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Here's How Microsoft Is Investing in AI

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Microsoft (NASDAQ: MSFT) is in the middle of a massive transition right now, but you may not have noticed. That's because the company is moving effortlessly into the burgeoning artificial intelligence (AI) market -- and it's bringing its legacy products and services along with it. Over the past few years, Microsoft has successfully been building new features into its Office products and launching new AI-powered tools through its Azure cloud-computing service as the company looks beyond its Windows products to the fast-growing AI market. Microsoft CEO Satya Nadella said recently that AI is the "defining technology of our times," and he's probably right. AI has the capability to alter how we drive our cars, it will help automate our factories, it will both create and kill jobs, it can be used in warfare, and it's already being used to help improve our healthcare.


Artificial Intelligence in Marketing: A Curse or A Blessing for Marketers?

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This article first appeared on ProfitKong.com. If you wish to learn more tips, tricks and to grow your business then check out ProfitKong.com. Artificial Intelligence (AI) has dominated pop culture for several years. In 1968, director Stanley Kubrik predicted in his 2001 film: A Space Odyssey machines that will be able to mimic human thinking. But it is only recently that the idea has increasingly come into marketing.


Inside Amazon's $3.5 million competition to make Alexa chat like a human

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Onstage at the launch of Amazon's Alexa Prize, a multimillion-dollar competition to build AI that can chat like a human, the winners of last year's challenge delivered a friendly warning to 2018's hopefuls: your bot will mess up, it will say something offensive, and it will be taken offline. Elizabeth Clark, a member of last year's champion Sounding Board team from the University of Washington, was onstage with her fellow researchers to share what they'd learned from their experience. What stuck out, she said, were the bloopers. "One thing that came up a lot around the holidays was that a lot of people wanted to talk to our bot about Santa," said Clark. "Unfortunately, the content we had about Santa Claus looked like this: 'You know what I realized the other day? Santa Claus is the most elaborate lie ever told.'" The bot chose this line because it had been taught using jokes from Reddit, explained Clark, and while it might be diverting for adults, "as you can imagine, a lot of people who want to talk about Santa Claus … are children." And telling someone's curious three-year-old that Santa is a lie, right before Christmas?


The future of AI, IoT and 5G is in the fog - IoT Agenda

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We are at a pivotal moment in technical advancements, where waves of digital innovation are changing how we work, play, travel, communicate, dine, interact and even think. The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to be addressed, especially by developers. In this handbook, learn how to meet the security, analytics, and testing requirements for IoT applications. You forgot to provide an Email Address. This email address doesn't appear to be valid.


Innovations in Artificial intelligence, Machine Learning, Cloud, and Blockchain

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This edition of ITCC TOE provides a snapshot of the emerging ICT led innovations in machine learning, blockchain, cloud computing, and artificial intelligence. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as brick & mortar retail, e-commerce, data labelling, 5G, photo and video editing, manufacturing, talent and business intelligence, amongst others. ITCC TechVision Opportunity Engine (TOE)'s mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more. The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets.


When it comes to Humans and Nature: There is Nothing Artificial about Intelligence

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Life on Earth has been shaped by billions of years of evolution. In fact, to be specific, it's estimated that life on Earth has existed for about 3.8 billion years. The age of the Earth is tagged at 4.543 billion years old. Thus life has, in some form or another, occupied Earth for approximately 83% of its history. What began with single-celled prokaryotic cells like bacteria, life on Earth is now teaming with more than 8.7 million different species.


Frontier AI: How far are we from artificial "general" intelligence, really?

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Some call it "strong" AI, others "real" AI, "true" AI or artificial "general" intelligence (AGI)… whatever the term (and important nuances), there are few questions of greater importance than whether we are collectively in the process of developing generalized AI that can truly think like a human -- possibly even at a superhuman intelligence level, with unpredictable, uncontrollable consequences. This has been a recurring theme of science fiction for many decades, but given the dramatic progress of AI over the last few years, the debate has been flaring anew with particular intensity, with an increasingly vocal stream of media and conversations warning us that AGI (of the nefarious kind) is coming, and much sooner than we'd think. Latest example: the new documentary Do you trust this computer?, which streamed last weekend for free courtesy of Elon Musk, and features a number of respected AI experts from both academia and industry. The documentary paints an alarming picture of artificial intelligence, a "new life form" on planet earth that is about to "wrap its tentacles" around us. There is also an accelerating flow of stories pointing to an ever scarier aspects of AI, with reports of alternate reality creation (fake celebrity face generator and deepfakes, with full video generation and speech synthesis being likely in the near future), the ever-so-spooky Boston Dynamics videos (latest one: robots cooperating to open a door) and reports about Google's AI getting "highly aggressive" However, as an investor who spends a lot of time in the "trenches" of AI, I have been experiencing a fair amount of cognitive dissonance on this topic.


Artificial Intelligence Decoded - Great Learning

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APIs, or application processing interfaces, are packages of code critical to AI functionality in products and software. They can add more value to AI capabilities with descriptions, and call outs. The future of AI is marked with a race against time, as man strives to make machines more intelligent than humans! What was a fascinating aspect of science fiction has now become the most powerful technology disruptive everyday processes in industries and businesses, and human touchpoints? With continuous breakthroughs in AI research, across domains and use cases, AI is being implemented by one company after another, at a breakneck speed. Thus, AI is based on several disciplines that contribute to intelligent systems – mathematics, biology, logic/philosophy, psychology, linguistic, computer science, and engineering. You need to have a certain level of expertise in math, probability, statistics, algebra, calculus, logic, and algorithms.


Frontier AI: How far are we from artificial "general" intelligence, really?

#artificialintelligence

Some call it "strong" AI, others "real" AI, "true" AI or artificial "general" intelligence (AGI)... whatever the term (and important nuances), there are few questions of greater importance than whether we are collectively in the process of developing generalized AI that can truly think like a human -- possibly even at a superhuman intelligence level, with unpredictable, uncontrollable consequences. This has been a recurring theme of science fiction for many decades, but given the dramatic progress of AI over the last few years, the debate has been flaring anew with particular intensity, with an increasingly vocal stream of media and conversations warning us that AGI (of the nefarious kind) is coming, and much sooner than we'd think. Latest example: the new documentary Do you trust this computer?, which streamed last weekend for free courtesy of Elon Musk, and features a number of respected AI experts from both academia and industry. The documentary paints an alarming picture of artificial intelligence, a "new life form" on planet earth that is about to "wrap its tentacles" around us. There is also an accelerating flow of stories pointing to an ever scarier aspects of AI, with reports of alternate reality creation (fake celebrity face generator and deepfakes, with full video generation and speech synthesis being likely in the near future), the ever-so-spooky Boston Dynamics videos (latest one: robots cooperating to open a door) and reports about Google's AI getting "highly aggressive" However, as an investor who spends a lot of time in the "trenches" of AI, I have been experiencing a fair amount of cognitive dissonance on this topic.


How Big Data Is Transforming Artificial Intelligence?

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Recently, "The Economists" emphasized on the fact that data has become the most valuable commodity held by people. When small chunks of data are combined on a large scale, then it's termed as Big Data. While we are busy in securing Big Data from attacks, it is quietly contributing towards the growth of Artificial Intelligence. Well, Machine Learning, a section of AI is making exponential improvements and can be termed as "the information escalated strategy." Simply put, huge chunks of data are required to make, test and prepare AI.