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In a new multidisciplinary study, researchers at Texas A&M University showed how quantum computing—a new kind of computing that can process additional types of data—can assist with genetic research and used it to discover new links between genes that scientists were previously unable to detect.

Their project used the new computing technology to map gene regulatory networks (GRNs), which provide information about how genes can cause each other to activate or deactivate.

As the team published in npj Quantum Information, quantum computing will help scientists more accurately predict relationships between genes, which could have huge implications for both animal and human medicine.

It is estimated that 95% of the planet’s population has access to broadband internet, via cable or a mobile network. However, there are still some places and situations in which staying connected can be very difficult. Quick responses are necessary in emergency situations, such as after an earthquake or during a conflict. So too are reliable telecommunications networks that are not susceptible to outages and damage to infrastructure, networks can be used to share data that is vital for people’s well-being.

A recent article, published in the journal Aerospace, proposes the use of nanosatellites to provide comprehensive and stable coverage in areas that are hard to reach using long-range communications. It is based on the bachelor’s and master’s degree final projects of Universitat Oberta de Catalunya (UOC) graduate David N. Barraca Ibort.

The paper is co-authored by Raúl Parada, a researcher at the Telecommunications Technological Center of Catalonia (CTTC/CERCA) and a course instructor with the UOC’s Faculty of Computer Science, Multimedia and Telecommunications; Carlos Monzo, a researcher and member of the same faculty; and Víctor Monzón, a researcher at the Interdisciplinary Center for Security Reliability and Trust at the University of Luxembourg.

Large language models (LLMs) are impressive technological creations but they cannot replace all scientific theories of cognition. A science of cognition must focus on humans as embodied, social animals who are embedded in material, cultural and technological contexts.

There is the technological question of whether computers can be intelligent, and also the scientific question of how it is that humans and other animals are intelligent. Answering either question requires an agreement about what the word ‘intelligence’ means. Here, I will both follow common usage and avoid making it a matter of definition that only adult humans could possibly be intelligent by assuming that to be intelligent is to have the ability to solve complex and cognitively demanding problems. If we understand intelligence this way, the question of whether computers can be intelligent has already been answered. With apologies to Dreyfus and Lanier, it has been clear for years that the answer is an emphatic ‘yes’. The recent advances made by ChatGPT and other large language models (LLMs) are the cherry on top of decades of technological innovation.

“It’s really simple to define this problem,” said Marcin Bieńkowski, an algorithms researcher at the University of Wrocław in Poland. But it “turns out to be bizarrely difficult.” Since researchers began attacking the k-server problem in the late 1980s, they have wondered exactly how well online algorithms can handle the task.

Over the decades, researchers began to believe there’s a certain level of algorithmic performance you can always achieve for the k-server problem. So no matter what version of the problem you’re dealing with, there’ll be an algorithm that reaches this goal. But in a paper first published online last November, three computer scientists showed that this isn’t always achievable. In some cases, every algorithm falls short.

In 1973, physicist Phil Anderson hypothesized that the quantum spin liquid, or QSL, state existed on some triangular lattices, but he lacked the tools to delve deeper. Fifty years later, a team led by researchers associated with the Quantum Science Center headquartered at the Department of Energy’s Oak Ridge National Laboratory has confirmed the presence of QSL behavior in a new material with this structure, KYbSe₂.

QSLs—an unusual state of matter controlled by interactions among entangled, or intrinsically linked, magnetic atoms called spins—excel at stabilizing quantum mechanical activity in KYbSe₂ and other delafossites. These materials are prized for their layered triangular lattices and promising properties that could contribute to the construction of high-quality superconductors and quantum computing components.

The paper, published in Nature Physics, features researchers from ORNL; Lawrence Berkeley National Laboratory; Los Alamos National Laboratory; SLAC National Accelerator Laboratory; the University of Tennessee, Knoxville; the University of Missouri; the University of Minnesota; Stanford University; and the Rosario Physics Institute.

As we learned in middle school science classes, inside this common variety of greens—and most other plants—are intricate circuits of biological machinery that perform the task of converting sunlight into usable energy. Or photosynthesis. These processes keep plants alive. Boston University researchers have a vision for how they could also be harnessed into programmable units that would enable scientists to construct the first practical quantum computer.

A quantum computer would be able to perform calculations much faster than the classical computers that we use today. The laptop sitting on your desk is built on units that can represent 0 or 1, but never both or a combination of those states at the same time. While a classical computer can run only one analysis at a time, a quantum computer could run a billion or more versions of the same equation at the same time, increasing the ability of computers to better model extremely complex systems—like weather patterns or how cancer will spread through tissue—and speeding up how quickly huge datasets can be analyzed.

The idea of using photosynthetic molecules from, say, a spinach leaf to power quantum computing services might sound like science fiction. It’s not. It is “on the fringe of possibilities,” says David Coker, a College of Arts & Sciences professor of chemistry and a College of Engineering professor of materials science and engineering. Coker and collaborators at BU and Princeton University are using computer simulations and experiments to provide proof-of-concepts that photosynthetic circuits could unlock new technological capabilities. Their work is showing promising early results.

The company’s journey to make its modem has been long and frustrating.

Justin Sullivan/Getty Images.

As per a Bloomberg report, the iPhone maker, which had planned to launch its chip by next year, will likely miss its target of shipping the component by the spring of 2025, people familiar with the matter said. The chip may debut at the end of 2025 or early 2026, the last year of Apple’s extended contract with Qualcomm.

Continue reading “Apple’s modem chip project fails to match Qualcomm’s modem technology” »

Scientists from the UK and South Korea have discovered a way to create laser pulses 1,000 times stronger than currently possible. Using computer simulations, they have discovered that a new way of compressing the light can drastically increase its intensity to such an extent that it can extract particles from a vacuum. This new technique could open up doors for important discoveries into the very nature of matter.

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Continue reading “Scientists find new way to supercharge lasers by a million times” »

Swooping magnetic fields that confine plasma in doughnut-shaped fusion facilities known as tokamaks could help improve the efficiency of complex machines that produce microchips. This innovation could lead to more powerful computers and smart phones, near-essential devices that make modern society possible.

Engineers use high-energy light emitted by plasma, the electrically charged fourth state of matter, to create small structures on the surfaces of silicon wafers during their transformation into microchips. These tiny components enable a range of devices, including consumer electronics, video games, medical machinery, and telecommunications. Improving the generation of this light could extend the life of vital parts within the machines and make the manufacture of microchips more efficient.

“These findings could change the microchip industry,” said Ben Israeli, lead author of the paper publishing the results in Applied Physics Letters. Israeli is a graduate student in the Princeton Program in Plasma Physics, based at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), which is managed by Princeton University.