DEVELOPMENT


AI: The history of a problem – Becoming Human

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AI, Neural Networks, Machine Learning and other buzzwords are not new; they are with us from late 50s, but why did they become so much of a trend only now? The business focus changed from investing into so-called "artificial intelligence" to development of systems that could work with already gathered data, process and re-structurize it. Bayes was widely used in anti-spam, Markov's chains predicted criminal structure behavior, search engines developed decision trees to predict user input, speech and image recognition was no miracle anymore, and it was good. Basically, we returned to 50s -- we are trying to create universal structures, mimic human brain, and create entities that can process mixed data as our brains do.


Microsoft is building a better HoloLens with a new chip focused on machine learning

PCWorld

Microsoft's HoloLens may have largely faded from public view, but that doesn't mean that Microsoft's halted development on it. On Sunday, Microsoft researchers disclosed that HoloLens development is moving ahead, with a new chip that emphasizes machine learning. Specifically, Microsoft said the next generation of its Holographic Processing Unit, or HPU, will support Deep Neural Network processing, with an emphasis on artificial intelligence, or AI. Harry Shum, executive vice president of the Artificial Intelligence and Research Group, recently showed off the second version of the HPU.


Microsoft touts new HoloLens chip as breakthrough in AI

Daily Mail

Not even Microsoft has been able to tackle one of the biggest challenges preventing tech companies from bringing seamless artificial intelligence experiences to phones and augmented reality goggles without wrecking the user experience - until now. The pre-production version was released in 2016 and targeted to U.S. developers for $3000 The company says the addition of the extra processor to its current chip design is the answer for improving the AI experience on its HoloLens mixed reality goggles and that it's the first chip of its kind designed for mobile. Harry Shum, Microsoft's executive vice president of Artificial Intelligence and Research Group, announced the second version of the chip, known as the Holographic Processing Unit, or HPU, during a keynote speech at CVPR 2017. The company says the addition of the extra processor to its current chip design is the answer for improving the AI experience on its HoloLens mixed reality goggles and that it's the first chip of its kind designed for mobile.


Here's why True AI Won't Come From Deep Learning

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Since the dawn of computing technology, developers created programs and algorithms by writing code that machines translate into precise instructions. Instead of code-writing the way a program solves a problem, the program "learns" to solve it on its own. In a not too dissimilar way than the human brain, unsupervised AI would recognize new patterns, label them on its own and classify them without human prior input. Per MIT Technology Review, Quoc Le (one of Google's Brain research scientists) has identified "unsupervised learning" as the biggest challenge to developing true AI that can learn without the need for labeled data.


Reasons Why Mobile Apps Have Become Sophisticated in 2017

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As long as mobile apps proceed to get significant attention, there is a waxing involvement (a few might say exaggeration) connected to artificial intelligence with chat room and personal digital subordinates(think Siri, Cortana, Alexa as well as Google) being the recent technology insanity, motivated by the proceeding technology enterprises like Google, Amazon and also Facebook. The powerful fusion of portable computing podiums, large information and the cloud, neural connections and profound knowledge employing graphics processing units (GPUs) to yield artificial intelligence (AI). The speed of transformation will require a more critical velocity of change that can be backed up by podium technologies that are by cloud local application change, small-services architectures, robust and user-central proceedings and modern technology that supports activeness and measurement. Red Hat among healthcare organizations in the United States and Europe patrons a current examination which unveiled that even in big organizations with more than 7,500 employees, the current number of mobile apps developed till today is not more than 19.


The Reality of the Artificial Intelligence Revolution - Talend

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The capability to teach machines to interpret data is the key underpinning technology that will enable more complex forms of AI that can be autonomous in their responses to input. There have been obvious failings of this technology (the unfiltered Microsoft chatbot, "Tay," as a prime example), but the application of properly developed and managed artificial systems for interaction is an important step along the route to full AI. There are so many repetitive tasks involved in any scientific or research project that using robotic intelligence engines to manage and perfect the more complex and repetitive tasks would greatly increase the speed at which new breakthroughs could be uncovered. Learning from repetition, improving patterns, and developing new processes is well within reach of current AI models, and will strengthen in the coming years as advances in Artificial Intelligence – specifically machine learning and neural networking – continue.


Quest for AI Leadership Pushes Microsoft Further Into Chip Development

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Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


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#artificialintelligence

Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


China is using AI to predict who will commit crime next

Mashable

According to a report from the Financial Times, authorities are tapping on facial recognition tech, and combining that with predictive intelligence to notify police of potential criminals, based on their behaviour patterns. And tech like Cloud Walk's shows that people can be marked for past behaviour, too. The crime technology is dependent on other AI techniques like behavioural recognition and gait analysis, and it is reportedly even able to pick out suspicious people in crowds. Another Chinese company, named UniView, tracks individuals who frequently travel to sensitive countries like Myanmar and Vietnam and automatically marks them.


China artificial intelligence bid seeks $59 billion industry

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China aims to make the artificial intelligence industry a "new, important" driver of economic expansion by 2020, according to a development plan issued by the State Council. Policymakers want to be global leaders, with the AI industry generating more than 400 billion yuan ($59 billion) of output per year by 2025, according to an announcement from the Cabinet late Thursday. CSG Smart Science & Technology Co. climbed as much as 9.3 percent in Shenzhen before closing 3.1 percent higher, while intelligent management software developer Mesnac Co. surged 9.8 percent after hitting the 10 percent daily limit in earlier trading. The State Council directive also called for China's businesses, universities and armed forces to work more closely in developing the technology.