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Jan 27, 2019

Cambridge University releases a brain-training app that improves concentration akin to Ritalin

Posted by in categories: entertainment, neuroscience

Decoder, developed in collaboration with a games developer, gets users to assume the role of an intelligence officer tasked with breaking up global criminal gangs (users are able to select a character and their backstory).

To meet the objective, users have to identify different combinations of number strings in missions littered with distraction.

Winning each mission means users unlock letters of the next criminal location (the higher the score, the more letters revealed).

Continue reading “Cambridge University releases a brain-training app that improves concentration akin to Ritalin” »

Jan 27, 2019

Paralyzed Individuals Operate Tablets Using Brain Waves

Posted by in categories: biotech/medical, neuroscience

Paralyzed individuals can now operate tablets using brain waves.

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Jan 27, 2019

High-Speed & High-Definition Book Scanner

Posted by in category: electronics

This is how they digitize books 📚.

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Jan 27, 2019

A new tooth-mounted sensor will soon help you lose weight

Posted by in category: electronics


 the sensor can monitor how much sugar, salt, and alcohol a person has consumed, and transmit that information wirelessly to a mobile app.


Although there are many advantages, it could be problematic for one particular group of people.

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Jan 27, 2019

AI Helps Amputees Walk With a Robotic Knee

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

A movie montage for modern artificial intelligence might show a computer playing millions of games of chess or Go against itself to learn how to win. Now, researchers are exploring how the reinforcement learning technique that helped DeepMind’s AlphaZero conquer chess and Go could tackle an even more complex task—training a robotic knee to help amputees walk smoothly.


Computer algorithms help prosthetics wearers walk within minutes rather than requiring hours of training.

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Jan 27, 2019

AI technology accelerates and augments legal work

Posted by in categories: law, robotics/AI

Law firms are under tremendous pressure to innovate to provide better value to their clients, who demand more value for their legal dollars. Providing higher-value services in turn boosts firms’ competitiveness.

However, much of the day-to-day work of any legal office – whether it’s in-house counsel, a boutique firm or one of the largest legal power houses – is the tedious, repetitive work of reading and preparing answers to complaints. Larger firms may have armies of junior associates do much of this necessary but mundane case-preparation work. At smaller firms, partners and senior associates are often involved in all stages of litigation. Preparing responses is time-consuming. It can take several hours to a full day to complete. Those are hours that both attorneys and firms would prefer to use tackling more strategic legal work.

We asked ourselves, what if, instead of taking hours, those high-volume, repetitive tasks could take a couple of minutes?

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Jan 27, 2019

These billion-dollar cities are straight out of science fiction, and they will soon become a reality

Posted by in category: futurism

The technologies in these billion-dollar megaprojects rival science fiction.

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Jan 27, 2019

A Child’s Puzzle Helped Uncover How Magnets Really Work

Posted by in category: physics

The physics of ferromagnetism has long befuddled scientists, but a familiar puzzle is getting them closer to an answer.

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Jan 27, 2019

Washington has declared a public health emergency over measles

Posted by in category: health

There are more than 30 cases in Clark County, near Portland, Oregon.

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Jan 27, 2019

Microsoft, MIT help self-driving cars learn from AI ‘blind spots’

Posted by in categories: robotics/AI, transportation

A collaboration of researchers from MIT and Microsoft have developed a system that helps identify lapses in artificial intelligence knowledge in autonomous cars and robots. These lapses, referred to as “blind spots,” occur when there are significant differences between training examples and what a human would do in a certain situation — such as a driverless car not detecting the difference between a large white car and an ambulance with its sirens on, and thus not behaving appropriately.

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