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Archive for the ‘robotics/AI’ category: Page 2312

Jan 31, 2016

Why Your Digital Virtual Assistants Will Need a Virtual Manager

Posted by in category: robotics/AI

Interesting article. As I have mentioned before; there will be new positions created.


NEWS ANALYSIS: The day is coming when some people have so many virtual assistants they will need a virtual manager to direct their “virtual staff.” But how many virtual assistants are too many?

The availability and use of digital virtual assistants—software-based artificial intelligence services that do things for you—is about to explode.

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Jan 31, 2016

Health Apps Study Raises Questions About Digital Medicine’s Future

Posted by in categories: biotech/medical, genetics, health, nanotechnology, robotics/AI

First, this study is very biased and flawed. Secondly, have the tech companies considered all of the resistance that we’re all going to face with the provider and payer communities plus their lobbyists when we try to promote medical AI, nanobots, etc.

I have seen some resistance mounted by some providers, some pharma, etc. against CRISPR. And, I believe this type of resistance is only going to hurt patients as well as many cancer survivors with a genetic predisposition to cancer, and other genetic mutations.


A study of mobile health apps’ impact on health care costs represents a limited but crucial step for assessing digital medicine.

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Jan 31, 2016

London’s first driverless cars based on Heathrow ‘pods’

Posted by in categories: robotics/AI, transportation

A driverless ‘pod’ that will take to the streets of London in July will resemble the electric passenger shuttle at Heathrow Airport.

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Jan 31, 2016

The Real Truth Behind the Rise of Robo-Advisors

Posted by in categories: finance, information science, robotics/AI, space

Nice! Robo-advice will be accessed by investors worth $2.2 trillion by 2020, equivalent to 12% of the global retail funds.


If you’re a finance professional, the question you probably get asked most by your friends and acquaintances is “what investments they should make”? That’s the basic question that everyone with money will ask. They may ask the “financial advisor” at their bank, they may turn to Google for advice, they may ask their “friends who work in finance”, or they may listen to recommendations of people they trust. However, individuals with a high net worth will typically seek out a wealth management firm with a brand they trust. But which firm?

Try to Google “top wealth management firms” and the first 5 search results will be a comparison of the top 100 wealth management firms. That’s a very competitive space. How do you differentiate yourself from your 99 competitors who are essentially trying to so the same thing you are? One way is through the use of technology, and as a result we see the rise of “robo advisors”. Here’s the definition of a “robo-advisor” from Investopedia:

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Jan 30, 2016

Scientists call for ban on autonomous killer robots

Posted by in categories: futurism, robotics/AI

Good luck with that.


GRAUBUNDEN, SWITZERLAND – The world must act quickly to avert a future in which autonomous robots with artificial intelligence roam the battlefields killing humans, scientists and arms experts warned at an elite gathering in the Swiss Alps.

Rules must be agreed to prevent the development of such weapons, they said at a January 19–23 meeting of billionaires, scientists and political leaders in the snow-covered ski resort of Davos.

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Jan 30, 2016

IBM Watson Personality Insights can now offer an unbiased analysis of any given body of text in matter of seconds

Posted by in category: robotics/AI

ibm.co/1nByxoQ

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Jan 30, 2016

This Driveless Shuttle Bus Will Soon be on Dutch Public Roads

Posted by in categories: robotics/AI, transportation

In a first, a driverless bus will now have to undergo real world traffic while shuttling passengers as a public trial on Dutch roads begins.

While Google and Uber are currently experimenting with self-driving cars, other companies are adapting the same idea to public transportation. Trials for driverless buses and trains are currently ongoing across the world.

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Jan 30, 2016

How AlphaGo Mastered the Game of Go with Deep Neural Networks

Posted by in categories: computing, entertainment, information science, policy, robotics/AI, space

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence due to its enormous search space and the difficulty of evaluating board positions and moves.

Google DeepMind introduced a new approach to computer Go with their program, AlphaGo, that uses value networks to evaluate board positions and policy networks to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play. Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte-Carlo tree search programs that simulate thousands of random games of self-play. DeepMind also introduce a new search algorithm that combines Monte-Carlo simulation with value and policy networks. Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the European Go champion by 5 games to 0. This is the first time that a computer program has defeated a human professional player in the full-sized game of Go, a feat previously thought to be at least a decade away.

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Jan 30, 2016

This Two-in-One Satellite Will Bring Us One Step Closer to Asteroid Mining

Posted by in categories: robotics/AI, satellites, space

Lonestar developed by Texas A&M is a possible tool that prospectors can utilize to locate mining opportunities on asteroids.


Astronauts fired this small, rectangular hunk from the International Space Station today. The payload will separate into two autonomous satellites as part of a research program to take us one tiny step closer towards making asteroid mining a reality.

If we ever want to mine asteroids, we’re going to need to step up our game for multiple satellites sharing data and working together. A pair of Texan universities are working together on a four-mission sequence to create a pair of robots that can autonomously rendezvous and dock in space. The project is called Low Earth Orbiting Navigation Experiment for Spacecraft Testing Autonomous Rendezvous and Docking — or Lonestar if you ignore the D.

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Jan 29, 2016

Harvard wants to build AI that works as fast as the human brain

Posted by in categories: computing, neuroscience, robotics/AI, transportation

Researchers at Harvard are working to identify the brain processes that make humans so good at recognising patterns. Their ultimate goals is to develop biologically-inspired computer systems for smarter AI. Computers inspired by the human brain could be used to detect network invasions, read MRI images, and even drive cars.

Their ultimate goals is to develop biologically-inspired computer systems for smarter AI.

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