Lifeboat Foundation

Visit the post for more.

Read more

Watch the video Leonardo da Vinci robot wows Tokyo crowd on Yahoo News. Disaster relief humanoids on display at the International Robot Exhibition 2015, but Leonardo da Vinci steals the show. Jim Drury reports.

Read more

The cars of the future will be here before you know it.

Read more

Read more

A new article on visiting Alabama’s largest megachurch on the Immortality Bus and discussing transhumanism. Make sure to check out the 2-min YouTube video embedded in the story:

The pastor considered whether robots could be saved.

Read more

The University of Cambridge is launching a new research centre, thanks to a £10 million grant from the Leverhulme Trust, to explore the opportunities and challenges to humanity from the development of artificial intelligence.

Read more

What will happen when machines become smarter than us?

It used to be a question purely for science fiction writers, but with experts predicting human-level AI could become a reality within this century, it’s become a pressing issue for scientists and philosophers, as they try to predict how our world will change.

Keen not to be left behind, Cambridge University has been at the forefront of the issue, and today announced the launch of a brand new centre, dedicated to answering the very real questions once seen solely as the preserve of Doctor Who or Stanley Kubrick’s HAL.

Read more

Sir Winston Churchill often spoke of World War 2 as the “Wizard War”. Both the Allies and Axis powers were in a race to gain the electronic advantage over each other on the battlefield. Many technologies were born during this time – one of them being the ability to decipher coded messages. The devices that were able to achieve this feat were the precursors to the modern computer. In 1946, the US Military developed the ENIAC, or Electronic Numerical Integrator And Computer. Using over 17,000 vacuum tubes, the ENIAC was a few orders of magnitude faster than all previous electro-mechanical computers. The part that excited many scientists, however, was that it was programmable. It was the notion of a programmable computer that would give rise to the idea of artificial intelligence (AI).

As time marched forward, computers became smaller and faster. The invention of the transistor semiconductor gave rise to the microprocessor, which accelerated the development of computer programming. AI began to pick up steam, and pundits began to make grand claims of how computer intelligence would soon surpass our own. Programs like ELIZA and Blocks World fascinated the public and certainly gave the perception that when computers became faster, as they surely would in the future, they would be able to think like humans do.

But it soon became clear that this would not be the case. While these and many other AI programs were good at what they did, neither they, or their algorithms were adaptable. They were ‘smart’ at their particular task, and could even be considered intelligent judging from their behavior, but they had no understanding of the task, and didn’t hold a candle to the intellectual capabilities of even a typical lab rat, let alone a human.

Read more

While the global academic discussion focuses on the coverage of existential risks associated with the rise of a Skynet equivalent artificial intelligence; it is worth mentioning that there are divergent advances in biotech whichare as alarming and urgent as the rise of an all omnipotent and omnipresent AI. Those issues should be directed and scanned under a microscope because they are at our doorstep. We should note that the application of “wind tunnelling” towards new technologies is necessary to prepare for the future, and subsequently, we should mitigate the risks and anticipate the greatest threats associated with technology XYZ as well as the biggest opportunities.

If we recall the year 2011, virologist Ron Fouchier presented his enhanced version of the H5N1 which could create a pandemic of massive impact wiping out half the world population if not more. Fouchier was experimenting with the avian flu virus searching for virulence enhancing evolution paths. What he did is spread the virus throughout a population of ferrets, and it reproduced with an increase in its ability to adapt at each transformation; in ten generations, the airborne version gained so much in virility that it had the potential power to kill half of the human population.

A year after that, in 2012, CRISPR/Cas9 genome engineering/editing tool was first shown to work in human cell culture. It allows scientists to edit genomes which binds and splices DNA at specific locations. The complex can be programmed to target a problematic gene, which is then replaced or repaired by another molecule introduced at the same time. A highly precise method. In the past years there has been much researchwere many researches conducted, e.g. the first monkeys with targeted mutations were born, and even editing methods for preventing HIV-1 infection in humans. What this means is the introduction of a complex randomness factor. If in the past a handful of people had access to genomic iterations and experimentation; now this fact is about to be change, releasing the proverbial genie from the bottle, with little ability to control it.

Read more