Blizzard is legendary for keeping old games alive, but it's going the extra mile this time around. The studio has unveiled StarCraft: Remastered, an overhaul that drags the 1998 real-time strategy game into the modern era. It's getting the obligatory fresh coat of paint, including higher-resolution graphics and improved audio. The team is also using this as an excuse to'fix' the game by adding content and features you take for granted. Multiplayer fans will see features that have been a staple of newer Blizzard titles, including "advanced" matchmaking, ladder play and social features.

Use our LinkedIn Login to download this post to PDF or save it to MyLibrary! Everyone has been hearing about AI, some have been hearing about NLP - and everyone has an opinion, belief, or thought about AI. However, that opinion, belief, or thought about AI (and/or NLP) is fully dependent upon the voices of whom everyone has chosen to listen. We are at a stage in our rate of change of technology where we have to let go of how we learned things in the past -- and step into a new stage of keeping ourselves always available to learn, no matter what we believe and/or think. We cannot, more than ever before, solve our problems with the same thinking we used to create them (said Albert Einstein nearly 100 years ago!).

The Bonassama District Hospital in Douala, Cameroon and six other African hospitals are adopting SOPHiA to – no matter their experience in genomic testing – get up to speed and analyze genomic data to identify disease-causing mutations in patients' genomic profiles, and decide on the most effective care. A release from the global leader in Data-Driven Medicine, Sophia Genetics, says in addition to the Bonassama district hospital, the modern technology is being adopted by Pharma Process in Casablanca, Morocco; ImmCell in Rabat, Morocco; The Al Azhar Oncology Center in Rabat, Morocco; The Riad Biology Center in Rabat, Morocco; The Oudayas, Medical Analysis Laboratory, Morocco;and The Center for Proteomic & Genomic Research (CPGR) in Cape Town, South Africa. As new users of SOPHiA, they become part of a larger network of 260 hospitals in 46 countries that share clinical insights across patient cases and patient populations, which feeds a knowledgebase of biomedical findings to accelerate diagnostics and care. Speaking about the adoption of SOPHiA in Africa, Jurgi Camblong, Sophia Genetics' CEO and co-founder, declared: "Since inception, our vision has been to develop innovative technological solutions that analyze patients' genomic profiles to offer better diagnosis and care to the greatest number of patients, wherever they live. Today, I am very proud that SOPHiA is triggering a technological leapfrog movement in healthcare across Africa."

Artificial intelligence has seeped into the lives of everyone with an internet connection. Binge-watching television shows and online shopping carts full of suggested add-ons are commonplace, even though most consumers aren't aware of what's powering the recommendations. Algorithms are constantly hard at work, learning in real-time while users are sitting on the couch watching their favorite streaming shows or as they are adding items to their wish list at a favorite online retailer. Predictive analytics is permeating all industries as organizations start to harness the power of data collection to enable smart decisions. Artificial intelligence or AI, has become pervasive in business in every industry where decision making is being fundamentally transformed by Thinking Machines.

In the recent presidential election, automation and robotics got a slight reprieve from the accusations that it has been the key driver in job losses in the United States. During the campaign, the conversation shifted, thanks largely to then-candidate Trump's masterful scapegoating of Mexico and China, while calling out trade deals like NAFTA and the Trans-Pacific Partnership as clear and present threats to U.S. manufacturing. Indeed, the administration continues to downplay automation as a factor in the U.S. economy, because that explanation runs against the political policies it hopes to enact under the guise of improving the conditions of America's workforce. On Friday, Treasury Secretary Steve Mnuchin dismissed the prospects of artificial intelligence and automation eroding the workforce. "I'm not worried at all" about robots displacing humans in the near future, he said, adding: "In fact I'm optimistic." But even as some politicians look to divert attention from the issue, public focus returned to the evils of automation. The New York Times ran a story titled "The Long-Term Jobs Killer Is Not China. It's Automation," while the Associated Press explained "Why robots, not trade, are behind so many factory job losses."

The idea of a tax on robots was raised last May in a draft report to the European parliament prepared by MEP Mady Delvaux from the committee on legal affairs. Emphasising how robots could boost inequality, the report proposed that there might be a "need to introduce corporate reporting requirements on the extent and proportion of the contribution of robotics and AI to the economic results of a company for the purpose of taxation and social security contributions". The public reaction to Delvaux's proposal has been overwhelmingly negative, with the notable exception of Bill Gates, who endorsed it. But we should not dismiss the idea out of hand. In just the past year, we have seen the proliferation of devices such as Google Home and Amazon Echo Dot (Alexa), which replace some aspects of household help. Likewise, the Delphi and nuTonomy driverless taxi services in Singapore have started to replace taxi drivers.

Can machines think?" asked Alan Turing, known as the father of artificial intelligence (AI), in a seminal paper on the topic of computing machinery and intelligence in 1950. Turing did not coin the term'Artificial Intelligence' but his work laid the foundations for a new research area to be termed'Artificial Intelligence' by John McCarthy, one of the organizers of the 1956 conference held at Dartmouth College, UK to delve into the fundamental task of developing an electronic brain. However, by 1973, disappointed by the progress of work, funding dried up in the UK and USA and AI plunged into a long'winter'. In the 20th century, AI was an idea for the future. It needed much more computing power and a greater variety of digital data sources than was available at that time. Today, the picture has changed. Computing power has reached petaflops levels, distributed on the Cloud and accessible to personal devices like smartphones. As much as 90% of the existing data has been created in the last two years; 2.5 quintillion of data is generated per day from sensors, mobiles, online transactions and social media. The challenge is how to harness this huge data flow to return actionable information without storing this data for future analysis because the growth of storage capacity has long been surpassed by the growth of data volume and there is no possibility of the gap being covered. This is why AI has again gained prominence. Big Data Analytics enables the analysis of data as it streams and stores only the intelligence gathered for future reference. Big Data Analytics is one of the applications of Artificial Intelligence. Atanu Sinha, Director – India and SAARC, Hexagon Geospatial, says: "Big Data Analytics is more to do with past analysis and future trends based on which an organization can make informed decisions.

A mysterious self-driving car company has been quietly expanding in recent years in the world's largest country. Now, Moscow-based Cognitive Technologies has hired a slew of new recruits and is ready to move to the U.S. in the coming months. "The big R&D center will stay in Russia, but the main engineers and business guys will be sent to U.S. soil to set up a proper office," Roman Tarasov, the company's VP for global business, tells Inverse. Cognitive Technologies was founded in 1993 by the guys who created Kaissa, the world's first computer chess champion. For decades it worked on image and voice recognition applications, selling products to Intel, Yandex, and others.

This week the World Government Summit took place in Dubai attracting considerable global interest. Though not immediately associated with excitement and anticipation, trends in government are receiving considerable attention. By 2020, 60 percent of the world's population will be living in cities, putting a huge strain on existing government operations. Increasingly it is clear that governments across the board have to overhaul their approach to be more streamlined, effective and dynamic. What had begun as a niche academic reference, "The future of government" is fast becoming a school in itself. With the development of cognitive technologies such as computer learning, natural language processing, robotics and speech recognition -- the need to build government capabilities to use such developments is clear.

When it comes to public cloud, Amazon and Microsoft enjoy the mindshare of enterprise decision makers. While Amazon's AWS is considered the category leader, Microsoft has not left any stone unturned to become a cloud-first company. Given the breadth and depth of the portfolio, industry veterans agree that AWS and Azure are the top public cloud platforms for enterprises. These two companies have been making steady progress to consolidate their position in the market. Microsoft is inching closer to Amazon, which is widening the gap between the second and third slots.