Opinion


The outcome of this virtual riot depends on your emotions

Engadget

In RIOT 2, an interactive film by Karen Palmer, controlling these emotions is the key to your escape. Yet the ongoing melding of games and film into interactive narratives raises the question of how we should control these new experiences naturally. "Conversation, facial expression, intonation of our voice, physical gesture -- all of those are the natural language of human interaction. "In my opinion, fear is the most powerful emotion," Palmer, originally from London, said.


How Apple is taking AI to the masses

#artificialintelligence

If you talk to our various teams -- the software team, Apple TV team, the mail team, the home pod team -- all of them have AI projects going on. Apple's AI roots date back to the mid-1990s with handwriting recognition on the Newton," says Gene Munster, Founder of research firm Loup Ventures. In June, Apple announced Core ML, a platform that allows application developers to easily integrate machine learning (ML) into an app. Apple reckons that its ownership of hardware, software and the silicon gives it a huge advantage over rival players who may have ownership of one or two elements of the ecosystem.


Meet the Netflix of Big Data & Data Science

@machinelearnbot

KDnuggets has the 7 Steps and Key Terms, Explained series (among others), as well as numerous in-house one-off tutorials and opinion pieces covering a wide variety of machine learning, data science, Big Data and AI topics, such as 10 Free Must-Read Books for Machine Learning and Data Science and Machine Learning overtaking Big Data? Netflix finds quality content from elsewhere and runs it as guest programming in order to increase reach, just as KDnuggets does with republished guest posts. Netflix syndicates quality content originally found elsewhere, which has allowed so very many British shows to make their way to North America for mass consumption, as but one example of this. KDnuggets also runs quality tutorials, overviews, and opinion pieces from other blogs and sites around the web, in order to increase their exposure.


Hard numbers: The mathematical architectures of Artificial Intelligence

#artificialintelligence

Above statistics we have data mining, which is the process of using generalised algorithms to find patterns in data. Wherever you set the bar, I guarantee that you will find that the system you are calling AI is heavily dependent on machine learning, which only works if we have data mining, which relies heavily on statistics, which is fundamentally founded on maths. We have a good understanding of machine learning so any system that simply learns a set of rules from raw data and then applies them is not AI; it is machine learning. From the evidence I have seen I don't believe that Fukoku Mutual Life Insurance has an AI system; it sounds like machine learning to me.


Hard numbers: The mathematical architectures of Artificial Intelligence

#artificialintelligence

Above statistics we have data mining, which is the process of using generalised algorithms to find patterns in data. Wherever you set the bar, I guarantee that you will find that the system you are calling AI is heavily dependent on machine learning, which only works if we have data mining, which relies heavily on statistics, which is fundamentally founded on maths. We have a good understanding of machine learning so any system that simply learns a set of rules from raw data and then applies them is not AI; it is machine learning. From the evidence I have seen I don't believe that Fukoku Mutual Life Insurance has an AI system; it sounds like machine learning to me.


Cisco: Utilities can predict the future using IoT

ZDNet

Everything across the utilities landscape should be connected, instrumented, and measured, according to Cisco Australia CTO Kevin Bloch, in order to move forward from automating operations to augmenting human decision making and predicting the future using the Internet of Things (IoT). Lack of banking API in Australia is'crazy': Cannon-Brookes ACCC moves to deny Australian banks collective bargaining rights against Apple Switkowski: 'I did not breach caretaker conventions' with NBN opinion piece Lack of banking API in Australia is'crazy': Cannon-Brookes Switkowski: 'I did not breach caretaker conventions' with NBN opinion piece "Data has really got three major impacts," Bloch said. "Number one, extending human intelligence or human decision making, so you're enabling people to make decisions faster and smarter than they could otherwise do, and that applies to a technician out there all the way through to the integrations centre. "At the same time, there's incredible advancements in the software side as well, in terms of AI -- artificial intelligence -- cognitive science, and deep learning.


Raja Mandala: Artificial intelligence, real politics

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Media reports say an artificial intelligence (AI) system called MogIA, developed by Sanjiv Rai, an innovator based in Mumbai, has predicted that Donald Trump will win Tuesday's presidential elections in the United States. In any case, new technologies like artificial intelligence, on which MogIA is based, are already being used to influence social media interactions. According to researchers from Oxford University, nearly one-third of tweets favouring Trump and one-fifth promoting Clinton between the first and second election debates came from handles run by robots -- together, they produced more than a million tweets. As advanced societies debate AI, Delhi seems strangely passive.


Ashby: Artificial intelligence already displaying the flaws of its inventors

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It's a question posed by the "partnership on AI" formed by major American technology firms. The goal of the partnership, which includes Google, IBM, Microsoft and Facebook, is to "conduct research, recommend best practices, and publish research under an open license (sic) in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology." That's the type of artificial intelligence that technology companies investing in machine learning have focused on. As Microsoft researcher and MIT professor Kate Crawford pointed out recently in The New York Times, "Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many'intelligent' systems that shape how we are categorized and advertised to," thanks to the overwhelmingly homogenous hiring patterns in major technology firms.


Is it ok to speak ill of the dead?

Los Angeles Times

To the editor: Ann Friedman's opinion piece touched home. To the editor: Friedman's piece defending badmouthing of the dead is just more proof of the hypocrisy of liberals. Bayer buying Monsanto, Uber's self-driving cars, Cup of noodles is changing its recipe, new battle over child vaccination, an Emmys preview, the new Chevy Bolt, Ryan Lochte's "Dancing with the Stars" premiere gets overshadowed by protesters. Bayer buying Monsanto, Uber's self-driving cars, Cup of noodles is changing its recipe, new battle over child vaccination, an Emmys preview, the new Chevy Bolt, Ryan Lochte's "Dancing with the Stars" premiere gets overshadowed by protesters.


o EDITION

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In my opinion, the marriage of the leading professional social network and the world's largest software company demonstrates that we are decidedly at the start of a new era in software, where proprietary data is king, and will start to come bundled together with software. We've seen this rise in the consumer realm, where technology companies are fundamentally aggregating and analyzing user behavior, and providing value back to users (and, of course, advertisers.) There are countless other examples that also demonstrate that consumer technology puts behavioral and user data front and center, in a way that I expect we will start to see from the enterprise as the divide between these two segments starts to collapse. Taken together, this demonstrates that proven machine learning algorithms have both the horsepower and access to granular datasets that are unprecedented.