Lifeboat Foundation

This is one that truly depends on the targeted audience. I still believe that the 1st solely owned & operated female robotics company will make billions.

Beyond correct pronunciation, there is the even larger challenge of correctly placing human qualities like inflection and emotion into speech. Linguists call this “prosody,” the ability to add correct stress, intonation or sentiment to spoken language.

Today, even with all the progress, it is not possible to completely represent rich emotions in human speech via artificial intelligence. The first experimental-research results — gained from employing machinelearning algorithms and huge databases of human emotions embedded in speech — are just becoming available to speech scientists.

Continue reading “How designers are grappling with the challenges of creating a computer ‘personality’” »

Radiation works as a ‘tuning fork’ to control the spin of electrons.

Scientists have found a new way of moving information between quantum bits in a computer. They used a highly purified sample of silicon doped with bismuth atoms (left) before fitting a superconducting aluminium resonator to it (middle and right).

Continue reading “Could microwaves finally crack quantum computing?” »

Theoretical physicists at MIT recently reported a quantum computer design featuring an array of superconducting islands on the surface of a topological insulator. They propose basing both quantum computation and error correction on the peculiar behavior of electrons at neighboring corners of these islands and their ability to interact across islands at a distance. “The lowest energy state of this system is a very highly entangled quantum state, and it is this state that can be used to encode and manipulate qubits,” says graduate student Sagar Vijay, lead co-author of the paper on the proposed system, with senior author Liang Fu, associate professor of physics at MIT, and Timothy H. Hsieh PhD ’15. As Vijay explains it, the proposed system can encode logical qubits that can be read by shining light on them. At the simplest level of explanation, the system can characterize the state of a quantum bit as a zero or a one based on whether there is an odd or even number of electrons associated with a superconducting quantum bit, but the underlying physical interactions that allow this are highly complex.

Read more

Scientists at the University of Southampton have made a major step forward in the development of digital data storage that is capable of surviving for billions of years.

Using nanostructured glass, scientists from the University’s Optoelectronics Research Centre (ORC) have developed the recording and retrieval processes of five dimensional (5D) digital data by femtosecond laser writing.

The storage allows unprecedented properties including 360 TB/disc data capacity, thermal stability up to 1,000°C and virtually unlimited lifetime at room temperature (13.8 billion years at 190°C ) opening a new era of eternal data archiving.

Read more

“Computers are becoming more and more intelligent in the sense that they adapt to us.”

Read more

Frankly brainwashing tactics never worked with me. I am not sure what the media is up to; but this is truly become a bit ridiculous. Up until last week; the media and dooms day believers where telling everyone in the next 10 years; most of the jobs would no longer be held by humans. Until me and a few other folks on the web started sharing the facts on why that was not a reality. So, recently, the journalists new story is in 30 years most of the jobs will be taken by robots.

Again, we will settle down from the hype and learn that the reality is people will have jobs because new careers will be created plus some of the corporate and special skilled jobs that we have today have too much access to IP and other private information. And, this type of information most companies will want some level of human oversight managing the information and operations around it. Also, we will see that in order to keep creativity and real innovation moving forward that we will always need humans involved.

Continue reading “Machines could make half of humans unemployed in 30 years” »

The pace at which robots and intelligent machines are able to take over the jobs traditionally performed by humans will result in more than half the population being unemployed within 30 years, an expert in computing has predicted.

While some may look forward to a life of leisure, many others face the dismal prospect of long-term unemployment as a result of the rise of smart machines, from self-driving cars and intelligent drones to smart financial-trading machines, said Moshe Vardi, professor of computational engineering at Rice University in Houston, Texas.

Read more

Why? Why are there so many folks hyping up AI devastation?

I truly caution folks from over hyping things before they hurt a lot of innocent people. Things like Quantum Computing and Internet, CRISPR, microbot technology, etc. could be badly damaged as a result of the over hype of AI and it’s under delivery.

Also, the ongoing changing numbers on when 50% of the jobs are lost or the ongoing shuffle/ changes in the capabilities of the AI story is also creating an environment of distrust which also hurts efforts around Quantum, CRISPR, etc.

Continue reading “Intelligent Robots Threaten Millions of Jobs” »

GPS is an utterly pervasive and wonderful technology, but it’s increasingly not accurate enough for modern demands. Now a team of researchers can make it accurate right down to an inch.

Regular GPS registers your location and velocity by measuring the time it takes to receive signals from four or more satellites, that were sent into space by the military. Alone, it can tell you where you are to within 30 feet. More recently a technique called Differential GPS (DGPS) improved on that resolution by adding ground-based reference stations—increasing accuracy to within 3 feet.

Now, a team from the University of California, Riverside, has developed a technique that augments the regular GPS data with on-board inertial measurements from a sensor. Actually, that’s been tried before, but in the past it’s required large computers to combine the two data streams, rendering it ineffective for use in cars or mobile devices. Instead what the University of California team has done is create a set of new algorithms which, it claims, reduce the complexity of the calculation by several order of magnitude.

Read more