The regulation of genetic diversity resulting from polyploidization and its impact on environmental adaptability remain unclear. Here, the authors show that
Researchers around the world are working on a network which could connect quantum computers with one another over long distances. Andreas Reiserer, Professor of Quantum Networks at the Technical University of Munich (TUM), explains the challenges which have to be mastered and how atoms captured in crystals can help.
The idea is the same: We use today’s internet to connect computers with one another, while the quantum internet lets quantum computers communicate with one another. But in technical terms the quantum internet is much more complex. That’s why only smaller networks have been realized as yet.
There are two main applications: First of all, networking quantum computers makes it possible to increase their computing power; second, a quantum network will make absolutely interception-proof encryption of communication possible. But there are other applications as well, for example networking telescopes to achieve a previously impossible resolution in order to look into the depths of the universe, or the possibility of synchronizing atomic clocks around the world extremely precisely, making it possible to investigate completely new physical questions.
Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called active matter.
The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand the shape, flow, and form of living materials. The active matter theory consists of many challenging mathematical equations.
Scientists from the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, the Center for Systems Biology Dresden (CSBD), and the TU Dresden have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios.
Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum, or classical, computers.
Quantum refers to the scale of atoms and molecules where the laws of physics as we experience them break down and a different, counterintuitive set of laws apply. Quantum computers take advantage of these strange behaviors to solve problems.
There are some types of problems that are impractical for classical computers to solve, such as cracking state-of-the-art encryption algorithms. Research in recent decades has shown that quantum computers have the potential to solve some of these problems. If a quantum computer can be built that actually does solve one of these problems, it will have demonstrated quantum advantage.
To get several of the modified chromosomes into the same yeast cell, Boeke’s team ran a lengthy cross-breeding program, mating cells with different combinations of genomes. At each step there was an extensive “debugging” process, as synthetic chromosomes interacted in unpredictable ways.
Using this approach, the team incorporated six full chromosomes and part of another one into a cell that survived and grew. They then developed a method called chromosome substitution to transfer the largest yeast chromosome from a donor cell, bumping the total to seven and a half and increasing the total amount of synthetic DNA to over 50 percent.
Getting all 17 synthetic chromosomes into a single cell will require considerable extra work, but crossing the halfway point is a significant achievement. And if the team can create yeast with a fully synthetic genome, it will mark a step change in our ability to manipulate the code of life.
Humankind on the verge of evolutionary traps, a new study: …For the first time, scientists have used the concept of evolutionary traps on human societies at large.
For the first time, scientists have used the concept of evolutionary traps on human societies at large. They find that humankind risks getting stuck in 14 evolutionary dead ends, ranging from global climate tipping points to misaligned artificial intelligence, chemical pollution, and accelerating infectious diseases.
The evolution of humankind has been an extraordinary success story. But the Anthropocene—the proposed geological epoch shaped by us humans—is showing more and more cracks. Multiple global crises, such as the COVID-19 pandemic, climate change, food insecurity, financial crises, and conflicts have started to occur simultaneously in something which scientists refer to as a polycrisis.
Humans are incredibly creative as a species. We are able to innovate and adapt to many circumstances and can cooperate on surprisingly large scales. But these capabilities turn out to have unintentional consequences. Simply speaking, you could say that the human species has been too successful and, in some ways, too smart for its own future good, says Peter Søgaard Jørgensen, researcher at the Stockholm Resilience Center at Stockholm University and at the Royal Swedish Academy of Sciences’ Global Economic Dynamics and the Biosphere program and Anthropocene laboratory.
One AI startup’s undoing is another’s opportunity.
Case in point: Today, AI21 Labs, a company developing generative AI products along the lines of OpenAI’s GPT-4 and ChatGPT, closed a $53 million extension to its previously announced Series C funding round. The new tranche, which had participation from new investors Intel Capital and Comcast Ventures, brings AI21’s total raised to $336 million.
The startup’s valuation remains unchanged at $1.4 billion.
Dr. Hyekyoung Choi and Min Ju Yun’s research team from the Energy Conversion Materials Research Center, Korea Electrotechnology Research Institute (KERI), has developed a technology that can increase the flexibility and efficiency of a thermoelectric generator to the world’s highest level by using “mechanical metamaterials” that do not exist in nature. The research results were published in Advanced Energy Materials.
In general, a material shrinks in the vertical direction when it is stretched in the horizontal direction. It is like when you press a rubber ball, it flattens out sideways, and when you pull a rubber band, it stretches tightly.
The amount of transversal elongation divided by the amount of axial compression is Poisson’s ratio. Conversely, mechanical metamaterials, unlike materials in nature, are artificially designed to expand in both the horizontal and vertical directions when it is stretched in the horizontal direction. Metamaterials have a negative Poisson’s ratio.
The Tesla Cybertruck was spotted on the beach, driving through ocean water in the Gulf of Mexico just a week from deliveries.
Tesla claimed a while ago that the Cybertruck would be able to float. Although the truck did not completely enter the water in this instance, we have no idea if the automaker has prepared the pickup to travel through bodies of water.
Beach driving is popular, and all-wheel-drive or four-wheel-drive vehicles are suitable for this kind of travel. Drivers also need to air down their tires in order to prevent their car or truck from digging into the sand, but a vehicle cannot be too heavy, either, as it will sink into the beach. The highest gross vehicle weight on most drive-on beaches is 10,000 pounds.
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Microsoft’s vision for zero trust security is galvanized around generative AI and reflects how identity and network access must constantly improve to counter complex cyberattacks.
Their many security announcements at Ignite 2023 reflect how they’re architecting the future of zero trust with greater adaptability and contextual intelligence designed in. The Microsoft Ignite 2023 Book of News overviews the new products announced this week at the event.