Replacing traditional encryption schemes.
What are the prime factors, or multipliers, for the number 15? Most grade school students know the answer — 3 and 5 — by memory. A larger number, such as 91, may take some pen and paper. An even larger number, say with 232 digits, can (and has) taken scientists two years to factor, using hundreds of classical computers operating in parallel.
Audi RSQ – a fantastic car. Certainly a design icon, but first of all, a movie star. The Audi RSQ was the first car we developed for a motion picture – with great success. This sporty coupé for the 2004 Hollywood science-fiction “I, Robot” was a visionary concept of what a car might look like in 2035. Four designers, ten model engineers, ten weeks, all creative liberties – that’s what it took to create this Audi of the future.
What was really unique and visionary about the Audi RSQ: It was the first Audi demonstrating piloted driving capabilities. Here is one of my favorite moments in the movie – a moment that tells you a lot about piloted driving:
The Audi RSQ is going autonomously in a busy, but fluent traffic situation. Suddenly, the car comes under heavy attack by enemy robots. Actor Will Smith in his role of a police officer decides to take over. Like all heroes, he wants to manage and control critical situations by himself. But his lady co-driver does not trust him and says: “Oh no, don’t do it! It is too dangerous to control the car by yourself!” And she is right, he is damaging the car a few minutes later.
This dialogue is a great lesson in future technology:
What was science-fiction in 2004, became reality only ten years later. Today, we connect driver, car and environment in an intuitive way. Today, our cars are ready for piloted driving and piloted parking. Piloted driving is a great example of how we turn technical vision into emotional premium products that fascinate customers around the globe.
As an innovation driver for the automotive industry, we count on a proven formula of success: Pioneering solutions + precision engineering + partnering with the best. We partner with the leaders in automotive and consumer electronics, in battery systems, in research and education.
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.
However, in a paper, academics from University College London’s Knowledge Lab argue that AI systems could simulate human one-to-one tutoring by delivering learning activities tailored to a student’s needs and providing targeted and timely feedback, all without an individual teacher present.
“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?”
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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This is going to require a few good books. But choose them carefully.
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
In recent years, in the field of machine learning, which is a central technology in artificial intelligence, deep learning technology has been attracting attention as a way to automatically extract feature values needed to interpret and assess phenomena without rules being taught manually. Especially in the IoT era, massive volumes of time-series data are being accumulated from devices. By applying deep learning to this data and classifying it with a high degree of accuracy, further analyses can be performed, holding the prospect that it will lead to the creation of new value and the opening of new business areas.
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.
The engineers had to recreate some of Otzi’s parts from scratch, a feat possible thanks to 3D modeling techniques. From the release:
“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.”
“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.”
