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Human influences have the potential to reduce the effectivity of communication in bees, adding further stress to struggling colonies, according to new analysis.

Scientists at the University of Bristol studying honeybees, bumblebees and stingless bees found that variations in communication strategies are explained by differences in the habitats that bees inhabit and differences in the social lifestyle such colony size and nesting habits.

The findings, published today in PNAS, reveal that anthropogenic changes, such as habitat conversion, climate change and the use of agrochemicals, are altering the world bees occupy, and it is becoming increasingly clearer that this affects communication both directly and indirectly; for example, by affecting food source availability, social interactions among nestmates and their cognitive functions.

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Interested in thinking about how AI and accelerating technological change is changing our way of life? I talk about stuff like that every day:

http://goatfury.substack.com.

Join me to stand against the ever-shorter attention spans that modern social media encourages. Let’s think together.

A 30,000 foot view of how the world is changing today, especially with regard to rapid technological progress. Where’s this bringing us? Click to read GoatFury’s FutureScape, by Andrew Smith, a Substack publication. Launched 2 months ago.

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Researchers have detected complex organic molecules in a galaxy more than 12 billion light-years away from Earth—the most distant galaxy in which these molecules are now known to exist. Thanks to the capabilities of the recently launched James Webb Space Telescope and careful analyses from the research team, a new study lends critical insight into the complex chemical interactions that occur in the first galaxies in the early universe.

University of Illinois Urbana-Champaign astronomy and physics professor Joaquin Vieira and graduate student Kedar Phadke collaborated with researchers at Texas A&M University and an international team of scientists to differentiate between infrared signals generated by some of the more massive and larger dust grains in the galaxy and those of the newly observed hydrocarbon molecules.

The study findings are published in the journal Nature.

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Cactus Materials touted the emerging talent pool at local universities and the emerging ecosystem of the semiconductor industry as reasons to do business in Arizona.

The White House has designated Phoenix as a workforce hub to help meet the demand for qualified and diverse talent in semiconductors, renewable energy and electric vehicles.

Over the next five years, Cactus Materials said it intends to make further upgrades at its facility and invest up to $300 million. The company had previously been awarded grants from NASA and the U.S. Department of Energy and has applied for funding earmarked for the semiconductor sector through the CHIPS and Science Act.

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Artificial intelligence (AI) systems have long drawn inspiration from the intricacies of the human brain. Now, a groundbreaking branch of research led by Columbia University in New York seeks to unravel the workings of living brains and enhance their function by leveraging advancements in AI.

Designated by the National Science Foundation as one of seven universities serving as the headquarters for a new national AI research institute, Columbia University received a substantial $20 million grant to bolster the AI Institute for Artificial and Natural Intelligence (ARNI). ARNI is a consortium comprising educational institutions and research groups, with Columbia at the helm. The overarching goal of ARNI is to forge connections between the remarkable progress achieved in AI systems and the ongoing revolution in our understanding of the brain.

Richard Zemel, a professor of computer science at Columbia, explained that the aim is to foster a cross-disciplinary collaboration between leading AI and neuroscience researchers, yielding mutual benefits for AI systems and human beings alike. Zemel emphasized that the exchange of knowledge flows in both directions, with AI systems drawing inspiration from the brain while neural networks in turn bear loose resemblances to its structure.

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