Lifeboat Foundation

Using machine learning, computers have come up with codes that let them send secret messages to each other – but they’re still a long way off humans.

Summary: Brain-to-text system could help people with speech difficulties to communicate, researchers report.

Source: Frontiers.

Recent research shows brain-to-text device capable of decoding speech from brain signals.

Continue reading “Can A Brain Computer Interface Convert Your Thoughts to Text?” »

Nice.

Scientists have created an inexpensive technique to print “data skin” — soft wearable electronics — paving way for smart tattoos that can be customised and printed at home.

Researchers created a fully functional “data skin” in under an hour. Since the method is based on inexpensive processing tools and materials, the circuits can be produced for less than a dollar.

Continue reading “Soon, print your own smart tattoos, wearable fitness trackers” »

What does the future hold for computing? Experts at the Networked Quantum Information Technologies Hub (NQIT), based at Oxford University, believe our next great technological leap lies in the development of quantum computing.

Quantum computers could solve problems it takes a conventional computer longer than the lifetime of the universe to solve. This could bring new possibilities, such as advanced drug development, superior military intelligence, greater opportunities for space exploration and enhanced encryption security.

Continue reading “The exciting new age of quantum computing” »

Using ultrafast laser flashes, physicists from the Max Planck Institute have generated the fastest electric current that has ever been measured inside a solid material.

In the field of electronics, the principle ‘the smaller, the better’ applies. Some building blocks of computers or mobile phones, however, have become nearly as small today as only a few atoms. It is therefore hardly possible to reduce them any further.

Another factor for the performance of electronic devices is the speed at which electric currents oscillate. Scientists at the Max Planck Institute of Quantum Optics have now created electric currents inside solids which exceed the frequency of visible light by more than ten times They made electrons in silicon dioxide oscillate with ultrafast laser pulses. The conductivity of the material which is typically used as an insulator was increased by more than 19 orders of magnitude.

Continue reading “Scientists Generate the Fastest Electric Current Ever Measured Inside a Solid Material” »

A nice read on the who’s who in QC: congrats Vern Brownell and Michelle S. in making the top 13 list.

Leaders in quantum computing discuss the challenges and potential for this technology across finance, AI, and many other fields.

What happens when you knock the carbon out of diamonds? You end up maintaining 100 percent quantum integrity; therefore, you can now transmit multitude of Qubits together over a long distance instead of 1 Qubit in one transmission and among multiple QC Devices.

New breakthrough paves the way for the first practical quantum computers

Quantum computers are a reality but unlike the first traditional computers, which were large enough to fill a room, most of today’s quantum computers are very small with one, five, or even 16 qubits at their core and getting to the point where we have a truly practical quantum computer is going to require component by component advances until, one day, we get to the point where all of the blocks “just work”.

Continue reading “Scientists slam carbon out of diamonds to create the first quantum computing bridge” »

Lawrence Berkeley National Laboratory scientists have developed a new “magnetoelectric multiferroic*” material that could lead to a new generation of computing devices with more computing power while consuming a fraction of the energy that today’s electronics require.

An artificial intelligence method developed by University College London computer scientists and associates has predicted the judicial decisions of the European Court of Human Rights (ECtHR) with 79% accuracy, according to a paper published today (Monday, Oct. 24) in PeerJ Computer Science.

The method is the first to predict the outcomes of a major international court by automatically analyzing case text using a machine-learning algorithm.*.