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Running could be for everyone even at Olympic levels with biocomputing and crispr.

Citation: (2004) Gene Targeting Turns Mice into Long-Distance Runners. PLoS Biol 2(10): e322. https://doi.org/10.1371/journal.pbio.

Copyright: © 2004 Public Library of Science. This is an open-access distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Driving the technology forward are advances in materials science and AI, plus patient benefits like shorter recovery times and less pain.

In the ever-evolving landscape of artificial intelligence and natural language processing, one phenomenon has taken center stage like never before is the large language model. These creations, infused with billions of parameters and fuelled by vast data repositories, are transforming the way we interact with machines. As this field has begun to take over the Software engineering industry, understanding the technology and diving deep into its nuances becomes paramount.

In this blog, we will do a deep dive into the pieces and components inside a Large Language Model.

Believe it or not, air contains as much water as six times the world’s rivers combined.

This is mostly in the form of water vapor, and it actually replenishes naturally every 8 to 10 days — give or take. This offers a valuable potential reservoir of freshwater that could be tapped relatively easily.

All we need is the right kind of technology.

Surf Air Mobility Inc., a Southern California aerospace company devoted to developing regional air travel through the power of electrification, has placed an order for 20 Cessna Grand Caravan EX aircraft.

The Cessna Grand Caravan EX is designed and manufactured by Textron Aviation, a Textron Inc. (NYSE: TXT) company.

According to Textron, Surf Air Mobility has paid the deposit for the first of 100 aircraft with the option for an additional 50. The deliveries of the aircraft are expected to begin in the first half of 2024.

Summary: Researchers delved into how ChatGPT influences user decision-making, focusing on the ‘choice overload’ phenomenon. This condition emerges when an individual is overwhelmed by numerous options, often leading to decision paralysis or dissatisfaction.

The study found, however, that users preferred larger numbers of recommendations from ChatGPT over those from humans or online agents, appreciating the perceived accuracy of the chatbot’s suggestions. This points towards a new paradigm where AI-generated options might enhance decision-making processes across various industries.

The results of the Chi-Nu physics experiment at Los Alamos National Laboratory have contributed essential, never-before-observed data for enhancing nuclear security applications, understanding criticality safety and designing fast-neutron energy reactors. The Chi-Nu project, a years-long experiment measuring the energy spectrum of neutrons emitted from neutron-induced fission, recently concluded the most detailed and extensive uncertainty analysis of the three major actinide elements—uranium-238, uranium-235 and plutonium-239.

“Nuclear fission and related nuclear chain reactions were only discovered a little more than 80 years ago, and experimenters are still working to provide the full picture of fission processes for the major actinides,” said Keegan Kelly, a physicist at Los Alamos National Laboratory. “Throughout the course of this project, we have observed clear signatures of fission processes that in many cases were never observed in any previous experiment.”

The Los Alamos team’s final Chi-Nu study, on the isotope uranium-238, was recently published in Physical Review C. The experiment measured uranium-238’s prompt fission neutron spectrum: the energy of the neutron inducing the fission—the neutron that crashes into a nucleus and splits it—and the potentially wide-ranging energy distribution (the spectrum) of the neutrons released as a result. Chi-Nu focuses on “fast-neutron-induced” fission, with incident neutron energies in millions of electron volts, where there have typically been very few measurements.

The brain is a sophisticated biological system known to produce different experiences and perceptions via complex dynamics. Different brain regions and neural populations commonly work in tandem, communicating with each other to ultimately produce specific behaviors and sensations.

Researchers at University of Oxford and the Max Planck Institute for Dynamics and Self-Organization recently carried out a study aimed at better understanding the neural dynamics underpinning this communication between neural populations. Their findings, gathered in Nature Neuroscience, show that the probability that mice will perceive something is linked to a variability of neural activity in the brain region that processes the incoming stimulus information.

“Generally, we are interested in how the brain processes information,” James Rowland and Thijs Van der Plas, co-authors of the paper, told Medical Xpress. “The brain receives inputs from the senses which reflect what is happening in the world around it. It must then make sense of this information and use it to make decisions and take actions. To achieve this, the brain is built on a principle of division of labor, where different regions are specialized to perform distinct tasks.”

Researchers have created chip-based photonic resonators that operate in the ultraviolet (UV) and visible regions of the spectrum and exhibit a record low UV light loss. The new resonators lay the groundwork for increasing the size, complexity and fidelity of UV photonic integrated circuit (PIC) design, which could enable new miniature chip-based devices for applications such as spectroscopic sensing, underwater communication and quantum information processing.

“Compared to the better-established fields like telecom photonics and visible photonics, UV photonics is less explored even though UV wavelengths are needed to access certain atomic transitions in atom/ion-based quantum computing and to excite certain fluorescent molecules for biochemical sensing,” said research team member Chengxing He from Yale University. “Our work sets a good basis toward building photonic circuits that operate at UV wavelengths.”

In Optics Express, the researchers describe the alumina-based optical microresonators and how they achieved an unprecedented low loss at UV wavelengths by combining the right material with optimized design and fabrication.