Lifeboat Foundation

Meet the classified artificial brain being developed by US intelligence programs.

O.o!

A team of scientists recently determined certain quantum particles can regenerate after they’ve decayed. This has grand implications for the future of humanity, quantum computing, and intergalactic graffiti.

Theoretical physicists from the Technical University of Munich and the Max Planck Institute conducted simulation experiments to determine that certain quasiparticles are essentially immortal. Per the second law of thermodynamics nothing lasts forever, but these quantum particle fields can reassemble themselves after decaying – just like the phoenix from Greek mythology.

Continue reading “Scientists discover infinite decay and rebirth in quantum particles” »

Last month was arguably the busiest of all for everybody on the LEAF team, given that our second NYC conference was taking place—and, by the way, it was a great success! Today, we’re offering a detailed account of the conference as well as all that has been going on with us in July, including, of course, a recap of the latest news from the aging research and rejuvenation community.

LEAF News

An international group of astronomers discovered the planet using NASA’s Transiting Exoplanet Survey Satellite (TESS) earlier this year in the constellation Hydra, about 31 light-years from Earth, according to a statement by NASA. (One light-year is the distance light travels in a year, about 6 trillion miles, or 10 trillion kilometers.)

The bacteria are not a major threat, but they could transfer their resistance to more dangerous pathogens.

• By Karen Weintraub on August 1, 2019

Facebook has announced a breakthrough in its plan to create a device that allows people to type just by thinking.

It has funded a study that developed machine-learning algorithms capable of turning brain activity into speech

It worked on epilepsy patients who had already had recording electrodes placed on their brains to asses the origins of their seizures, ahead of surgery.

It might not look like much, but this wobbly self-driving bicycle is a symbol of growing Chinese expertise in advanced chip design.

Look, no hands: The bike not only balances itself but steers itself around obstacles and even responds to simple voice commands. But it’s the brains behind the bike that matter. It uses a new kind of computer chip, called Tianjic, that was developed by Luping Shi and colleagues at Tsinghua University, a top academic institution in Beijing.

Two in one: The Tianjic chip features a hybrid design that seeks to bring together two different architectural approaches to computing: a conventional, von Neumann design and a neurologically inspired one. The two architectures are used in cooperation to run artificial neural networks for obstacle detection, motor and balance control, and voice recognition, as well as conventional software.