background preloader

Why Self-Driving Cars Must Be Programmed to Kill

Why Self-Driving Cars Must Be Programmed to Kill
When it comes to automotive technology, self-driving cars are all the rage. Standard features on many ordinary cars include intelligent cruise control, parallel parking programs, and even automatic overtaking—features that allow you to sit back, albeit a little uneasily, and let a computer do the driving. So it’ll come as no surprise that many car manufacturers are beginning to think about cars that take the driving out of your hands altogether (see “Drivers Push Tesla’s Autopilot Beyond Its Abilities”). These cars will be safer, cleaner, and more fuel-efficient than their manual counterparts. And yet they can never be perfectly safe. And that raises some difficult issues. The answers to these ethical questions are important because they could have a big impact on the way self-driving cars are accepted in society. So can science help? So they set out to discover the public’s opinion using the new science of experimental ethics. Here is the nature of the dilemma.

Related:  Robotic-old2Artificial IntelligencefrjeNegative and Positive PointsIA

Yamaha built a motorcycle-driving robot, and it's already challenging a world champion The Tokyo Motor Show, known for far-out concepts, is underway in Japan. We've already seen some pretty strange designs ourselves, but none of them are anything like what Yamaha just announced: an autonomous, motorcycle-riding humanoid robot called Motobot. There's little detail beyond an impressive video of Motobot cruising around an abandoned airfield. We see it take turns, tap the clutch, and twist the throttle, all while somehow remaining upright. It's quite an impressive sight to behold, even if the robot still needs a pair of training wheels. It drives, it speaks, and it's taking aim at the best MotoGP driver Big Data’s Mathematical Mysteries At a dinner I attended some years ago, the distinguished differential geometer Eugenio Calabi volunteered to me his tongue-in-cheek distinction between pure and applied mathematicians. A pure mathematician, when stuck on the problem under study, often decides to narrow the problem further and so avoid the obstruction. An applied mathematician interprets being stuck as an indication that it is time to learn more mathematics and find better tools.

New Delhi: Shop till you drop New Delhi strains under the weight of its own UNESCO World Heritage sites. What with the towering minaret of Qutb Minar, the glorious Humayun's tomb and the imposing Red Fort Mughal palace, visitors can feel swamped by the sheer abundance of history on display. But India's capital city provides more than just awe-inspiring spectacles of its ancient past. With a preponderance of market stalls, bazaars, shopping malls and street vendors, New Delhi is a consumer paradise, lending a much-needed retail counterpoint to all that earnest sightseeing. To help you separate the glad rags from the plain old rags, here's CNN's at-glance-guide to shopping your way through New Delhi.

Brick Laying Robot Lays 1,000 Bricks an Hour, Builds 150 Homes a Year By: David Russell Schilling | July 24th, 2015 Brick Laying Robot Hadrian An Australian company, Fastbrick Robotics, has invented a new brick laying machine it calls Hadrian after the ancient Roman Emperor who reigned from 117 AD to 138 AD and was renowned for the amount of construction he oversaw.

Machine Learning Inspired by Human Learning Fig. 1. People can learn rich concepts from limited data. (A and B) A single example of a new concept (red boxes) can be enough information to support the (i) classification of new examples, (ii) generation of new examples, (iii) parsing an object into parts and relations (parts segmented by color), and (iv) generation of new concepts from related concepts. Taking inspiration from the way humans seem to learn, scientists have created AI software capable of picking up new knowledge in a far more efficient and sophisticated way.

Samsung Techwin STAR UGV / Autonomous Robot Robots are going to do many things for us. In the future, smart unmanned ground vehicles will perform surveillance and other important tasks without needing an operator. The Samsung Techwin STAR UGV happens to be a smart vehicle that detects its surrounding environment and finds the optimal path to its destination based on the data it has access to. As you can see in the above video, the robot is quite versatile and features 4-wheel independent driving. Kevin Cunningham has more information about it on Vimeo. [Source] Beyond Zero and One: Machines, Psychedelics, and Consciousness by Andrew Smart review – inside the minds of computers Do androids dream of electric Kool-Aid acid tests? If there’s to be any hope for us, they will. That is the message of Andrew Smart’s splendidly mind-bending book, which mashes up Alan Turing, The Matrix, Immanuel Kant, “zombie AI”, Leibniz, and research on psychedelic drugs. In our age of techno-utopianism, we are routinely told in crypto-religious terms about the coming “Singularity” – the creation of superintelligent, conscious machines.

Drones programmed for light painting in the sky What do you get when you put LEDs on a system of drones and then program them to fly in formation? Spaxels from the Ars Electronic Futurelab. Spaxels are quadcopters equipped with a programmable LED system. They comprise a swarm that’s able to fly in formation and “draw” dynamic three-dimensional figures in the night sky. The Ars Electronica Futurelab is the sole player in this field, the only one capable of working with aesthetic forms of expression that were previously possible only on a computer and, via spaxels, translating them into the real world of a three-dimensional airspace.

Processors That Work Like Brains Will Accelerate Artificial Intelligence Picture a person reading these words on a laptop in a coffee shop. The machine made of metal, plastic, and silicon consumes about 50 watts of power as it translates bits of information—a long string of 1s and 0s—into a pattern of dots on a screen. Meanwhile, inside that person’s skull, a gooey clump of proteins, salt, and water uses a fraction of that power not only to recognize those patterns as letters, words, and sentences but to recognize the song playing on the radio. Computers are incredibly inefficient at lots of tasks that are easy for even the simplest brains, such as recognizing images and navigating in unfamiliar spaces. Machines found in research labs or vast data centers can perform such tasks, but they are huge and energy-hungry, and they need specialized programming. Google recently made headlines with software that can reliably recognize cats and human faces in video clips, but this achievement required no fewer than 16,000 powerful processors.

Dobot: Robotic Arm for Everyone, Arduino & Open Source by Dobot will be open sourced after the Kickstarter campaign. As a group of devoted open source fans, we believe open source makes the world better by levering the power of collective minds. Yet to help you understand better of what we do, we are working around the clock on some of the code that need more notations and explanations. But we make our promise here that after the Kickstarter campaign, we will upload the code. Keep in touch, there are more surprises to come.

How close are we to creating artificial intelligence... It is uncontroversial that the human brain has capabilities that are, in some respects, far superior to those of all other known objects in the cosmos. It is the only kind of object capable of understanding that the cosmos is even there, or why there are infinitely many prime numbers, or that apples fall because of the curvature of space-time, or that obeying its own inborn instincts can be morally wrong, or that it itself exists. Nor are its unique abilities confined to such cerebral matters. The cold, physical fact is that it is the only kind of object that can propel itself into space and back without harm, or predict and prevent a meteor strike on itself, or cool objects to a billionth of a degree above absolute zero, or detect others of its kind across galactic distances. But no brain on Earth is yet close to knowing what brains do in order to achieve any of that functionality. Why?

How Facebook plans to evaluate its quest for generalized artificial intelligence One of the biggest misconceptions about artificial intelligence is the belief that today’s AIs possess generalized intelligence. We are really good at leveraging large data sets to accomplish specific tasks, but fall flat at replicating the breadth of human intelligence. If we’re going to move toward generalized intelligence, Facebook wants to make sure we know how to evaluate progress. In a paper, Facebook’s AI Research (FAIR) lab outlines just that as part of its CommAI framework. Engineers look to insects for robotic inspiration At a University of California, Berkeley laboratory, engineers are building cockroach-like robots with a noble purpose - search and rescue. Smaller than the palm of a hand and weighing an ounce, the robots are fast, nimble, and equipped with microphones and thermostats to detect sound and heat. "Imagine there's a warehouse that's collapsed," said Ronald Fearing, the director of UC Berkeley's Biomimetic Millisystems Lab, which developed the VelociRoach robot.

A Google DeepMind Algorithm Uses Deep Learning and More to Master the Game of Go Google has taken a brilliant and unexpected step toward building an AI with more humanlike intuition, developing a computer capable of beating even expert human players at the fiendishly complicated board game Go. The objective of Go, a game invented in China more than 2,500 years ago, is fairly simple: players must alternately place black and white “stones” on a grid of 19 horizontal and 19 vertical lines with the aim of surrounding the opponent’s pieces, and avoiding having one’s own pieces surrounded. Mastering Go, however, requires endless practice, as well as a finely tuned knack of recognizing subtle patterns in the arrangement of the pieces spread across the board.