Lifeboat Foundation

Summary: Researchers leveraged deep reinforcement learning (DRL) to enable a robot to adaptively switch gaits, mimicking animal movements like trotting and pronking, to traverse complex terrains effectively. Their study explores the concept of viability—or fall prevention—as a primary motivator for such gait transitions, challenging previous beliefs that energy efficiency is the key driver.

This novel approach not only enhances the robot’s ability to handle challenging terrains but also provides deeper insights into animal locomotion. The team’s findings suggest that prioritizing fall prevention may lead to more agile and efficient robotic and biological movement across uneven surfaces.

Now Princeton researchers have sparked new life into static. Using millions of hours of computational time to run detailed simulations, the researchers found a way to describe static charge atom-by-atom with the mathematics of heat and work. Their paper appeared in Nature Communications on March 23.

The study looked specifically at how charge moves between materials that do not allow the free flow of electrons, called insulating materials, such as vinyl and acrylic. The researchers said there is no established view on what mechanisms drive these jolts, despite the ubiquity of static: the crackle and pop of clothes pulled from a dryer, packing peanuts that cling to a box.

“We know it’s not electrons,” said Mike Webb, assistant professor of chemical and biological engineering, who led the study. “What is it?”

Here’s my new Opinion article for Newsweek on brainwave technology and AI. Check it out!

Historically, our greatest strength is our biological form, tested and evolved over millions of years. Instead of spending resources searching for ways to connect technology directly to our minds, we could find ways to use technology to protect our biological thoughts and proclivity. That might mean faraday cages around our brains that no super intelligent AIs signals could crack—as well as encryption where our code perpetually changes randomly.

Another way to protect against AI is for humans to become like bugs—a concept recently explored in the Netflix series 3 Body Problem. Companies are already working on trying to scan the brain—down to its atoms—in real time. Eventually, the hope is we’ll be able to upload our consciousnesses into computers. There’s open debate whether an upload is the real you. But for purposes of protecting ourselves against AI, another important question is how many uploads of you would there be? If AI was inundated with trillions upon trillions of uploaded human minds, it’s possible, like bugs, AI would never win a battle to get rid all of us, even if it wanted to. There would simply be too many of us in the cloud, even if there was just one of us in the flesh.

Continue reading “We’re Looking at Brainwave Technology All Wrong” »

For the first time, researchers have simulated neurological junctions called synapses using the same water and salt ingredients the brain uses, contributing to an emerging field that combines biology with electronics called iontronics.

The team from Utrecht University in the Netherlands and Sogang University in South Korea claim to have been inspired by the functioning of the human brain, which also uses charged particles called ions dissolved in water to transmit signals within neurons.

An important feature of the brain’s ability to process information is synaptic plasticity, which allows neurons to adjust the strength of connections between them in response to input history.

Peptides can form on cosmic dust despite water presence, challenging previous beliefs and suggesting a possible extraterrestrial origin for life’s building blocks.

Peptides are organic compounds that play a crucial role in many biological processes, for example, as enzymes. A research team led by Dr. Serge Krasnokutski from the Astrophysics Laboratory at the Max Planck Institute for Astronomy at the University of Jena had already demonstrated that simple peptides can form on cosmic dust particles. However, it was previously assumed that this would not be possible if molecular ice, which covers the dust particle, contains water – which is usually the case.

Now, the team, in collaboration with the University of Poitiers, France, has discovered that the presence of water molecules is not a major obstacle for the formation of peptides on such dust particles. The researchers report on their findings in the journal Science Advances.

When facing a predator, single cells sometimes unite to defend themselves, paving the way for more complex multicellular life forms to evolve.

Humanity will change. Or be replaced. Or go extinct. An exploration of the many potential posthuman offspring of humankind, from the biological to the artificial.
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What do you imagine when I say the future of human evolution?

Continue reading “The Future of Human Evolution?” »

Iontronic neuromorphic computing has only recently broken ground but is developing at a rapid pace. A computer better than the ones living organisms already have (brain) just doesn’t exist.

This idea does spin the mind into theoretical territory around the future of AI and even consciousness.

That aside, the study published around the artificial synapse marks a significant step forward for the future of computers.

As the driest nonpolar desert in the world, the Atacama Desert in northern Chile is home to very few species of plants and animals. With rainfall often occurring only once a decade, the desert is so dry that NASA uses it as a stand-in for the Martian landscape. But what’s living beneath the parched surface? New research suggests it’s very small, abundant, and old, very old.

While the Atacama Desert’s aridity means that higher forms of life are scarce, it’s well-known that diverse bacteria dominate its soils. However, the researchers aimed to go deeper to see what species of microbes lived more than a meter (3.3 ft) beneath the surface.