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Category: robotics/AI – Page 2419

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.

Continue reading “The Real Truth Behind the Rise of Robo-Advisors” | >

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.

Continue reading “Scientists call for ban on autonomous killer robots” | >

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

Continue reading “This Two-in-One Satellite Will Bring Us One Step Closer to Asteroid Mining” | >

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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This just in: Aipoly Vision* — a free AI app that runs on your iPhone/iPad** (Android coming) and recognizes objects and colors — is now live on the App store, Aipoly Inc. co-founder Alberto Rizzoli just told me in an email.

Of course, I immediately downloaded the app, launched it on my iPhone 6s+, and tested it. It works spectacularly. Its voice names objects or colors in real time as a walk around and also displays objects’ names. I am blown away. Here’s a sample:

Informal Aipoly Vision object-recognition test (credit: A. Angelica/Aipoly Inc.)

Aside from a few minor glitches (the swivel chair was also named “office” and “padded stool” and a banana was also named “bug” and “handle” — but I taught it the right name using its “pencil” tool), Aipoly Vision was astoundingly accurate. Colors were a problem with small objects because of backgrounds, but works OK for most large objects, walls, and floors, the company says.

Continue reading “‘Aipoly Vision’ AI app opens up the world live for visually impaired” | >

Overall, this is a good article. However, for AI to truly take off across industry; you must understand the industries that you’re trying to enable. I keep finding this gap in all of the AI discussions.

Yes, we have opportunities in the consumer space; however, if you truly want to be embraced by industry to enable it’s front and back office operations you must ensure that the AI that you’re developing can easily support and enable businesses. Granted not all AI belongs in business and are sometimes better suit for the consumer space or government and vice versa. However, when designing and developing AI; you truly have to know up front who is your primary targeted audience and remain focused towards that audience.

Dr. Kailash Nadh, who holds a PhD in artificial intelligence from London’s Middlesex University and is the CTO of financial technology firm Zerodha, talks about why AI hasn’t picked up yet and what lies in the future.

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