Lifeboat Foundation

Moon Shot will focus on the people behind some of the teams competing for the $30 million prize.

I fully support this only when the net and infrastructure is secured from hackers.

Artificial intelligence should be used to provide children with one-to-one tutoring to improve their learning and monitor their well-being, academics have argued.

One-to-one tutoring has long been thought the most-effective approach to teaching but would be too expensive to provide for all students.

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“Online abuse can be cruel – but for some tech companies it is an existential threat. Can giants such as Facebook use behavioural psychology and persuasive design to tame the trolls?”

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Unfortunately, much of this (teaching morals, developing a defense plan in case of a preemptive strike, etc,) is not going to work and key reason is simple. Robots are and will always be a machine at it’s core foundation. And, as a result, criminals and terrorists will be able to pay enough money to someone to over ride the technology; therefore, enabling criminals and others to do whatever they wish with the technology.

Instead of trying to promote book reading as a means to preventing an up rising; let’s be a little more realistic in this by stating we’re teaching the machine to have more of an interpersonal approach in its communications and interactions with people. Also, I highly encourage robotic companies need to include a well diverse engineering team especially where robotics is being developed for domestic usage and caregiver usage; otherwise, you will be only as good as the next competitor’s product that did include a right mix of engineers and deliver a better product that meets both male and female needs as well as cultural needs.

In other words, it will be hard for a robot designed & created with a dominate male (20 to 30 something year olds) minded to relate how a female 50 yr old thinks about her house. Again, I would love to see more females get into this space especially female owned companies because they could truly own this market.
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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.

Continue reading “History: I know that we often write about the future, etc” »