#TheDAO (Distributed Autonomous Organization) is the hottest new form of investment built on revolutionary (Transparency, Democracy, Decentralization).
Our own Robin Hanson has been an inspiration:
“The slogan is vote on values, bet on beliefs. What you need are discreet decisions and then you need an outcome that you care about.”
Your next pair of Adidas shoes may be put together by robots — the German sports retailer has said it will start selling its first robot-produced shoes in a new, state-of-the-art factory in its home market starting 2017.
The announcement came as Adidas unveiled its prototype “Speedfactory”, a state-of-the-art, 4,600 square-meter facility on Tuesday, meant to automate shoe production, which is largely done manually in Asian factories at the moment.
The new production site in the southern German city of Ansbach is still under construction, but it represents a return to local production for Adidas, which stopped manufacturing shoes in its home market more than two decades ago in favor of Asia.
In the minuscule world of nanotechnology, big steps are rare. But a recent development has the potential to massively improve our lives: an engine measuring 200 billionths of a metre, which could power tiny robots to fight diseases in living cells.
Life itself is proof of the extreme effectiveness of nanotechnology — the manipulation of matter on a molecular or atomic scale — in which DNA, proteins and enzymes can all be considered as machinery. In fact, researchers have managed to make micro-propellers using tiny strands of DNA. These strands can be stitched together so freely and precisely that the practise is known as “DNA origami”. However, DNA origami lacks force and operational speed (it takes time measurable in seconds), reducing its robotic function.
Advances in microchips—particularly the graphics-processing units pioneered by Nvidia—are fueling growth in machine learning, a programming approach in which computers teach themselves without explicit instructions.
Biography: Stuart Russell received his B.A. with first-class honours in physics from Oxford University in 1982 and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is Professor (and formerly Chair) of Electrical Engineering and Computer Sciences and holder of the Smith-Zadeh Chair in Engineering. He is also an Adjunct Professor of Neurological Surgery at UC San Francisco and Vice-Chair of the World Economic Forum’s Council on AI and Robotics. He has published over 150 papers on a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, and global seismic monitoring. His books include “The Use of Knowledge in Analogy and Induction”, “Do the Right Thing: Studies in Limited Rationality” (with Eric Wefald), and “Artificial Intelligence: A Modern Approach” (with Peter Norvig).
Abstract: Autonomous weapons systems select and engage targets without human intervention; they become lethal when those targets include humans. LAWS might include, for example, armed quadcopters that can search for and eliminate enemy combatants in a city, but do not include cruise missiles or remotely piloted drones for which humans make all targeting decisions. The artificial intelligence (AI) and robotics communities face an important ethical decision: whether to support or oppose the development of lethal autonomous weapons systems (LAWS).
BOSTON, May 19 (UPI) — Engineers at MIT and Harvard have designed a tiny bee-like robot capable of pausing mid-flight to perch on a variety of objects before once again taking to the air. The robot uses static electricity to momentarily cling to the underside of objects.
Robots designed for aerial surveys and related observational tasks, like quadcopters, are currently limited by short flight times. They tend to run out of battery rather quickly. While perching won’t extend a drone’s actual time in the air, the technology could empower UAVs to employ their power more strategically — periodically taking a moment to rest their wings, or blades.
Researchers tested their technology on RoboBee, a bug-like flying robot no bigger than a quarter. A small jolt of static electricity emitted through a tiny foam patch on the bee’s head allows it to land on and adhere to the underside of a plant or to the ceiling.