Lifeboat Foundation

PlaNet, made by a team led by Google computer vision specialist Tobias Weyand, can determine the location of photos just by studying its pixels.

You can usually tell where a picture was taken by recognizing certain location cues within the photo. Major landmarks like the Great Wall of China or the Tower of London are immediately recognizable and fairly easy to pinpoint, but how about when the photo lacks any familiar location cues, like a photo of food, of pets, or one taken indoors?

People do fairly well on this task by relying on all sorts of knowledge about the world. You could figure out where a photo was taken by looking at any words found on the photo, or by looking at the architectural styles or vegetation.

Continue reading “Google’s Superhuman Computer Can Tell Where Nearly Any Photo Was Taken” »

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.

10nm tech is coming in 2017.

As robots become more pervasive in society, humans will want them to do chores like cleaning the house or cooking, researchers said.

However, to get a robot started on a task, people who are not computer programmers will have to give it instructions, they said.

“We want everyone to be able to programme, but that is probably not going to happen,” said Matthew Taylor from Washington State University (WSU).

Continue reading “Technique to Teach Robots New Tricks Developed: Study” »

By 2050, the world will need to feed an additional 2.5 billion people living in cities. Yet as the demand for food rises, the amount of land available for agriculture in developed countries is expected to decline. In Japan, at the Fujitsu factory of Aizu-Wakamatsu which still manufactures semiconductor chips for computers, a different project is underway which may offer a solution to this problem. The company has converted an unused part of the factory into a farm to grow food — and more specifically, to grow lettuce. Fujitsu has focused on growing a low-potassium variety, which is sold to people with kidney problems who cannot process the mineral properly. Join Rachel Mealey in Japan’s Fukushima Prefecture to visit the sun-free and soil-free urban farms of the future.

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).

Continue reading “Lethal Autonomous Weapons” »

Awesome.

What once took months by some of the world’s leading scientists can now be done in seconds by undergraduate students thanks to software developed at the University of Waterloo’s Institute for Quantum Computing, paving the way for fast, secure quantum communication.

Researchers at the Institute for Quantum Computing (IQC) at the University of Waterloo developed the first available software to evaluate the security of any protocol for Quantum Key Distribution (QKD).

Continue reading “Computing a secret, unbreakable key” »

Google unveils custom TPU chip, which it says advances computing performance by three generations.

Finally, some well deserved recogonition to Argonne Natl. Labs in their efforts on QC with the Univ. Of Chicago.

If biochemists had access to a quantum computer, they could perfectly simulate the properties of new molecules to develop novel drugs in ways that would take the fastest existing computers decades.

Electrons represent an ideal quantum bit, with a “spin” that when pointing up can represent a 0 and down can represent a 1. Such bits are small—even smaller than an atom—and because they do not interact strongly, they can remain quantum for long periods. However, exploiting electrons as qubits also poses a challenge because they must be trapped and manipulated. Which is exactly what David Schuster, assistant professor of physics, and his collaborators at UChicago, Argonne National Laboratory and Yale University have done.

Continue reading “New device steps toward isolating single electrons for quantum computing” »