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Over the past decades, physicists have been trying to develop increasingly sophisticated and precise clocks to reliably measure the duration of physical processes that unfold over very short periods of time, helping to validate various theoretical predictions. These include so-called quantum clocks, timekeeping systems that leverage the principles of quantum mechanics to measure time with extremely high precision.

A new study led by researchers at the Universities of Oxford, Cambridge and Manchester has achieved a major advance in quantum materials, developing a method to precisely engineer single quantum defects in diamond—an essential step toward scalable quantum technologies. The results have been published in the journal Nature Communications.

A team of neurologists and AI specialists at MIT’s Media Lab has led a study looking into the brain impacts of large language model (LLM) use among people who engage with them for study or work. They report evidence that the use of LLMs may lead to an erosion of critical thinking skills. In their study, posted on the arXiv preprint server, the researchers asked groups of volunteers to write essays while connected to EEG monitors.

Over the past few years, the use of LLMs such as ChatGPT has become commonplace. Some use them for fun, while others use them to help with school or work responsibilities, and the team at MIT wondered what sort of impact LLM use might have on the brain.

To find out, they recruited 54 volunteers. The initial group was then split into three , all of whom were asked to write a 20-minute on the topic of philanthropy—one group was asked to use ChatGPT for help, the second was asked to use Google Search, and the third “Brain-only” group was given no tools or resources at all. The participants remained in these same groups for three writing sessions.

Researchers from the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences (CAS), together with collaborators from the Instituto Tecnológico de Aeronáutica in Brazil and Iowa State University, have theoretically explored the influence mechanism of quark-gluon interactions on the parton distribution functions (PDFs) within hadrons, providing new insights into first-principles calculations of hadron structure.

Their findings are published as a letter in Physical Review D.

Hadrons are essential building blocks of the universe. These composite particles, which are composed of quarks and , include protons, neutrons, , and others. Investigating the behavior of quarks and gluons within hadrons is crucial for unraveling the mysteries of the microscopic structure of matter.

A small team of researchers at Tongji University, working with a colleague from the Shanghai Academy of Landscape Architecture Science and Planning, both in China, has found that growing plants on roofs can serve as an effective way to remove microplastics from the air. In their study, published in the journal Communications Earth & Environment, the group measured the amounts of microplastics found on plants and the soil in which they grow.

Prior research has shown that growing plants on roofs can reduce heating and cooling bills and also clear pollution from the surrounding air. The research team wondered if that also included microplastics.

To find out, they built a simulated roof environment in their lab, where, in a thin layer of fresh soil, they planted two kinds of plants commonly used on rooftops in the of Shanghai. They also introduced into the air above the plants at levels common to Shanghai. They then conducted simulated rains, measuring microplastic levels on the plants and in the soil.

Gabriel Dechichi, a developer you might know from his challenge of making an Unreal Engine game in 4 weeks, is building his own C engine, and he’s ready to prove it’s better than Unity, at least in web space.

Dechichi made a demo where you can add hundreds of running mannequins and see how your system reacts to the stress. The creator claims his engine is “10x faster, 10x lighter, 10x better” than other software, and 14 times quicker than Unity in particular.

It’s obvious from first glance even at 100 characters that Dechichi’s engine runs smoother, but I tested it on my MacBook Pro, and while the C engine works with 1,000 units at 250 ms and 1 FPS, Unity took forever to load so many characters at 1,300 ms and 1 FPS. So, I guess, Dechichi is right, and we’ll see a nice addition to the gamedev world soon.