Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,576

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.

Today, we think of the all-purpose assistants like Google Now, Apple’s Siri, Microsoft’s Cortana, Facebook’s M and Amazon’s Alexa. To some degree, we feel compelled to choose which we’ll use.

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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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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:

A robo-advisor is an online wealth management service that provides automated, algorithm-based portfolio management advice without the use of human financial planners. Robo-advisors use the same software as traditional advisors, but usually only offer portfolio management and do not get involved in more personal aspects of wealth management, such as taxes and retirement or estate planning.

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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.

Angela Kane, the German UN High Representative for Disarmament Affairs from 2012–2015, said the world had been slow to take pre-emptive measures to protect humanity from the lethal technology.

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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.

But now, a new milestone has been reached.

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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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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.

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

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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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