Skip to main content

Liquid metal amoeba robots are closer than ever before.

 


The new materials make new types of computers and robots possible. The next-generation material called MnBi2Te4 is the tool that revolutionizes quantum and optical memories. In quantum systems, the system can make quantum entanglement between the quantum dots on that material. But optical memories are an even more interesting tool. That can use MnBi2Te4. 

Optical memories use lasers or photons to transport data to the computer's memories. The idea is that the optical systems don't disturb nanotechnology. Nano-size processors are tools that require very low turbulence levels. So that they can operate as they should. The small size makes those nanotechnical systems very sensitive. Even a small error like overvoltage in the system causes a situation in which electricity jumps over the switch. And that causes fatal errors in the computer. 



"Researchers have developed a technique for printing thin metal oxide films at room temperature, and demonstrated the technique by printing metal oxides onto a polymer, creating highly flexible circuits. Credit: Minsik Kong" (ScitechDaily, Liquid Metal Revolutionizes Transparent Electronic Circuit Printing)

Nanotechnology can connect liquid metal artificial cells into one entirety. Those artificial cells require lots of nano-size mechanical parts. And systems that make nano-size mechanic computers operate can used to create the robot amoebas. The nano-size microprocessor-controlled liquid metal bacteria can use the same technology to move that is used in mechanic computers and nano-size switches and gates. 




"Researchers in Yang Lab at the UChicago Pritzker School of Molecular Engineering have made unexpected progress toward developing a new optical memory that can quickly and energy-efficiently store and access computational data. Credit: Peter Allen, Pritzker School of Molecular Engineering, University of Chicago" (ScitechDaily, MnBi2Te4 Unveiled: A Breakthrough in Quantum and Optical Memory Technology)

The nano-size mechanical computers are tools that can used in electromagnetic-resistant automatic systems. Electronic computers have supplanted mechanical computers. But mechanical computers are almost immune to the EM fields. And mechanical computers can control things like robots that operate in high-power electromagnetic radiation. The robots that use mechanic computers can used to clean radioactive waste, and maybe those robots can save people from nuclear reactor accidents or can be used to extinguish fire in cases, like Chernobyl. 

Those small wheels and axles can make bacteria-size liquid metal machines, that can make complicated structures. Those systems have lots of potential in space technology and other critical targets. The intelligent liquid metal can repair damages. The liquid metal amoeba can cover the microcircuits and cables. That kind of system can transmit all data from the system to a third party. The liquid metal robots can make sabotage missions like closing the fuel lines in military vehicles. 

This kind of system makes it possible to create even transformable robots. And maybe the liquid metal transformer robots from the Terminator movies will be a reality sooner than we think. 


https://scitechdaily.com/liquid-metal-revolutionizes-transparent-electronic-circuit-printing/

https://scitechdaily.com/mnbi2te4-unveiled-a-breakthrough-in-quantum-and-optical-memory-technology/

https://www.quantamagazine.org/what-is-analog-computing-20240802/


Comments

Popular posts from this blog

New AI-based operating systems revolutionize drone technology.

"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation) The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing.  Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That ca

Hydrogen is one of the most promising aircraft fuels.

Aircraft can use hydrogen in fuel cells. Fuel cells can give electricity to the electric engines that rotate propellers. Or they can give electricity to electric jet engines. In electric jet engines. Electric arcs heat air, and the expansion of air or some propellant pushes aircraft forward. Or, the aircraft can use hydrogen in its turbines or some more exotic engines like ramjets. Aircraft companies like Airbus and some other aircraft manufacturers test hydrogen as the turbine fuel.  Hydrogen is one of the most interesting fuels for next-generation aircraft that travel faster than ever. Hydrogen fuel is the key element in the new scramjet and ramjet-driven aircraft. Futuristic hypersonic systems can reach speeds over Mach 20.  Today the safe top speed of those aircraft that use air-breathe hypersonic aircraft is about Mach 5-6.   Hydrogen is easy to get, and the way to produce hydrogen determines how ecological that fuel can be. The electrolytic systems require electricity, and electr

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins.  The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain.  This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica