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The researchers explain that the development involves a new and very strong biological material, similar to collagen, which is non-toxic and causes no harm to the body’s tissues. The researchers believe that this new nanotechnology has many potential applications in medicine, including harvesting clean energy to operate devices implanted in the body (such as pacemakers) through the body’s natural movements, eliminating the need for batteries.

The study was led by Prof. Ehud Gazit of the Shmunis School of Biomedicine and Cancer Research at the Wise Faculty of Life Sciences, the Department of Materials Science and Engineering at the Fleischman Faculty of Engineering and the Center for Nanoscience and Nanotechnology, along with his lab team, Dr. Santu Bera and Dr. Wei Ji.

Also taking part in the study were researchers from the Weizmann Institute and a number of research institutes in Ireland, China and Australia. As a result of their findings, the researchers received two ERC-POC grants aimed at using the scientific research from the ERC grant that Gazit had previously won for applied technology. The research was published in the prestigious journal Nature Communications.

Continue reading “New nanotech will enable a ‘healthy’ electric current production inside the human body” »

Nano-Magnetics For Wireless Brain-Computer Interfaces & Precision Medicine — Dr. Sakhrat Khizroev, Ph.D., University of Miami.

Dr. Sakhrat Khizroev is a Professor of Electrical and Computer Engineering at the College of Engineering of the University of Miami, with a secondary appointment at the Department of Biochemistry and Molecular Biology at the Miller School of Medicine.

Continue reading “Dr Sakhrat Khizroev PhD — Nano-Magnetics For Wireless Brain-Computer Interfaces & Precision Medicine” »

Researchers have demonstrated how to keep a network of nanowires in a state that’s right on what’s known as the edge of chaos – an achievement that could be used to produce artificial intelligence (AI) that acts much like the human brain does.

The team used varying levels of electricity on a nanowire simulation, finding a balance when the electric signal was too low when the signal was too high. If the signal was too low, the network’s outputs weren’t complex enough to be useful; if the signal was too high, the outputs were a mess and also useless.

“We found that if you push the signal too slowly the network just does the same thing over and over without learning and developing. If we pushed it too hard and fast, the network becomes erratic and unpredictable,” says physicist Joel Hochstetter from the University of Sydney and the study’s lead author.

“What’s so exciting about this result is that it suggests that these types of nanowire networks can be tuned into regimes with diverse, brain-like collective dynamics, which can be leveraged to optimize information processing,” said Zdenka Kuncic from the University of Sydney in a press release.

Today’s deep neural networks already mimic one aspect of the brain: its highly interconnected network of neurons. But artificial neurons behave very differently than biological ones, as they only carry out computations. In the brain, neurons are also able to remember their previous activity, which then influences their future behavior.

This in-built memory is a crucial aspect of how the brain processes information, and a major strand in neuromorphic engineering focuses on trying to recreate this functionality. This has resulted in a wide range of designs for so-called “memristors”: electrical components whose response depends on the previous signals they have been exposed to.

The new carbon-based material could be a basis for lighter, tougher alternatives to Kevlar and steel.

A new study by engineers at MIT, Caltech, and ETH Zürich shows that “nanoarchitected” materials — materials designed from precisely patterned nanoscale structures — may be a promising route to lightweight armor, protective coatings, blast shields, and other impact-resistant materials.

The researchers have fabricated an ultralight material made from nanometer-scale carbon struts that give the material toughness and mechanical robustness. The team tested the material’s resilience by shooting it with microparticles at supersonic speeds, and found that the material, which is thinner than the width of a human hair, prevented the miniature projectiles from tearing through it.

For the first time, an artificial molecular motor has been created that can ‘talk’ to living cells – by gently pulling their surface with enough physical force to elicit a biochemical response. The approach could help scientists decode the language that cells use to communicate with each other in tissues.

‘There is a mechanical language in the form of physical forces applied by the cells themselves, and we want to understand what information is communicated and what the consequences are,’ explains Aránzazu del Campo, who led the study at the Leibniz Institute for New Materials, Germany. ‘Ultimately, we want to be able to provide signals to cells and guide their function when they are not able to do that by themselves in disease cases.’

Usually, studying how cells communicate by sensing mechanical stimuli and producing biochemical responses requires prodding them with pipettes or the tip of an atomic force microscope. However, this doesn’t work at the more complex tissue level.

Neuromorphic nanowire networks are found to exhibit neural-like dynamics, including phase transitions and avalanche criticality. Hochstetter and Kuncic et al. show that the dynamical state at the edge-of-chaos is optimal for learning and favours computationally complex information processing tasks.

Scientists at the University of Sydney and Japan’s National Institute for Material Science (NIMS) have discovered that an artificial network of nanowires can be tuned to respond in a brain-like way when electrically stimulated.

The international team, led by Joel Hochstetter with Professor Zdenka Kuncic and Professor Tomonobu Nakayama, found that by keeping the network of nanowires in a brain-like state “at the edge of chaos”, it performed tasks at an optimal level.

This, they say, suggests the underlying nature of neural intelligence is physical, and their discovery opens an exciting avenue for the development of artificial intelligence.

A new electrode that could free up 20% more light from organic light-emitting diodes has been developed at the University of Michigan. It could help extend the battery life of smartphones and laptops, or make next-gen televisions and displays much more energy efficient.

The approach prevents light from being trapped in the light-emitting part of an OLED, enabling OLEDs to maintain brightness while using less power. In addition, the electrode is easy to fit into existing processes for making OLED displays and light fixtures.

“With our approach, you can do it all in the same vacuum chamber,” said L. Jay Guo, U-M professor of electrical and computer engineering and corresponding author of the study.