Lifeboat Foundation

Fujitsu Laboratories today announced that it has developed deep learning technology that can analyze time-series data with a high degree of accuracy. Demonstrating promise for Internet-of-Things applications, time-series data can also be subject to severe volatility, making it difficult for people to discern patterns in the data. Deep learning technology, which is attracting attention as a breakthrough in the advance of artificial intelligence, has achieved extremely high recognition accuracy with images and speech, but the types of data to which it can be applied is still limited. In particular, it has been difficult to accurately and automatically classify volatile time-series data–such as that taken from IoT devices–of which people have difficulty discerning patterns.

Now Fujitsu Laboratories has developed an approach to deep learning that uses advanced mathematical techniques to extract geometric features from time-series data, enabling highly accurate classification of volatile time-series. In benchmark tests held at UC Irvine Machine Learning Repository that classified time-series data captured from gyroscopes in wearable devices, the new technology was found to achieve roughly 85% accuracy, about a 25% improvement over existing technology. This technology will be used in Fujitsu’s Human Centric AI Zinrai artificial intelligence technology. Details of this technology will be presented at the Fujitsu North America Technology Forum (NAFT 2016), which will be held on Tuesday, February 16, in Santa Clara, California.

Background

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Re-creating the Ice Man — 3D Printer Style.

Otzi, for those not up on their 5,300-year-old mummified men, died and was frozen in the Alps near Hauslabjoch on the border between Austria and Italy. His body is one of the best preserved human mummies in Europe and now he’s getting a 3D-printed makeover.

Researchers and engineers have worked together with 3D-printing firm Materialise to perfectly scan Otzi. This allows researchers to 3D print his tortured frame over and over again and, in an interesting episode of Nova, an artist will create a perfect replica of the mummy for study by researchers and potential museum-goers. Otzi, for his part, his hanging out in a climate-controlled vault in Italy so he doesn’t degenerate.

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“Researchers at the Georgia Institute of Technology say that while there may not be one specific manual, robots might benefit by reading stories and books about successful ways to act in society.”

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“You can learn how to improve your novice pilot skills by having your brain zapped with recorded brain patterns of experienced pilots via transcranial direct current stimulation (tDCS), according to researchers at HRL Laboratories.”

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However, one also must look at the past for insights and guidance on things that were done wrong to ensure bad history is not repeated.

Therefore, let me share with you a part of history that we need to be aware of and protect our future from ever repeating again.

Many folks have never heard of Poor Farms in the South and Poor Houses in some parts of the Midwest. Before soc. Security and Welfare we had poor farms/ houses. They date from the late 1800s until 1930s.

Poor farms/ houses were often filled with the elderly and others that had no money or anyone to take care them. People often worked the land for 16+ hours days, dressed in rags, and had very little to eat. Once you were there you could not leave ever until you died.

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This is a excellent use for the robots.

Brenau University students will soon be able to “be in the classroom” even from remote locations thanks to robots the school will be using.

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When governments value people they find creative ways of making people even more valuable in their local economies and communities. In turn, people return the compliment by contributing to the building of stronger local economies.

When governments do not value people they inadvertently create systems that stifle inventiveness and trap people in cycles of state dependency and long-term unemployment.

The Servicemen’s Readjustment Act of 1944, known informally as the G.I. Bill, is widely (across all political spectrums; around the world) considered one of the most successful pieces of legislation ever passed. It made provisions that effectively created ‘bonds’ to enable low-cost mortgages, low-interest business start-up loans, cash payments for educational return at all entry points, as well as one year of unemployment benefit for returning servicemen. Canada saw similar results for its programs of support for Second World War veterans. Few would argue that this investment in the human capital of service men and women in turn contributed enormously to the overall wealth of both nations to this day.

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A new documentary from PBS reveals how cutting edge science enables us to ‘edit’ memories — and create new ones from scratch.

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As much as the title states India isn’t ready for AI; much of the world isn’t fully ready either. Very few businesses are planning and prepping for an AI transformation or introduction into their businesses or companies; many schools still require newer methods (if not a program/ set of courses) to teach AI; many financial structures like insurance for business using AI capabilities such as robots that will interact regularly with the public are not widely available for businesses; etc. Lots of planning and work remains even across the US for AI adoption to truly be appreciated by the masses.

India still not ready for Artificial Intelligence (Tech Feature) — New Delhi, Feb 10 : At a time when the global technology giants are set to leverage the benefits of Artificial Intelligence (AI) for your daily lives — from taking care of businesses to fulfilling your personal needs — India seems to be reluctant to get on to this bus.

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