Microsoft speaks to the ethics of AI

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To showcase the latest in artificial intelligence, Microsoft recently hosted an "underground" tour, two days' worth of virtual reality demos, product prototypes, programming and platform innovation, research news and philosophical musings on the future of AI from technological, social and business perspectives. AI progress can be attributed to a number of factors, including advancements in processing power, powerful new algorithms, data availability, cloud computing, and machine and deep learning capabilities. One of the more compelling milestones that furthered the cause for many applications was Microsoft's achievement late last year of error rates that are on par with, if not better than, human benchmarks – under 5.9 percent for speech recognition and 3.5 percent for image recognition. Autonomous cars, smart homes, automated assistants, translation apps, virtual and augmented reality were all represented over the course of the event as part of the AI spectrum. But the most compelling discussions were those that went beyond technical wizardry (which was impressive in itself) to explore the social and cultural impacts of AI.


Global Bigdata Conference

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News concerning Artificial Intelligence (AI) abounds again. The progress with Deep Learning techniques are quite remarkable with such demonstrations of self-driving cars, Watson on Jeopardy, and beating human Go players. This rate of progress has led some notable scientists and business people to warn about the potential dangers of AI as it approaches a human level. Exascale computers are being considered that would approach what many believe is this level. However, there are many questions yet unanswered on how the human brain works, and specifically the hard problem of consciousness with its integrated subjective experiences.


Future of Medical Diagnostics Industry using AI and Deep learning MarkTechPost

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Who thought in 1950's that AI and deep learning will make self-driving cars and impossible missions like Mission Mars almost possible. While these innovations are not only getting possible but also the future predictions are getting quite interesting as well. While everyone is predicting future of AI mostly in the Software sector, I believe the most influential application of AI-based Nanochip will be in the medical diagnostics industry. These bot chips can be implanted in human brain just like currently a female can implant a birth control rod in her arm and can avoid taking pills. This nano biochip NBC will be biocompatible and will be programmed.


The Real Potential of AI (hint: it's not robots)

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This week Stanford was the center of attention in the artificial intelligence community after it published news that it trained a deep learning model that diagnoses skin cancer as accurately as a dermatologist. The algorithm apparently can identify a cancerous mole with nothing more than a picture, meaning it could be put into the hands of anyone with a simple smartphone -- otherwise known as a pocket supercomputer. Deep learning is revolutionizing the way innovators can apply AI and data science to solve real-world problems. Image classification, facial recognition, computational linguistics, translation, augmented reality, self-driving cars -- all of these fields have made huge leaps in the last several years as computer scientists apply the rapidly-developing machine learning models that empower them. With all the excitement around these developments, one starts to wonder…what does a future with advanced AI look like?


AI Will Change Radiology, but It Won't Replace Radiologists

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Recent advances in artificial intelligence have led to speculation that AI might one day replace human radiologists. Researchers have developed deep learning neural networks that can identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. For the most part, though, the best systems are currently on par with human performance and are used only in research settings. That said, deep learning is rapidly advancing, and it's a much better technology than previous approaches to medical image analysis. This probably does portend a future in which AI plays an important role in radiology.