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Archive for the ‘information science’ category: Page 9

Aug 20, 2019

New Hand-Tracking Algorithm Could Be a Big Step in Sign Language Recognition

Posted by in categories: information science, mobile phones, robotics/AI

Several companies, like SignAll and Kintrans, have created hand-tracking software that tries, with little success so far, to allow the millions of people that use sign language and an app to easily communicate with anyone.

Now, a new hand-tracking algorithm from Google’s AI labs might be a big step in making this ambitious software everything it originally promised.

RELATED: THIS SMARTPHONE APP CAN SAVE YOUR LIFE WITH JUST 3 WORDS

Aug 19, 2019

“Gerevivify The Algorithm/elixir of Life”

Posted by in categories: biotech/medical, information science

Aren Jay shared this cogent article to my Timeline… It is not new even Hippocrates was able to determine that the gut causes and or assists in all diseases. But the 19th and 20th centuries researchers began saying that microbes are good for mankind which sent science reeling through generations until this day… Respect r.p.berry & AEWR wherein we have developed a formula and Algorithm that deals with this very serious problem completely. A very expensive cure but one that will take Woman-Man past the Escape Velocity so many have written about…

Aug 18, 2019

What You Need To Know First About The Inexplicable World Of Quantum Computing

Posted by in categories: computing, information science, quantum physics

Down the road

The end game for quantum computing is a fully functional, universal fault-tolerant gate computer. To fulfill its promise, it needs thousands, maybe even millions, of qubits that can run arbitrary quantum algorithms and solve extremely complex problems and simulations.

Before we can build a quantum machine like that, we have a lot of development work to be done. In general terms, we need:

Aug 18, 2019

It is hypothesized that these equations are necessary for measuring the geometrical configuration of mindspace. Find out more

Posted by in category: information science

Find out more: http://theory-of-thought.com/blog/approximations-foundation-hidden-framework/

Aug 17, 2019

How Hotels use Big Data to Generate New Revenues

Posted by in category: information science

Hotel revenue management and use of analytics for room sales has remained largely unchanged for decades since the early 1980s when hotels started looking at yield and how they could optimize the revenue each room could generate. By the mid-1990’s, Marriott’s successful execution of revenue management strategies were adding between $150 — $200 million in annual revenue and thus marked the beginning of data intelligence to drive new revenue.

Fast forward to 2016 — and the part insight, part intuition, part data-driven approach to revenue management largely hasn’t moved into the new age of big data for most hoteliers.

There is a new application of data modelling hotels are utilizing to see big gains in RevPAR (Revenue Per Available Room) and this comes through price differentiation. That is — dynamically displaying different room rates for every person that views your hotel search price query.

Aug 17, 2019

Google Tutorial on Machine Learning

Posted by in categories: information science, robotics/AI

This presentation was posted by Jason Mayes, senior creative engineer at Google, and was shared by many data scientists on social networks. Chances are that you might have seen it already. Below are a few of the slides. The presentation provides a list of machine learning algorithms and applications, in very simple words. It also explain the differences between AI, ML and DL (deep learning.)

Aug 14, 2019

A machine-learning revolution

Posted by in categories: biotech/medical, information science, robotics/AI

The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers – harnessed to algorithms refined over the past decade – are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers.

Aug 13, 2019

Researchers discover that the rate of telomere shortening predicts species lifespan

Posted by in categories: biotech/medical, information science, life extension, mathematics

A flamingo lives 40 years and a human being lives 90 years; a mouse lives two years and an elephant lives 60. Why? What determines the lifespan of a species? After analyzing nine species of mammals and birds, researchers at the Spanish National Cancer Research Center (CNIO) found a very clear relationship between the lifespan of these species and the shortening rate of their telomeres, the structures that protect the chromosomes and the genes they contain. The relationship is expressed as a mathematical equation, a formula that can accurately predict the longevity of the species. The study was done in collaboration with the Madrid Zoo Aquarium and the University of Barcelona.

“The telomere shortening rate is a powerful predictor of ,” the authors write in the prestigious journal Proceedings of the National Academy of Sciences (PNAS).

The study compares the telomeres of mice, goats, dolphins, gulls, reindeer, vultures, flamingos, elephants and humans, and reveals that species whose telomeres shorten faster have shorter lives.

Aug 13, 2019

Google’s algorithm for detecting hate speech is racially biased

Posted by in categories: information science, robotics/AI

Algorithms meant to spot hate speech online are far more likely to label tweets “offensive” if they were posted by people who identify as African-American.


AI systems meant to spot abusive online content are far more likely to label tweets “offensive” if they were posted by people who identify as African-American.

The news: Researchers built two AI systems and tested them on a pair of data sets of more than 100,000 tweets that had been annotated by humans with labels like “offensive,” “none,” or “hate speech.” One of the algorithms incorrectly flagged 46% of inoffensive tweets by African-American authors as offensive. Tests on bigger data sets, including one composed of 5.4 million tweets, found that posts by African-American authors were 1.5 times more likely to be labeled as offensive. When the researchers then tested Google’s Perspective, an AI tool that the company lets anyone use to moderate online discussions, they found similar racial biases.

Continue reading “Google’s algorithm for detecting hate speech is racially biased” »

Aug 13, 2019

AI could be your wingman—er, wingbot—on your next first date

Posted by in categories: habitats, information science, mobile phones, robotics/AI

The art of matchmaking has traditionally been the province of grandmas and best friends, parents, and even—sometimes—complete strangers. Recently they’ve been replaced by swipes and algorithms in an effort to automate the search for love. But Kevin Teman wants to take things one step further.

The Denver-based founder of a startup called AIMM has built an app that matches prospective partners using just what they say to a British-accented AI. Users talk to the female-sounding software to complete a profile: pick out your dream home, declare whether you consider yourself a “cat person,” and describe how you would surprise a potential partner.

Continue reading “AI could be your wingman—er, wingbot—on your next first date” »

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