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Facebook Debuts PyTorch 1.3 With PyTorch Mobile, Quantization, TPU Support and More

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Facebook has updated its popular open-source deep-learning library PyTorch. The latest version, PyTorch 1.3, includes PyTorch Mobile, quantization, and Google Cloud TPU support. The release was announced today at the PyTorch Developer Conference in San Francisco. PyTorch Mobile enables an end-to-end workflow from Python to deployment on iOS and Android. Facebook believes it is increasingly important to be able to run machine learning models on devices such as today's supercharged smartphones, as this delivers lower latency and can help preserve data privacy for example through federated learning approaches. Currently, PyTorch Mobile is in the experimental mode and remains under examination and development.


How IoT sensors and machine learning can make e-scooters safer

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Electric scooters are invading America, with scooters from popular brands including Lime, Bird, Spin, Lyft, and Uber becoming commonplace in major city centers. These dockless scooters, which are controlled by mobile app, accounted for 45.8% of all micromobility trips in 2018; this number is significant, considering 84 million micromobility trips were taken in 2018 alone, the National Association of City Transportation Officials reported. The success of scooters are built on the promises of reducing traffic congestion, providing a more efficient and cost-effective means of travel, and decreasing harmful emissions, according to the INRIX's Micromobility Potential in the US, UK and Germany report. However, scooters are also responsible for at least 1,500 injuries and eight fatalities of US riders since late 2017. The injuries and deaths have caused many US cities to take pause, with Atlanta recently banning scooter usage during nighttime hours, and San Diego considering a temporary ban.


Flu's spread is unpredictable. Can AI yield more reliable forecasts? - STAT

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Flu season reliably arrives around this time every year -- but where the virus heads and how it will spread can seem wildly unpredictable. Now, artificial intelligence is playing a bigger role in trying to change that. One startup is using data collected from thermometers to develop algorithms to derive insights about flu activity that it could sell to retailers, consumer-goods makers, and perhaps even health systems. Academic researchers are refining sophisticated AI models, including using machine learning and statistical methods to recognize patterns and map out future trajectories. Unlock this article by subscribing to STAT Plus and enjoy your first 30 days free!


University of Artificial Intelligence launched in Abu Dhabi

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Abu Dhabi: Taking another step in the world of artificial intelligence (AI), Abu Dhabi on Wednesday announced the opening of the world's first โ€ฆ


How AI-enabled marketing can lower website bounce rates and improve accessibility

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Marketers always strive hard to boost website traffic. A significant metric which quantifies the performance of websites is the bounce rate, indicating the percentage of users who leave without delving any further than the initial page. In this context, it is important to understand web accessibility. The Americans with Disabilities Act (ADA) became law in 1990. It prohibits discrimination against people with disabilities and provides equal opportunities for accessing the web to all users.


Why Most Companies Are Failing at Artificial Intelligence: Eye on A.I. โ€“ Fortune

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Most companies that say they're using artificial intelligence have yet to gain any value from their A.I. investments. A survey from MIT Sloan Management Review and Boston Consulting Group released Tuesday found that companies that view A.I. as merely a "technology thing," akin to a product rather than a business overhaul, fail to gain financial results. The survey's authors defined the "value" of an A.I. project as lifting sales, reducing costs, or creating a new product. The survey, based on responses from nearly 2,500 executives, found that seven out of ten companies report little to no impact from their A.I. projects so far. Overall, 40% of the surveyed companies that have made "significant investments" in A.I. have yet to report any business gains.


Quantemplate raises over $12 million for AI insurance and reinsurance data solutions

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Quantemplate, a startup providing self-service, cloud-based automated data solutions for insurers and reinsurers, today revealed that it raised over $12 million in a recent funding round led by Route 66 Ventures and Transamerica Ventures, with participation from Anthemis Group, Allianz X, and Insight Catastrophe Group. The raise brings the New York- and London-based company's total raised to over $25 million, which CEO David Lundgren said will fuel R&D and customer acquisition as Quantemplate grows its global sales and marketing teams. Coinciding with the capital infusion, Quantemplate also announced the general availability of its platform. "With this recently secured round of funding, Quantemplate is primed and ready to present our proven technology to the [insurance and reinsurance] industry. We are eager to provide the unique tools and insights customers need to make business processes more efficient, while at the same time appreciating a more comprehensive assessment of risk," said Lundgren.


Machine Learning: Digital Transformation Trend

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The year 2018 was marked by numerous positive developments for infsoft. At DMEA โ€“ Connecting Digital Health, Europe's largest health IT event, we presented our digital applications for all areas of the healthcare industry.


University of Artificial Intelligence launched in Abu Dhabi

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Located in Masdar City with the latest state-of-the-art facilities and equipment, the university will offer both masters (two years) and PhD programmes (four years) for local and international graduate students across three main specialised fields โ€“ machine learning, computer vision and natural language processing โ€“ as the UAE looks to equip the next generation of students with the latest expertise in the field of AI.


Young climate activists, artificial intelligence experts and 25 reasons for hope - Bulletin of the Atomic Scientists

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While many news stories focus on the pitfalls of technology, Wired did something a little different and put together a cover story of 25 people and groups who the magazine says are "racing to save us." From climate change to the growing power of big tech behemoths, the world is facing any number of challenges, in some cases existential ones. The innovations that facilitate our lives are frequently double edged swords. The power plants that quench our thirst for electricity are spewing planet warming emissions into the atmosphere. The facial recognition algorithms that can help organize smartphone photo collections also have inherent biases against women and minorities.