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Orion in March announced it has set out on a four-year project to build a cutting-edge ecosystem for pharmaceutical research in Finland.

Consisting of companies, universities and research institutes, the ecosystem will utilise artificial intelligence and machine learning in order to reduce the time required for studying and developing pharmaceutical products.

“Utilising data with the help of artificial intelligence is a competitive advantage for developing new innovative medicines because it expedites development and significantly increases the probability of success,” toldOuti Vaarala, director of innovative medicines at Orion.

Chinese researchers have successfully fabricated mechanical metamaterials with ultra-high energy absorption capacity using ion track technology. The results were published in Nature Communications as an Editor’s Highlight.

The study was conducted by the researchers from the Materials Research Center of the Institute of Modern Physics (IMP) of the Chinese Academy of Sciences (CAS) and their collaborators from Chongqing University.

Mechanical metamaterials refer to a class of composite materials with artificially designed structures, which exhibit extraordinary mechanical properties that traditional materials do not have. Among them, energy absorption mechanical metamaterials can absorb mechanical energy more efficiently, which requires the material itself to equip both high strength and high strain capacity, which, however, hardly co-exist in general.

The “spooky action at a distance” that once unnerved Einstein may be on its way to being as pedestrian as the gyroscopes that currently measure acceleration in smartphones.

Quantum entanglement significantly improves the precision of sensors that can be used to navigate without GPS, according to a new study in Nature Photonics.

“By exploiting entanglement, we improve both measurement sensitivity and how quickly we can make the measurement,” said Zheshen Zhang, associate professor of electrical and computer engineering at the University of Michigan and co-corresponding author of the study. The experiments were done at the University of Arizona, where Zhang was working at the time.

A new publication released today in The EMBO Journal identified a key protein in the molecular mechanism triggering neurogenesis in the hippocampus. They found that tight regulation of Yap1 activity is essential as dysregulation can cause tissue disruption seen in the early stages of brain cancer.

Neurogenesis is the process by which new neurons are produced by neural stem cells (NSCs) in the brain. Neurogenesis is a crucial process in embryo development, but it also continues in some brain regions after birth and all throughout adulthood. In adulthood, neurogenesis is mainly responsible for brain plasticity.

In the adult hippocampus, a brain area responsible for memory and learning, most stem cells are held at quiescence. This reversible pause protects stem cells against damage and controls the rate of neurogenesis. When necessary, the stem cells can be taken off this pause to undergo activation. The mechanisms controlling quiescence and activation are still not fully understood.

There are high expectations that quantum computers may deliver revolutionary new possibilities for simulating chemical processes. This could have a major impact on everything from the development of new pharmaceuticals to new materials. Researchers at Chalmers University have now, for the first time in Sweden, used a quantum computer to undertake calculations within a real-life case in chemistry.

“Quantum computers could in theory be used to handle cases where electrons and atomic nuclei move in more complicated ways. If we can learn to utilize their full potential, we should be able to advance the boundaries of what is possible to calculate and understand,” says Martin Rahm, Associate Professor in Theoretical Chemistry at the Department of Chemistry and Chemical Engineering, who has led the study.

Within the field of quantum chemistry, the laws of quantum mechanics are used to understand which chemical reactions are possible, which structures and materials can be developed, and what characteristics they have. Such studies are normally undertaken with the help of super computers, built with conventional logical circuits. There is however a limit for which calculations conventional computers can handle. Because the laws of quantum mechanics describe the behavior of nature on a subatomic level, many researchers believe that a quantum computer should be better equipped to perform molecular calculations than a conventional computer.

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Scientists have begun using artificial intelligence to help them communicate with animals — and they’re starting small with bats and bees.

AI allows humans to use breakthrough techniques to decode and observe how animals communicate so we can try to speak back to them.

Scientific American spoke with Professor Karen Bakker who is the author of the new book The Sounds of Life: How Digital Technology Is Bringing Us Closer to the Worlds of Animals and Plant.

NOTE: This article was written by GPT-4 based on the code base. For more info, read this.

Abstract:

In this research, we propose a novel task-driven autonomous agent that leverages OpenAI’s GPT-4 language model, Pinecone vector search, and the LangChain framework to perform a wide range of tasks across diverse domains. Our system is capable of completing tasks, generating new tasks based on completed results, and prioritizing tasks in real-time. We discuss potential future improvements, including the integration of a security/safety agent, expanding functionality, generating interim milestones, and incorporating real-time priority updates. The significance of this research lies in demonstrating the potential of AI-powered language models to autonomously perform tasks within various constraints and contexts.

From HBO life is worth losing.