Lifeboat Foundation

Although we often think of knowledge as “knowing that” (for example, knowing that Paris is the capital of France), each of us also knows many procedures consisting of “knowing how,” such as knowing how to tie a knot or start a car. Now, a new study has found the brain programs that code the sequence of steps in performing a complex procedure.

In a just published paper in Psychological Science, researchers at Carnegie Mellon University have found a way to find decode the procedural information required to tie various knots with enough precision to identify which knot is being planned or performed. To reach this conclusion, Drs. Robert Mason and Marcel Just first trained a group of participants to tie seven types of knots, and then scanned their brains while they imagined tying, or actually tied the knots while they were in an MRI scanner. The main findings were that each knot had a distinctive neural signature, so the researchers could tell which knot was being tied from the sequence of brain images collected. Furthermore, the neural signatures were very similar for imagining tying a particular knot and planning to tie it.

Dr. Just said, “Tying a knot is an ancient and frequently performed human action that is the epitome of everyday procedural knowledge, making it an excellent target for investigation.”

The point of the expanded testing program is to try and blunt a potential second wave of COVID-19 before it develops.

Day 5 at the Artificial Intelligence Hub boot camp #TakeOver, Today’s python class was interesting as students learned to use strings and lists… This is part of our vision to domesticate Artificial intelligence in Africa.

Kelvin Dafiaghor added a new photo.

The Defense Advanced Research Projects Agency (DARPA), the Pentagon’s cutting-edge research and development branch, is funding one of the oddest robotic concepts yet: a robot that mimics an earthworm to dig underground tunnels. It’s all part of an effort to demonstrate robotic tunneling technologies that will provide a secure way of resupplying U.S. Army troops in battle zones.

Recently discovered ‘single-pixel vision’ in fish could help researchers understand how humans are able to spot tiny details in their environment—like stars in the sky.

In a paper published this week, researchers at the University of Sussex found that zebrafish are able to use a single photoreceptor to spot their tiny prey.

This photoreceptor is like an ‘eye pixel’ and seems to provide enough of a signal for the fish to go and investigate the stimulus.

A machine-learning algorithm has been developed by scientists in Japan to breathe new life into old molecules. Called BoundLess Objective-free eXploration, or Blox, it allows researchers to search chemical databases for molecules with the right properties to see them repurposed. The team demonstrated the power of their technique by finding molecules that could work in solar cells from a database designed for drug discovery.

Chemical repurposing involves taking a molecule or material and finding an entirely new use for it. Suitable molecules for chemical repurposing tend to stand apart from the larger group when considering one property against another. These materials are said to be out-of-trend and can display previously undiscovered yet exceptional characteristics.

‘In public databases there are a lot of molecules, but each molecule’s properties are mostly unknown. These molecules have been synthesised for a particular purpose, for example drug development, so unrelated properties were not measured,’ explains Koji Tsuda of the Riken Centre for Advanced Intelligence and who led the development of Blox. ‘There are a lot of hidden treasures in databases.’

Bacteria have a cunning ability to survive in unfriendly environments.

Amsterdam-based Squad Mobility’s solar powered electric two-seater quickly caught our fancy the last time we covered it. Now the Squad Solar City Car is back with updated design options for the solar-powered microcar.

A few minutes into the life of the universe, colliding emissions of light energy created the first particles of matter and antimatter. We are familiar with the reverse process—matter generating energy—in everything from a campfire to an atomic bomb, but it has been difficult to recreate that critical transformation of light into matter.

Now, a new set of simulations by a research team led by UC San Diego’s Alexey Arefiev point the way toward making matter from light. The process starts by aiming a high-power laser at a target to generate a magnetic field as strong as that of a neutron star. This field generates gamma ray emissions that collide to produce—for the very briefest instant—pairs of matter and antimatter particles.

The study, published May 11 in Physical Review Applied offers a sort of recipe that experimentalists at the Extreme Light Infrastructure (ELI) high-power laser facilities in Eastern Europe could follow to produce real results in one to two years, said Arefiev, an associate professor of mechanical and aerospace engineering.