A biohybrid, leaf-spring design of DNA origami functions as a pulsating nanoengine that exploits the DNA-templated RNA transcription mechanism while consuming nucleoside triphosphates as fuel. The nanoengine also drives a nanomechanical follower structure.
But what would it actually mean to transfer your mind from “meat space” to cyberspace, and how could it be done? The basic idea rests on several assumptions, says Angela Thornton, a researcher at the Horizon Centre for Doctoral Training at University of Nottingham, who is also partnered with the Carboncopies Foundation, a non-profit that focuses on “whole brain emulation” and the creation of substrate-independent minds. “It assumes that we could replicate our brain [with] a certain level of understanding of how it works,” she says. “Not necessarily knowing all the detail, but enough to be able to emulate it.” Then, she adds, we have to make the assumption that the “mind” (i.e. the abstract part of us that thinks, remembers, imagines and senses) naturally emerges from the structures of the physical brain.
This is a lot to take on, which is partly why current brain emulation research is still stuck at the level of worms and, in more advanced studies, mice. Whether you agree with them or not, though, the arguments to take experiments further – toward larger mammals and, finally, humans – are quite obvious. For one, we could theoretically ‘live’ forever as a disembodied consciousness (or at least until the machines that hosted our virtual minds were destroyed), and continue interacting with our loved ones after they’ve passed as well. It’s possible that this could also go some way to solving the alleged population crisis, while limiting the impact of our physical bodies on the planet’s finite resources.
Continue reading “Digital immortality: would you upload your mind to a computer?” »
With a demand for food and beverage (F&B) packaging inspection systems, the industry faces challenges. See how LandingLens & artificial intelligence can help.
Japanese researchers have created and open-sourced a flying firefighting hose that levitates and steers itself to fight fires using its own water pressure as a two-part propulsion system, spraying water down onto fires and keeping operators safe.
The “flying dragon” system has two four-nozzle propulsion units built in – one at the end of the hose, one maybe 3 m (10 ft) back. Each of these can be thought of as something like a watery quadcopter – valves and swivels on each nozzle control flow and direction of thrust, allowing it to rise, balance and steer itself in the air the way a regular drone might … Well, two drones really, connected with a heavy rope and dragging a heavy tail.
Continue reading “‘Flying dragon’ robot harnesses the ‘crazy hose’ effect to fight fires” »
Cyborgs are often misunderstood as mere humans with metallic skin or head-up displays in their visions. However, the true essence ofs lies in embedding tools within oneself, thereby augmenting and influencing personal skills. Surprisingly enough, humans have been unknowingly embracinganization for millennia through basic inventions such as clothing, serving as individual shelters against harsh weather conditions. Let’s delve deeper into understanding the fascinating history and how we are closer to the machine than man.
Can machine learning predict chaos? This paper performs a large-scale comparison of modern forecasting methods on a giant dataset of 135 chaotic systems.
Chaos and unpredictability are traditionally synonymous, yet large-scale machine-learning methods recently have demonstrated a surprising ability to forecast chaotic systems well beyond typical predictability horizons. However, recent works disagree on whether specialized methods grounded in dynamical systems theory, such as reservoir computers or neural ordinary differential equations, outperform general-purpose large-scale learning methods such as transformers or recurrent neural networks. These prior studies perform comparisons on few individually chosen chaotic systems, thereby precluding robust quantification of how statistical modeling choices and dynamical invariants of different chaotic systems jointly determine empirical predictability.
McGill University researchers have made a breakthrough in diagnostic technology, inventing a ‘lab on a chip’ that can be 3D-printed in just 30 minutes. The chip has the potential to make on-the-spot testing widely accessible.
As part of a recent study, the results of which were published in the journal Advanced Materials, the McGill team developed capillaric chips that act as miniature laboratories.
Unlike other computer microprocessors, these chips are single-use and require no external power source — a simple paper strip suffices.
Future batteries could charge up by relying on a quantum effect known as indefinite causal order, whereby the laws of cause and effect are scrambled and power can move through the system quicker.
Scientists may have found a more efficient water to desalinate water using solar power, according to new research, offering a solution for global water scarcity through the use of renewable energy.
Researchers at Nankai University in Tianjin, China, developed the concept of a solar-powered desalination system that produces fresh water by using smart DNA hydrogels that does not consume additional energy, compared to conventional desalination strategies currently in use, such as reverse osmosis, which use copious amounts of energy, according to a paper published in the journal Science Advances on Thursday.
The same process can be used simultaneously to extract uranium from seawater or treat uranyl containing nuclear wastewater, the researchers said.
