Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: information science – Page 294

A faster method for multiplying very big numbers

The multiplication of integers is a problem that has kept mathematicians busy since Antiquity. The “Babylonian” method we learn at school requires us to multiply each digit of the first number by each digit of the second one. But when both numbers have a billion digits each, that means a billion times a billion or 1018 operations.

At a rate of a billion operations per second, it would take a computer a little over 30 years to finish the job. In 1971, the mathematicians Schönhage and Strassen discovered a quicker way, cutting calculation time down to about 30 seconds on a modern laptop. In their article, they also predicted that another algorithm—yet to be found—could do an even faster job. Joris van der Hoeven, a CNRS researcher from the École Polytechnique Computer Science Laboratory LIX, and David Harvey from the University of New South Wales (Australia) have found that algorithm.

They present their work in a new article that is available to the through the online HAL archive. But one problem raised by Schönhage et Strassen remains to be solved: proving that no quicker method exists. This poses a new challenge for theoretical science.

Read more

Qualcomm Aims for Quantum AI Chips

Qualcomm said it plans to begin testing its new Cloud AI 100 chip with partners such as Microsoft Corp later this year, with mass production likely to begin in 2020.

Qualcomm’s new chip is designed for what artificial intelligence researchers call “inference” – the process of using an AI algorithm that has been “trained” with massive amounts of data in order to, for example, translate audio into text-based requests.

Analysts believe chips for speeding up inference will be the largest part of the AI chip market.

Read more

Environmentalists are Wrong: Nature Isn’t Sacred and We Should Replace It

Environmentalism and climate change are increasingly being pushed on us everywhere, and I wanted to write the transhumanism and life extension counter argument on why I prefer new technology over nature and sustainability. Here’s my new article:

On a warming planet bearing scars of significant environmental destruction, you’d think one of the 21st Century’s most notable emerging social groups—transhumanists—would be concerned. Many are not. Transhumanists first and foremost want to live indefinitely, and they are outraged at the fact their bodies age and are destined to die. They blame their biological nature, and dream of a day when DNA is replaced with silicon and data.

Their enmity of biology goes further than just their bodies. They see Mother Earth as a hostile space where every living creature—be it a tree, insect, mammal, or virus—is out for itself. Everything is part of the food chain, and subject to natural law: consumption by violent murder in the preponderance of cases. Life is vicious. It makes me think of pet dogs and cats, and how it’s reported they sometimes start eating their owner after they’ve died.

Many transhumanists want to change all this. They want to rid their worlds of biology. They favor concrete, steel, and code. Where once biological evolution was necessary to create primates and then modern humans, conscious and directed evolution has replaced it. Planet Earth doesn’t need iniquitous natural selection. It needs premeditated moral algorithms conceived by logic that do the most good for the largest number of people. This is something that an AI will probably be better at than humans in less than two decade’s time.

Ironically, fighting the makings of utopia is a coup a half century in the making. Starting with the good-intentioned people at Greenpeace in the 1970s but overtaken recently with enviro-socialists who often seem to want to control every aspect of our lives, environmentalism has taken over political and philosophical discourse and direction at the most powerful levels of society. Green believers want to make you think humans are destroying our only home, Planet Earth—and that this terrible action of ours is the most important issue of our time. They have sounded a call to “save the earth” by trying to stomp out capitalism and dramatically downsizing our carbon footprint.

Read more

New algorithm optimizes quantum computing problem-solving

Tohoku University researchers have developed an algorithm that enhances the ability of a Canadian-designed quantum computer to more efficiently find the best solution for complicated problems, according to a study published in the journal Scientific Reports.

Quantum computing takes advantage of the ability of subatomic particles to exist in more than one state at the same time. It is expected to take modern-day computing to the next level by enabling the processing of more information in less time.

The D-Wave annealer, developed by a Canadian company that claims it sells the world’s first commercially available quantum computers, employs the concepts of quantum physics to solve ‘combinatorial optimization .’ A typical example of this sort of problem asks the question: “Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each and returns to the original city?” Businesses and industries face a large range of similarly complex problems in which they want to find the optimal solution among many possible ones using the least amount of resources.

Read more

Scientists build a machine to generate quantum superposition of possible futures

In the 2018 movie Avengers: Infinity War, a scene featured Dr. Strange looking into 14 million possible futures to search for a single timeline in which the heroes would be victorious. Perhaps he would have had an easier time with help from a quantum computer. A team of researchers from Nanyang Technological University, Singapore (NTU Singapore) and Griffith University in Australia have constructed a prototype quantum device that can generate all possible futures in a simultaneous quantum superposition.

“When we think about the future, we are confronted by a vast array of possibilities,” explains Assistant Professor Mile Gu of NTU Singapore, who led development of the algorithm that underpins the prototype “These possibilities grow exponentially as we go deeper into the future. For instance, even if we have only two possibilities to choose from each minute, in less than half an hour there are 14 million possible futures. In less than a day, the number exceeds the number of atoms in the universe.” What he and his research group realised, however, was that a quantum computer can examine all possible futures by placing them in a – similar to Schrödinger’s famous cat, which is simultaneously alive and dead.

To realise this scheme, they joined forces with the experimental group led by Professor Geoff Pryde at Griffith University. Together, the team implemented a specially devised photonic quantum information processor in which the potential future outcomes of a decision process are represented by the locations of photons – quantum of light. They then demonstrated that the state of the quantum device was a superposition of multiple potential futures, weighted by their probability of occurrence.

Read more

/* */