reality for their customers globally and in India. With over 1,038 AI startups in India, working on various aspects of AI, speech and context recognition is fast becoming an exciting new frontier for technology.