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Category: information science

Interesting and true on many situations; and will only expand as we progress in areas of AI, QC, and Singularity as well.

The use of algorithms to filter and present information online is increasingly shaping our everyday experience of the real world, a study published by Information, Communication & Society argues.

Associate Professor Michele Willson of Curtin University, Perth, Australia looked at particular examples of computer algorithms and the questions they raise about personal agency, changing world views and our complex relationship with technologies.

Algorithms are central to how information and communication are located, retrieved and presented online, for example in Twitter follow recommendations, Facebook newsfeeds and suggested Google map directions. However, they are not objective instructions but assume certain parameters and values, and are in constant flux, with changes made by both humans and machines.

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Big Data and 3D.

3D printing remains one of those technological areas that holds a great amount of fascination. What began as a type of niche market has expanded rapidly in the past few years to encompass nearly every industry out there, from the medical field to manufacturing.

The outlook is a positive one in terms of 3D printing’s future, with Gartner predicting the amount of spending on 3D printers to exceed more than $13 billion in 2018. While 3D printing has always held a lot of promise, one of the factors truly taking the concept to the next level is big data.

In much the same way that big data has benefited businesses of all types and sizes, it has proven to play a pivotal role in the growth of 3D printing. As more organizations get a firm grasp on how best to use both big data analytics and 3D printing capabilities, the two areas will form a more established and interdependent relationship.

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Electronic computer technology has moved from valves to transistors to progressively more complex integrated circuits and processor designs, with each change bringing higher levels of performance. Now the advent of quantum computers promises a huge step increase in processor performance to solve certain types of problems.

Quantum computers are much faster than the world’s fastest supercomputers for some applications. In 1994 Peter Shor, an applied mathematician at Bell Laboratories, gave the encryption world a shock when he demonstrated an algorithm showing that quantum computers could threaten conventional prime number based encryption methods.

If an adversary conducts successful espionage raids on encrypted information stored in present technology computer installations, possibly through a compromised or issue-motivated individual who transfers it to portable media, it could become vulnerable to decryption by that rival’s quantum computers.

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Interesting…

However, new research carried out at the University of Waterloo and University of Lethbridge, in Canada, argues there is a much longer measureable minimum unit of time.

If true, the existence of such a minimum time changes the basic equations of quantum mechanics.

This means our understanding of how the universe operates on a very small scale may need to reconsidered.

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Big Data and Obama’s Brain Initiative — As we harness mass volumes of information and the current tech explosion around information; we will seeing an accelerated growing need/ urgency for more advance AI, QC, and new brain-mind interface intelligence to assist others when working with both super-intelligence AI and the mass volumes of information.

Engineers are experimenting with chip design to boost computer performance. In the above layout of a chip developed at Columbia, analog and digital circuits are combined in a novel architecture to solve differential equations with extreme speed and energy efficiency. Image: Simha Sethumadhavan, Mingoo Seok and Yannis Tsividis/Columbia Engineering.

In the big data era, the modern computer is showing signs of age. The sheer number of observations now streaming from land, sea, air and space has outpaced the ability of most computers to process it. As the United States races to develop an “exascale” machine up to the task, a group of engineers and scientists at Columbia have teamed up to pursue solutions of their own.

The Data Science Institute’s newest working group— Frontiers in Computing Systems —will try to address some of the bottlenecks facing scientists working with massive data sets at Columbia and beyond. From astronomy and neuroscience, to civil engineering and genomics, major obstacles stand in the way of processing, analyzing and storing all this data.

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BTW — make sure you view that reference whitepaper on the new quantum algorithms on OEM boards.

ComNav Technologies has released its new generation Quantum algorithm to international market. The Quantum algorithm can be easily achieved through a firmware upgrade (version 2.5.2 and above), and suits all ComNav OEM boards and OEM-based receivers.

An upgrade to ComNav’s Quan algorithm, the Quantum algorithm dramatically improves the stability and reliability of RTK positioning in complex environments, as well as providing a DP-filter enhancement for the ComNav GNSS products.

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MIT researchers have created an algorithm that hopes to understand human visual social cues and predict what would happen next. Giving AI the ability to understand and predict human social interaction could one day pave the way to efficient home assistant systems as well as intelligent security cameras that can call an ambulance or the police ahead of time.

MIT’s Computer Science and Artificial Intelligence Laboratory created an algorithm that utilizes deep learning, which enables artificial intelligence (AI) to use patterns of human interaction to predict what will happen next. Researchers fed the program with videos featuring human social interactions and tested it to see if it “learned” well enough to be able to predict them.

The researchers’ weapons of choice? 600 hours of Youtube videos and sitcoms, including The Office, Desperate Housewives, and Scrubs. While this lineup may seem questionable, MIT doctoral candidate and project researcher Carl Vondrick reasons out that accessibility and realism were part of the criteria.

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The Zapata technology platform is the safest, easiest, lightest, most maneuverable, and least expensive personal aviation system ever created.

Capable of being operated with only 20 hours of flight training, or in fully autonomous mode with GPS guidance, ZAPATA’s proprietary balance methodology and algorithms are truly disruptive.

ZAPATA’s technology and innovative products will unlock hundreds of applications across multiple industry sectors, from military and rescue to entertainment and recreation.

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Good for USC.

Following a recent upgrade, the USC-Lockheed Martin Quantum Computing Center (QCC) based at the USC Information Sciences Institute (ISI) is now the leader in quantum processing capacity.

With the upgrade — to 1,098 qubits from 512 — the D-Wave 2X™ processor is enabling QCC researchers to continue their efforts to close the gap between academic research in quantum computation and real-world critical problems.

The new processor will be used to study how and whether quantum effects can speed up the solution of tough optimization, machine learning and sampling problems. Machine-learning algorithms are widely used in artificial intelligence tasks.

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Cloud syncing and sharing software company Dropbox today announced that it has released an image compression algorithm called Lepton under an Apache open source license on GitHub.

Lepton can both compress and decompress files, and for the latter, it can work while streaming — that is, files can be expanded back into full size as they are being sent over the network. So Lepton is important for user experience, given how it can more quickly transfer data and show content. But at the same time, it has an impact on the data center infrastructure where files often end up.

“We have used Lepton to encode 16 billion images saved to Dropbox, and are rapidly recoding our older images. Lepton has already saved Dropbox multiple petabytes of space,” Dropbox software systems architect Daniel Reiter Horn wrote in a blog post.

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