Webb’s infrared views of Cepheids agreed with Hubble’s optical-light data.
Webb confirmed that the Hubble’s keen eye was right all along, erasing any lingering doubt about Hubble’s measurements.
The bottom line is that the Hubble Tension between what happens in the nearby Universe compared to the early Universe’s expansion remains a nagging puzzle for cosmologists.
In the 1920s, Edwin Hubble and Georges Lemaitre made a startling discovery that forever changed our perception of the Universe. Upon observing galaxies beyond the Milky Way and measuring their spectra, they determined that the Universe was expanding. By the 1990s, with the help of the Hubble Space Telescope, scientists took the deepest images of the Universe to date and made another startling discovery: the rate of expansion is speeding up! This parameter, denoted by Lambda, is integral to the accepted model of cosmology, known as the Lambda Cold Dark Matter (LCDM) model.
Since then, attempts to measure distances have produced a discrepancy known as the “Hubble Tension.” While it was hoped that the James Webb Space Telescope (JWST) would resolve this “crisis in cosmology,” its observations have only deepened the mystery. This has led to several proposed resolutions, including the idea that there was an “Early Dark Energy” shortly after the Big Bang. In a recent paper, an international team of astrophysicists proposed a new solution based on an alternate theory of gravity that states that our galaxy is in the center of an “under-density.”
The study was led by Sergij Mazurenko, an undergraduate physics student at the University of Bonn. He was joined by Indranil Banik, a Research Fellow with the Scottish Universities Physics Alliance at the University of Saint Andrews; Pavel Kroupa, an astrophysicist professor with The Stellar Populations and Dynamics Research Group at the University of Bonn and the Astronomical Institute at Charles University, and Moritz Haslbauer, a Ph.D. student at the Max Planck Institute for Radioastronomy (MPIfR). The paper that describes their findings recently appeared in the Monthly Notices of the Royal Astronomical Society (MNRAS).
THIS week news broke that declining fertility rates could affect most countries in a quarter of a century.
The U.S. Sun spoke with one scientist who thinks humanoids will fill this gap in future populations.
According to The Financial Times, 75 percent of nations are predicted to fall beneath population replacement birthrates by 2050.
Neuromorphic computing is an emerging solution for companies specializing in small, energy-efficient edge computing devices and robotics, striving to improve their products. There has been a paradigm shift in computing since the advent of neuromorphic chips. With the potential to unlock new levels of processing speed, energy efficiency, and adaptability, neuromorphic chips are here to stay. Industries from robotics to healthcare are exploring the potential of neuromorphic chips in various applications.
What is Neuromorphic Computing?
Neuromorphic computing is a field within computer science and engineering that draws inspiration from the structure and operation of the human brain. Its goal is to create computational systems, including custom hardware replicating the neural networks and synapses in biological brains. These custom computational systems are commonly known as neuromorphic chips or neuromorphic hardware.
Neutron star mergers are a treasure trove for new physics signals, with implications for determining the true nature of dark matter, according to research from Washington University in St. Louis.
On Aug. 17, 2017, the Laser Interferometer Gravitational-wave Observatory (LIGO), in the United States, and Virgo, a detector in Italy, detected gravitational waves from the collision of two neutron stars. For the first time, this astronomical event was not only heard in gravitational waves but also seen in light by dozens of telescopes on the ground and in space.
Physicist Bhupal Dev in Arts & Sciences used observations from this neutron star merger — an event identified in astronomical circles as GW170817 — to derive new constraints on axion-like particles. These hypothetical particles have not been directly observed, but they appear in many extensions of the standard model of physics.
A research team led by Professor Yuanliang ZHAI at the School of Biological Sciences, The University of Hong Kong (HKU) collaborating with Professor Ning GAO and Professor Qing LI from Peking University (PKU), as well as Professor Bik-Kwoon TYE from Cornell University, has recently made a significant breakthrough in understanding how the DNA copying machine helps pass on epigenetic information to maintain gene traits at each cell division. Understanding how this coupled mechanism could lead to new treatments for cancer and other epigenetic diseases by targeting specific changes in gene activity. Their findings have recently been published in Nature.
Background of the Research.
Our bodies are composed of many differentiated cell types. Genetic information is stored within our DNA which serves as a blueprint guiding the functions and development of our cells. However, not all parts of our DNA are active at all times. In fact, every cell type in our body contains the same DNA, but only specific portions are active, leading to distinct cellular functions. For example, identical twins share nearly identical genetic material but exhibit variations in physical characteristics, behaviours and disease susceptibility due to the influence of epigenetics. Epigenetics functions as a set of molecular switches that can turn genes on or off without altering the DNA sequence. These switches are influenced by various environmental factors, such as nutrition, stress, lifestyle, and environmental exposures.
For the first time, scientists have developed artificial nucleotides, the building blocks of DNA, with several additional properties in the laboratory. The DNA carries the genetic information of all living organisms and consists of only four different building blocks, the nucleotides. Nucleotides are composed of three distinctive parts: a sugar molecule, a phosphate group and one of the four nucleobases adenine, thymine, guanine and cytosine. The nucleotides are lined up millions of times and form the DNA double helix, similar to a spiral staircase. Scientists from the UoC’s Department of Chemistry have now shown that the structure of nucleotides can be modified to a great extent in the laboratory.
The researchers developed so-called threofuranosyl nucleic acid (TNA) with a new, additional base pair. These are the first steps on the way to fully artificial nucleic acids with enhanced chemical functionalities. The study ‘Expanding the Horizon of the Xeno Nucleic Acid Space: Threose Nucleic Acids with Increased Information Storage’ was published in the Journal of the American Chemical Society.
Artificial nucleic acids differ in structure from their originals.
Ok, that was an unexpected turn on my feed. Just had to share. Cool, portable robot that fits in a backpack.
Conquer the Wild | LimX Dynamics’ Biped Robot P1 ventured into Tanglang Mountain Based on Reinforcement Learning ⛰️
⛳️ With Zero-shot Learning, non-protected and fully open testing conditions, P1 successfully navigated the completely strange wilderness of the forest, demonstrating exceptional control and stability post reinforcement learning by dynamically locomoting over various complex terrains.
⛳️ P1 is LimX Dynamics’ innovative point-foot biped robot, serving as an important platform for the systematic development and modular testing of reinforcement learning. It is utilized to advance the research and iteration of basic biped locomotion abilities. The success of P1 in conquering forest terrain is a testament to LimX Dynamics’ systematic R\&D in reinforcement learning.
⛳️ Beyond locomotion, LimX Dynamics continues to make breakthroughs in manipulation and loco-manipulation on humanoid robots, with more developments to be shared in the future.
Artificial human chromosomes that function within human cells hold the potential to revolutionize gene therapies, including treatments for certain cancers, and have numerous laboratory uses. However, significant technical challenges have impeded their progress.
Now a team led by researchers at the Perelman School of Medicine at the University of Pennsylvania has made a significant breakthrough in this field that effectively bypasses a common stumbling block.
In a study recently published in Science, the researchers explained how they devised an efficient technique for making HACs from single, long constructs of designer DNA. Prior methods for making HACs have been limited by the fact that the DNA constructs used to make them tend to join together—“multimerize”—in unpredictably long series and with unpredictable rearrangements. The new method allows HACs to be crafted more quickly and precisely, which, in turn, will directly speed up the rate at which DNA research can be done. In time, with an effective delivery system, this technique could lead to better-engineered cell therapies for diseases like cancer.
This new Blackwell chip essentially can operate at a staggering 20 petaflops and a trillion parameters for AI development.
Twenty petaflops of AI performance, says Nvidia.
