Lifeboat Foundation

It will still be a while before scientists are able to harness Superman-like laser vision, but the technology is now closer than ever before thanks to a new development from the University of St Andrews. The team there have created an ultra-thin membrane laser using organic semiconductors, which is for the first time compatible with the requirements for safe operation in the human eye. Even though the membrane is super thin and flexible, it’s durable, and will retain its optical properties even after several months spent attached to another object, such as a bank note or, more excitingly, a contact lens.

The ocular laser, which has so far been tested on cow eyes, is able to identify sharp lines on a flat background — the ones and zeros of a digital barcode — and could be harnessed for new applications in security, biophotonics and photomedicine. Team member Professor Malte Gather said: “Our work represents a new milestone in laser development and, in particular, points the way to how lasers can be used in inherently soft and ductile environments, be it in wearable sensors or as an authentication feature on bank notes.”

Life is moving faster and faster. Just about everything—transportation, weapons, the flow of information—is accelerating. How will decisionmakers preserve our personal and national security in the face of hyperspeed?

The central role of public spaces in the social, cultural, political and economic life of cities makes it crucial that they’re accessible to everyone. One of the most important qualities of accessible public spaces is safety. If people do not feel safe in a public space, they are less likely to use it, let alone linger in it.

Perceptions of safety are socially produced and socially variable. It is not simply the presence of crime – or “threatening environments” – that contributes to lack of safety or fear.

All sorts of measures are put in place to make public spaces safer, from design to policing. But when we consider the effectiveness of these measures, we always have to ask: whose safety is being prioritised?

Berlin 26th April 2018 – The first full scale model of the European Medium-Altitude Long-Endurance Remotely Piloted Aircraft (MALE RPAS) was unveiled today during a ceremony held at the 2018 ILA Berlin Air Show, which opened its gates at Schönefeld airport.

The reveal ceremony, led by Dirk Hoke, Airbus Defence and Space Chief Executive Officer (CEO), Eric Trappier, Dassault Aviation Chairman and CEO and Lucio Valerio Cioffi, Leonardo’s Aircraft Division Managing Director, confirms the commitment of the four European States and Industrial partners to jointly develop a sovereign solution for European Defence and Security.

The unveiling of the full scale model and the reaffirmed commitment comes after a nearly two-year definition study launched in September 2016 by the four participating nations Germany, France, Italy and Spain and follows the Declaration of Intent to work together on a European MALE unmanned aerial system signed by the countries in May 2015.

Continue reading “Airbus, Dassault Aviation and Leonardo reaffirm their total commitment in the first fully European MALE programme” »

Sometimes sensitive data, like passwords or keys that unlock encrypted communications, are accidentally left open for anybody to see. It’s happened everywhere from the Republican National Committee to Verizon, and as long as information can be public on the internet the trend isn’t going to stop.

But researchers at software infrastructure firm Pivotal have taught AI to locate this accidentally public sensitive information in a surprising way: By looking at the code as if it were a picture. Since modern artificial intelligence is arguably better than humans at identifying minute differences in images, telling the difference between a password and normal code for a computer is just like recognizing a dog from a cat.

The best way to check whether private passwords or sensitive information has been left public today is to use hand-coded rules called “regular expressions.” These rules tell a computer to find any string of characters that meets specific criteria, like length and included characters. But passwords are all different, and this method means that the security engineer has to anticipate every kind of private data they want to guard against.

Continue reading “Artificial intelligence can scour code to find accidentally public passwords” »

Processors with artificial intelligence will spread from today’s top-end phones to cars, PCs, security cameras, smart speakers and mainstream phones.

MIT spin off company Ayar Labs is combining light and electronics to create faster, more efficient computers. The new optoelectronic chips are designed to speed up data transmission to and from conventional processor chips in a way that will also reduce energy consumption in chip-to-chip communications by 95 percent and could cut overall energy usages by large data firms by up to 50 percent.

Since the invention of the silicon chip 60 years ago, the power of computers has doubled every two years, but the speed at which computer systems work hasn’t shown quite such dramatic progress. The problem is one of data transmission and the bottlenecks that any technology runs into, slowing down the whole to the speed of its most sluggish part.

Think of a computer as like an air passenger system. If you concentrate on the aircraft, airport runway architecture, supply logistics, and air traffic control, it’s easy to speed up travel between, for example, New York and Washington DC to under one hour. That sounds fantastic, but if it takes you two hours to get through security at one hand and another two hours to collect your baggage at the other, then it’s faster to drive.

Associated Press historical news archive articles dating back to 1985.

The startup is demanding that developers keep test units in a locked safe.