Lifeboat Foundation

As the number of qubits in early quantum computers increases, their creators are opening up access via the cloud. IBM has its IBM Q network, for instance, while Microsoft has integrated quantum devices into its Azure cloud-computing platform. By combining these platforms with quantum-inspired optimisation algorithms and variable quantum algorithms, researchers could start to see some early benefits of quantum computing in the fields of chemistry and biology within the next few years. In time, Google’s Sergio Boixo hopes that quantum computers will be able to tackle some of the existential crises facing our planet. “Climate change is an energy problem – energy is a physical, chemical process,” he says.

“Maybe if we build the tools that allow the simulations to be done, we can construct a new industrial revolution that will hopefully be a more efficient use of energy.” But eventually, the area where quantum computers might have the biggest impact is in quantum physics itself.

The Large Hadron Collider, the world’s largest particle accelerator, collects about 300 gigabytes of data a second as it smashes protons together to try and unlock the fundamental secrets of the universe. To analyse it requires huge amounts of computing power – right now it’s split across 170 data centres in 42 countries. Some scientists at CERN – the European Organisation for Nuclear Research – hope quantum computers could help speed up the analysis of data by enabling them to run more accurate simulations before conducting real-world tests. They’re starting to develop algorithms and models that will help them harness the power of quantum computers when the devices get good enough to help.

We may have progressed beyond drinking mercury to try to prolong life. Instead, by a British government estimate, we have what may be called the ‘immortality industrial research complex’ – using genomics, artificial intelligence and other advanced sciences, and supported worldwide by governments, big business, academics and billionaires – that’s worth US$110 billion today and US$610 billion by 2025.

We are living longer than at any time in human history. And while the search is on for increased longevity if not immortality, new research suggests biological constraints will ultimately determine when you die.

We probably cannot slow the rate at which we get older because of biological constraints, an unprecedented study of lifespan statistics in human and non-human primates has confirmed.

The study set out to test the ‘invariant rate of aging’ hypothesis, which says that a species has a relatively fixed rate of aging from adulthood. An international collaboration of scientists from 14 countries, including José Manuel Aburto from Oxford’s Leverhulme Centre for Demographic Science, analyzed age-specific birth and death data spanning centuries and continents. Led by Fernando Colchero, University of Southern Denmark and Susan Alberts, Duke University, North Carolina, the study was a huge endeavor requiring monitoring wild populations of primates over several decades.

Jose Manuel Aburto says, Our findings support the theory that, rather than slowing down death, more people are living much longer due to a reduction in mortality at younger ages. We compared birth and death data from humans and non-human primates and found this general pattern of mortality was the same in all of them. This suggests that biological, rather than environmental factors, ultimately control longevity.

AI has finally come full circle.

A new suite of algorithms by Google Brain can now design computer chips —those specifically tailored for running AI software —that vastly outperform those designed by human experts. And the system works in just a few hours, dramatically slashing the weeks-or months-long process that normally gums up digital innovation.

At the heart of these robotic chip designers is a type of machine learning called deep reinforcement learning. This family of algorithms, loosely based on the human brain’s workings, has triumphed over its biological neural inspirations in games such as Chess, Go, and nearly the entire Atari catalog.

“These are novel living machines. They are not a traditional robot or a known species of animals. It is a new class of artifacts: a living and programmable organism,” says Joshua Bongard, an expert in computer science and robotics at the University of Vermont (UVM) and one of the leaders of the find.

As the scientist explains, these living bots do not look like traditional robots : they do not have shiny gears or robotic arms. Rather, they look more like a tiny blob of pink meat in motion, a biological machine that researchers say can accomplish things traditional robots cannot.

Xenobots are synthetic organisms designed automatically by a supercomputer to perform a specific task, using a process of trial and error (an evolutionary algorithm), and are built by a combination of different biological tissues.

Plastic bottle becomes industrially useful product thanks to biosynthetic transformation.

For tens of thousands of years, a microscopic creature lay frozen and immobile underground in the Siberian permafrost.

Yet, when scientists thawed it out, the tiny multicellular animal didn’t just revive — it reproduced, suggesting that there is a mechanism whereby multicellular animals can avoid cell damage during the freezing process and wake up ready to rumble.

“Our report is the hardest proof as of today that multicellular animals could withstand tens of thousands of years in cryptobiosis, the state of almost completely arrested metabolism,” said biologist Stas Malavin of the Soil Cryology Laboratory at the Institute of Physicochemical and Biological Problems in Soil Science in Russia.

Bdelloid rotifers are multicellular animals so small you need a microscope to see them. Despite their size, they’re known for being tough, capable of surviving through drying, freezing, starvation, and low oxygen. Now, researchers reporting in the journal Current Biology on June 7 have found that not only can they withstand being frozen, but they can also persist for at least 24000 years in the Siberian permafrost and survive.

“Our report is the hardest proof as of today that multicellular animals could withstand tens of thousands of years in cryptobiosis, the state of almost completely arrested metabolism,” says Stas Malavin of the Soil Cryology Laboratory at the Institute of Physicochemical and Biological Problems in Soil Science in Pushchino, Russia.

The Soil Cryology Lab specializes in isolating microscopic organisms from the ancient permafrost in Siberia. To collect samples, they use a drilling rig in some of the most remote Arctic locations.

The hard, magnetic teeth of a leathery red-brown mollusk nicknamed “the wandering meatloaf” possess a rare mineral previously seen only in rocks. The mineral may help the mollusk — the giant Pacific chiton (Cryptochiton stelleri) — meld its soft flesh to the hard teeth it uses for grazing on rocky coastlines, researchers report online May 31 in Proceedings of the National Academy of Sciences.

C. stelleri is the world’s largest chiton, reaching up to roughly 35 centimeters long. It is equipped with several dozen rows of teeth on a slender, flexible, tonguelike appendage called a radula that it uses to scrape algae off rocks. Those teeth are covered in magnetite, the hardest, stiffest known biomineral to date: It’s as much as three times as hard as human enamel and mollusk shells.

Materials scientist Derk Joester and colleagues analyzed these teeth using high-energy X-rays from the Advanced Photon Source at Argonne National Laboratory in Lemont, Ill. They discovered that the interface between the teeth and flesh contained nanoparticles of santabarbaraite, an iron-loaded mineral never seen before in a living organism’s body.