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XPS 15 2-in-1’s maglev keyboard may find its way into other Dell laptops — Frank Azor

Much ado has been made of Dell’s new maglev keyboard, currently exclusive to the XPS 15 9575 2-in-1. Utilizing rare-earth magnets to repulse the keys back up once depressed, the keyboard still provides a decent amount of feedback despite its meager 0.7mm of travel.

In a late March webcast for Dell’s new products, the company’s Vice President & General Manager Alienware, Gaming and XPS, Frank Azor, mentioned that the keyboard could be adopted in more of Dell’s laptops — if it proves popular.

The major advantage of design is that it allows the laptop to be thinner, but not everyone is a fan. Though it provides more travel and feedback than Apple’s much-maligned “butterfly” keyboard, initial reviews suggest that the keyboard is basically tolerable, but it isn’t going to replace a ThinkPad’s keyboard anytime soon.

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Laptops to get maglev keyboards that reduce their thickness

Magnetic levitation keyboards have been around for a while, but they’ve never really taken off, or floated our boats, or attracted much atten… Anyway, a Taiwanese manufacturer called Darfon is persevering with the idea, and it’s discovered that maglev keys, which rest on opposing magnets instead of mushy membranes or mechanical switches, can make laptop keyboards significantly thinner. Unfortunately, according to a CNET journalist who played with a couple of prototypes at Computex, the keys can be hard to type on if skinniness is taken to the extreme. Then again, there’s scope to change the resistance of the keyboard electronically to suit your preference, and Darfon claims it has already received orders from laptop makers who are targeting launches later this year. If that’s true, perhaps the technology isn’t so repellant after all.

[Image credit: Aloysius Low / CNET].

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Quantum cloud computing with self-check

With a quantum coprocessor in the cloud, physicists from Innsbruck, Austria, open the door to the simulation of previously unsolvable problems in chemistry, materials research or high-energy physics. The research groups led by Rainer Blatt and Peter Zoller report in the journal Nature how they simulated particle physics phenomena on 20 quantum bits and how the quantum simulator self-verified the result for the first time.

Many scientists are currently working on investigating how quantum advantage can be exploited on hardware already available today. Three years ago, physicists first simulated the spontaneous formation of a pair of elementary particles with a digital quantum computer at the University of Innsbruck. Due to the error rate, however, more complex simulations would require a large number of quantum bits that are not yet available in today’s quantum computers. The analog simulation of quantum systems in a quantum computer also has narrow limits. Using a new method, researchers around Christian Kokail, Christine Maier und Rick van Bijnen at the Institute of Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences have now surpassed these limits. They use a programmable ion trap quantum computer with 20 quantum bits as a quantum coprocessor, in which quantum mechanical calculations that reach the limits of classical computers are outsourced.

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Exploring people’s perception of geometric features, personalities and emotions in videos with virtual humans

Researchers at Pontifical Catholic University of Rio Grande do Sul have recently carried out a study aimed at evaluating people’s perceptions of geometric features, personalities and emotions presented in video sequences with virtual humans. Their study, outlined in a paper pre-published on arXiv, merges computer science tools with psychology research practices.

“Our recent work is part of a larger project in collaboration with the psychology department at our university,” the researchers told TechXplore, via email. “The main idea is to investigate emotions, personalities and cultural aspects detection in pedestrians and crowds from video sequences. In the context of the present paper, this research involving comes from the need to know if users can perceive emotions and personalities in virtual characters and if camera’s position or type of character can influence their perception.”

For their experiments, the researchers adapted a dataset that contained tracking files of pedestrians captured in spontaneous videos, changing humans in the footage into identical virtual characters. Their goal was to evaluate whether people who watched the footage could focus on the behavior of the virtual humans in the videos instead of being distracted by other features.

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The Thesis on Consciousness and Experiential Realism: Digital Philosophy Perspective

A radically new view articulated now by a number of digital philosophers is that consciousness, quantum computational and non-local in nature, is resolutely computational, and yet, has some “non-computable” properties. Consider this: English language has 26 letters and about 1 million words, so how many books could be possibly written in English? If you are to build a hypothetical computer containing all mass and energy of our Universe and ask it this question, the ultimate computer wouldn’t be able to compute the exact number of all possible combinations of words into meaningful story-lines in billions of years! Another example of non-computability of combinatorics: if you are to be born and live your own life again and again in our Quantum Multiverse, you could live googolplex (10100) lives, but they all would be somewhat different — some of them drastically different from the life you’re living right now, some only slightly — never quite the same, and timeline-indeterminate.

Another kind of non-computability is akin to fuzzy logic but based on pattern recognition. Deeper understanding refers to a situation when a conscious agent gets to perceive numerous patterns in complex environments and analyze that complexity from the multitude of perspectives. That is beautifully encapsulated by Isaiah Berlin’s quote: “To understand is to perceive patterns.” The ability to recognize patterns in chaos is not straightforwardly algorithmic but rather meta-algorithmic and yet, I’d argue, deeply computational. The types of non-computability that I just described may somehow relate to the non-computable element of quantum consciousness to which Penrose refers in his work.

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