Lifeboat Foundation

For the past four decades, the electronics industry has been driven by what is called “Moore’s Law,” which is not a law but more an axiom or observation. Effectively, it suggests that the electronic devices double in speed and capability about every two years. And indeed, every year tech companies come up with new, faster, smarter and better gadgets.

Specifically, Moore’s Law, as articulated by Intel cofounder Gordon Moore, is that “The number of transistors incorporated in a chip will approximately double every 24 months.” Transistors, tiny electrical switches, are the fundamental unit that drives all the electronic gadgets we can think of. As they get smaller, they also get faster and consume less electricity to operate.

In the technology world, one of the biggest questions of the 21st century is: How small can we make transistors? If there is a limit to how tiny they can get, we might reach a point at which we can no longer continue to make smaller, more powerful, more efficient devices. It’s an industry with more than US$200 billion in annual revenue in the U.S. alone. Might it stop growing?

Continue reading “Light based microchips are the future of electronics” »

Lockheed Martin has been experimenting with quantum systems to speed verification and validation of mission-critical software.

This is a BIG DEAL in QC, and Russian Scientists solved it.

Abstract: Scientists from the Institute of Physics and Technology of the Russian Academy of Sciences and MIPT have let two electrons loose in a system of quantum dots to create a quantum computer memory cell of a higher dimension than a qubit (a quantum bit). In their study published in Scientific Reports, the researchers demonstrate for the first time how quantum walks of several electrons can help to implement quantum computation.

“By studying the system with two electrons, we solved the problems faced in the general case of two identical interacting particles. This paves the way toward compact high-level quantum structures,” comments Leonid Fedichkin, Expert at the Russian Academy of Sciences, Vice-Director for Science at NIX (a Russian computer company), and Associate Professor at MIPT’s Department of Theoretical Physics.

Continue reading “Two electrons go on a quantum walk and end up in a qudit: Russian scientists find a way to reliably connect quantum elements” »

Researchers at University of California, Santa Barbara, have designed a functional nanoscale computing element that could be packed into a space no bigger than 50 nanometres on any side.

In 1959, renowned physicist Richard Feynman, in his talk “Plenty of Room at the Bottom” spoke of a future in which tiny machines could perform huge feats. Like many forward-looking concepts, his molecule and atom-sized world remained for years in the realm of science fiction. And then, scientists and other creative thinkers began to realise Feynman’s nanotechnological visions.

Introduction

Moore’s Law says that the number of transistors per square inch will double approximately every 18 months. This article will show how many technologies are providing us with a new Virtual Moore’s Law that proves computer performance will at least double every 18 months for the foreseeable future thanks to many new technological developments.

This Virtual Moore’s Law is propelling us towards the Singularity where the invention of artificial superintelligence will abruptly trigger runaway technological growth, resulting in unfathomable changes to human civilization.

Going Vertical

In the first of my “proof” articles two years ago, I described how it has become harder to miniaturize transistors, causing computing to go vertical instead. 2 years ago, Samsung was mass producing 24-layer 3D NAND chips and had announced 32-layer chips. As I write this, Samsung is mass producing 48-layer 3D NAND chips with 64-layer chips rumored to appear within a month or so. Even more importantly, it is expected that by the end of 2017, the majority of NAND chips produced by all companies will be 3D. Currently Samsung and its competitors are working 24/7 to transform their 2D factories to 3D factories causing a dramatic change in how NAND flash chips are created.

Continue reading “Proof that Moore’s Law has been replaced by a Virtual Moore’s Law that is Accelerating and Bringing the Singularity With It” »

Excellent overview on BMI technology.

Less than a century ago, Hans Berger, a German psychiatrist, was placing silver foil electrodes on his patients’ heads and observing small ripples of continuous electrical voltage emerging from these. These were the first human brain waves to ever be recorded. Since Hans Berger’s first recordings, our knowledge on the brain structure and function has developed considerably. We now have a much clearer understanding of the neuronal sources that generate these electrical signals and the technology that is now available allows us to get a much denser and accurate picture of how these electrical signals change in time and across the human scalp.

The recording and analysis of brain signals has advanced to a level where people are now able to control and interact with devices around them with the use of their brain signals. The field of brain-computer interfaces has in fact garnered huge interest during the past two decades, and the development of low-cost hardware solutions together with the continuously evolving signal analysis techniques, have brought this technology closer to market than ever before.

Continue reading “Connecting through the brain” »

Microsoft has been working on quantum computing for years, but the company is coming out of stealth mode now and taking a more active role in quantum computer development. It wants to build a theoretical type of machine known as a topological quantum computer, despite the difficulty of doing so.

Scientists from MIT and Boston University have developed biological cells that can count and ‘remember’ cellular events by creating simple circuits through a series of genes that are activated in a precise order. These circuits, which the scientists say simulate computer chips, could be employed to tally the number of times a cell divides or to track a cycle of developmental stages. Such counting cells could also be used as biosensors to count the number of toxin exposures present in an environment.

Precise stimulation could be useful for visual prosthetics or brain-computer interfaces.