Lifeboat Foundation

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.

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

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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.

Continue reading “This Driveless Shuttle Bus Will Soon be on Dutch Public Roads” »

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.

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:

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

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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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