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NASA and SpaceX Adjust Launch Schedule

NASA and SpaceX are now targeting Friday, February 28, for the launch of the SPHEREx and PUNCH missions, with liftoff scheduled no earlier than 10:09 p.m. EST

EST is an abbreviation for Eastern Standard Time, the time zone for the eastern coast of the United States and Canada when observing standard time (autumn/winter). It is five hours behind Coordinated Universal Time. New York City, Washington, D.C., Boston, and the Kennedy Space Center are in the Eastern Time Zone (ET).

Swimming robots are essential for mapping pollution, studying aquatic ecosystems, and monitoring water quality in sensitive areas such as coral reefs and lake shores. However, many existing models rely on noisy propellers that can disturb or even harm wildlife. Additionally, navigating these environments is challenging due to natural obstacles like plants, animals, and debris.

To address these issues, researchers from the Soft Transducers Lab and the Unsteady Flow Diagnostics Laboratory at EPFL’s School of Engineering, in collaboration with the Max Planck Institute for Intelligent Systems, have developed a compact, highly maneuverable swimming robot. Smaller than a credit card and weighing just six grams, this agile robot can navigate tight spaces and carry payloads significantly heavier than itself. Its design makes it particularly suited for confined environments such as rice fields or for inspecting waterborne machinery. The study has been published in Science Robotics.

“In 2020, our team demonstrated autonomous insect-scale crawling robots, but making untethered ultra-thin robots for aquatic environments is a whole new challenge,” says EPFL Soft Transducers Lab head Herbert Shea. “We had to start from scratch, developing more powerful soft actuators, new undulating locomotion strategies, and compact high-voltage electronics”

Researchers from HSE University and the London School of Hygiene and Tropical Medicine have identified 15 core motives that drive human behavior. By examining individuals’ perspectives, preferences, and actions through an evolutionary framework, they revealed how these motives interact to shape personal habits and social relationships. Their findings are published in Personality and Individual Differences.

Psychologists have long sought to understand what drives human behavior, employing various theories to analyze underlying motivations. One of the most well-known models is Abraham Maslow’s hierarchy of needs, introduced in the mid-20th century. However, while many approaches emphasize the social aspects of motivation, they often overlook its evolutionary foundations.

A group of researchers at HSE University and the London School of Hygiene and Tropical Medicine proposed analyzing human behavior motives from an evolutionary perspective. In the proposed framework, all motives are viewed as evolutionary adaptations that enhanced early humans’ ability to survive in their environment and continue to influence behavior today. The scientists proceed from the premise that if certain evolutionary mechanisms once triggered specific behaviors, the underlying motives can be identified using standard psychometric techniques.

A new AI-driven tool allows scientists to analyze vast amounts of LIGO

LIGO, or the Laser Interferometer Gravitational-Wave Observatory, is a large-scale physics experiment and observatory to detect cosmic gravitational waves and to develop gravitational-wave observations as an astronomical tool. There are two LIGO observatories in the United States—one in Hanford, Washington, and the other in Livingston, Louisiana. These observatories use laser interferometry to measure the minute ripples in spacetime caused by passing gravitational waves from cosmic events, such as the collisions of black holes or neutron stars.

A black hole is a place in space where the gravitational field is so strong that not even light can escape it. Astronomers classify black holes into three categories by size: miniature, stellar, and supermassive black holes. Miniature black holes could have a mass smaller than our Sun and supermassive black holes could have a mass equivalent to billions of our Sun.

In the late 1960s, physicists like Charles Misner proposed that the regions surrounding singularities—points of infinite density at the centers of black holes—might exhibit chaotic behavior, with space and time undergoing erratic contractions and expansions. This concept, termed the “Mixmaster universe,” suggested that an astronaut venturing into such a black hole would experience a tumultuous mixing of their body parts, akin to the action of a kitchen mixer.

S general theory of relativity, which describes the gravitational dynamics of black holes, employs complex mathematical formulations that intertwine multiple equations. Historically, researchers like Misner introduced simplifying assumptions to make these equations more tractable. However, even with these assumptions, the computational tools of the time were insufficient to fully explore the chaotic nature of these regions, leading to a decline in related research. + Recently, advancements in mathematical techniques and computational power have reignited interest in studying the chaotic environments near singularities. Physicists aim to validate the earlier approximations made by Misner and others, ensuring they accurately reflect the predictions of Einsteinian gravity. Moreover, by delving deeper into the extreme conditions near singularities, researchers hope to bridge the gap between general relativity and quantum mechanics, potentially leading to a unified theory of quantum gravity.

Understanding the intricate and chaotic space-time near black hole singularities not only challenges our current physical theories but also promises to shed light on the fundamental nature of space and time themselves.


Physicists hope that understanding the churning region near singularities might help them reconcile gravity and quantum mechanics.

Many people have experienced frustration when dealing with artificial intelligence chatbots for customer support or technical assistance. New research from the University of Kansas has found when dealing with embarrassing issues, people prefer the anonymity and nonjudgmental nature of AI chatbots. However, when angry, they still preferred dealing with a fellow human.

The COVID-19 pandemic both angered and embarrassed people around the world as they dealt with new and frequently changing information and misinformation on vaccines, social distancing and related topics. KU researchers conducted a lab-based experimental study in which they gauged people’s attitudes about vaccines, showed them content that could arouse anger or embarrassment and randomly assigned them AI or human assistance to further gauge their knowledge and attitudes about vaccines.

Vaibhav Diwanji, assistant professor of journalism and mass communications at KU and lead author of the study, researches new and emerging technologies’ influence on consumers.

Dr. Theofanopoulou studies neural circuits behind sensory-motor behaviors like speech and dance, aiming to develop drug-and arts-based therapies for brain disorders. Her brain imaging research reveals overlapping motor cortex regions controlling muscles for speech and dance, while transcriptomic studies show upregulation of the oxytocin gene pathway in key areas like the motor cortex and brainstem. Using zebra finches, Bengalese finches, white-rumped munias, and humans, she demonstrates oxytocin’s role in vocal production. She also developed genomic tools to apply these findings across vertebrates. Her future work explores oxytocin-based drugs and dance therapies to treat speech and motor deficits in brain disorders. Recorded on 02/14/2025. [3/2025] [Show ID: 40384]

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Learn more about anthropogeny on CARTA’s website:
https://carta.anthropogeny.org/

More videos from: CARTA: The Origin of Love.