But observers warn that there are several factors that could stymie the nation’s plans, including a lack of contribution to the theories used to develop the tools underpinning the field, and a reticence by Chinese companies to invest in the research needed to make fundamental breakthroughs.
The country’s artificial-intelligence research is growing in quality, but the field still plays catch up to the United States in terms of high-impact papers, people and ethics.
Mexico-based startup Biomitech has developed an artificial tree that it claims is capable of sucking up the equivalent amount of air pollution as 368 living trees. In doing so, it could be a game-changer for polluted cities lacking enough free space to plant a forest of real trees.
The Universe is expanding, and that expansion is speeding up over time. These two facts have been well established through observation, but we don’t know what’s causing that expansion. It seems to be some mysterious, unknown energy that acts like the opposite of gravity.
We call this hypothetical energy “dark energy”, and it’s been calculated to constitute around 72 percent of all the stuff that makes up the Universe. We don’t know what it actually is. But a new experiment has just allowed us to rule out one more thing that it isn’t: a new force.
“This experiment, connecting atomic physics and cosmology, has allowed us to rule out a wide class of models that have been proposed to explain the nature of dark energy, and will enable us to constrain many more dark energy models,’‘said physicist Ed Copeland of the University of Nottingham.
NASA just successfully demonstrated the first of three tools designed to refuel spacecraft in space, right outside of the International Space Station.
The space agency’s Robotic Refuelling Mission 3 was able to unstow a special adapter that can hold super-cold methane, oxygen or hydrogen, and insert it into a special coupler on a different fuel tank.
Future iterations of the system could one day allow us to gas up spacecraft with resources from distant worlds, such as liquid methane as fuel. And that’s a big deal, since future space explorations to far away destinations such as the Moon and Mars will rely on our ability to refuel after leaving Earth’s gravity.
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Physicists have found “electron pairing,” a hallmark feature of superconductivity, at temperatures and energies well above the critical threshold where superconductivity happens.
Rice University’s Doug Natelson, co-corresponding author of a paper about the work in this week’s Nature, said the discovery of Cooper pairs of electrons “a bit above the critical temperature won’t be ‘crazy surprising’ to some people. The thing that’s more weird is that it looks like there are two different energy scales. There’s a higher energy scale where the pairs form, and there’s a lower energy scale where they all decide to join hands and act collectively and coherently, the behavior that actually brings about superconductivity.”
Electrical resistance is so common in the modern world that most of us take it for granted that computers, smartphones and electrical appliances warm up during use. That heating happens because electricity doesn’t flow freely through the metal wires and silicon chips inside the devices. Instead, flowing electrons occasionally bump into atoms or one another, and each collision produces a tiny bit of heat.
A research team led by the University of California San Diego has discovered the root cause of why lithium metal batteries fail—bits of lithium metal deposits break off from the surface of the anode during discharging and are trapped as “dead” or inactive lithium that the battery can no longer access.
The discovery, published Aug. 21 in Nature, challenges the conventional belief that lithium metal batteries fail because of the growth of a layer, called the solid electrolyte interphase (SEI), between the lithium anode and the electrolyte. The researchers made their discovery by developing a technique to measure the amounts of inactive lithium species on the anode—a first in the field of battery research—and studying their micro- and nanostructures.
The findings could pave the way for bringing rechargeable lithium metal batteries from the lab to the market.
The ability to securely transmit information over the internet is extremely important, but most of the time, eavesdroppers can still generally determine who the sender and receiver are. In some highly confidential situations, it is important that the sender’s and receiver’s identities remain anonymous.
Over the past couple of decades, researchers have been developing protocols for anonymously transmitting messages over classical networks, but similar protocols for quantum networks are still in much earlier stages of development. The anonymity methods that have been proposed for quantum networks so far face challenges such as implementation difficulties or require that strong assumptions be made about the resources, making them impractical for use in the real world.
In a new paper, Anupama Unnikrishnan, Ian MacFarlane, Richard Yi, Eleni Diamanti, Damian Markham, and Iordanis Kerenidis, from the University of Oxford, MIT, Sorbonne University, the University of Paris and CNRS, have proposed the first practical protocol for anonymous communication in quantum networks.
Self-assembled materials are attractive for next-generation materials, but their potential to assemble at the nanoscale and form nanostructures (cylinders, lamellae etc.) remains challenging. In a recent report, Xundu Feng and colleagues at the interdisciplinary departments of chemical and environmental engineering, biomolecular engineering, chemistry and the center for advanced low-dimension materials in the U.S., France, Japan and China, proposed and demonstrated a new approach to prevent the existing challenges. In the study, they explored size-selective transport in the water-continuous medium of a nanostructured polymer template formed using a self-assembled lyotropic H1 (hexagonal cylindrical shaped) mesophase (a state of matter between liquid and solid). They optimized the mesophase composition to facilitate high-fidelity retention of the H1 structure on photoinduced crosslinking.
The resulting nanostructured polymer material was mechanically robust with internally and externally crosslinked nanofibrils surrounded by a continuous aqueous medium. The research team fabricated a membrane with size selectivity at the 1 to 2 nm length scale and water permeabilities of ~10 liters m−2 hour−1 bar−1 μm. The membranes displayed excellent anti-microbial properties for practical use. The results are now published on Science Advances and represent a breakthrough for the potential use of self-assembled membrane-based nanofiltration in practical applications of water purification.
Membrane separation for filtration is widely used in diverse technical applications, including seawater desalination, gas separation, food processing, fuel cells and the emerging fields of sustainable power generation and distillation. During nanofiltration, dissolved or suspended solutes ranging from 1 to 10 nm in size can be removed. New nanofiltration membranes are of particular interest for low-cost treatment of wastewaters to remove organic contaminants including pesticides and metabolites of pharmaceutical drugs. State-of-the-art membranes presently suffer from a trade-off between permeability and selectivity where increased permeability can result in decreased selectivity and vice-versa. Since the trade-off originated from the intrinsic structural limits of conventional membranes, materials scientists have incorporated self-assembled materials as an attractive solution to realize highly selective separation without compromising permeability.
(BICA for AI, Post Conference Journal Paper, see Springer)
Abstract:
This paper is focused on preliminary cognitive and consciousness test results from using an Independent Core Observer Model Cognitive Architecture (ICOM) in a Mediated Artificial Super Intelligence (mASI) System. These results, including objective and subjective analyses, are designed to determine if further research is warranted along these lines. The comparative analysis includes comparisons to humans and human groups as measured for direct comparison. The overall study includes a mediation client application optimization in helping perform tests, AI context-based input (building context tree or graph data models), intelligence comparative testing (such as an IQ test), and other tests (i.e. Turing, Qualia, and Porter method tests) designed to look for early signs of consciousness or the lack thereof in the mASI system. Together, they are designed to determine whether this modified version of ICOM is a) in fact, a form of AGI and/or ASI, b) conscious, and c) at least sufficiently interesting that further research is called for. This study is not conclusive but offers evidence to justify further research along these lines.
