Lifeboat Foundation

An electronic stacking technique has the potential to exponentially boost the number of transistors on chips, paving the way for more efficient AI hardware.

The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out.

Instead of squeezing ever-smaller transistors onto a single surface, the industry is aiming to stack multiple surfaces of transistors and semiconducting elements — akin to turning a ranch house into a high-rise. Such multilayered chips could handle exponentially more data and carry out many more complex functions than today’s electronics.

A new study uncovers a molecular modification method for converting CO₂ into valuable chemical resources using a platinum surface.

Copper-based (Cu) materials are widely recognized for their efficiency in converting CO₂ into valuable hydrocarbons via the CO₂ reduction reaction (CO₂RR). However, their stability, particularly in acidic environments, needs significant improvement. In contrast, metallic platinum (Pt) demonstrates excellent stability under both acidic and alkaline conditions. However, its high activity in the hydrogen evolution reaction (HER) hinders its effectiveness in CO₂RR applications.

To address these challenges, composite materials incorporating metal-doped molecules offer a promising solution. These modified molecules can be securely retained at the interface, forming a unique structure that enhances the metal interface properties. This configuration not only increases the contact between reactants and active sites but also optimizes the adsorption strength of critical intermediates, ultimately improving catalytic performance.

Migrating bats cleverly harness the warm winds of storm fronts to reduce energy use during their long seasonal journeys, as revealed by innovative tracking technology.

Scientists found these tiny nocturnal travelers exhibit unexpected flexibility and adaptability in their migration patterns. Yet, they face mounting challenges from anthropogenic threats and environmental changes, underscoring the urgency for conservation efforts.

Continue reading “Storm Surfers of the Sky: How Bats Harness Winds to Power Migration” »

Background: Open-world games, characterized by their expansive and interactive environments, may offer unique cognitive escapism opportunities, potentially leading to relaxation and enhanced well-being. These games, such as “The Legend of Zelda: Breath of the Wild” and “The Legend of Zelda: Tears of the Kingdom,” allow players to experience a sense of freedom and autonomy, which can reduce stress and improve mental health. While previous research has examined the general impact of video games on mental well-being, specific studies on the effects of open-world games among postgraduate students are limited.

Objective: This study aims to investigate the relationships between cognitive escapism provided by open-world games and their effects on relaxation and well-being. The goal was to understand how the immersive nature of these games contributes to stress reduction and overall mental health improvement among postgraduate students.

Methods: A mixed methods approach was used, which involved in-depth exploratory qualitative interviews and a survey of 609 players of popular open-world games. Quantitative data were collected using standardized questionnaires to measure open-world games’ affordance of cognitive escapism, relaxation, and well-being. Qualitative data were obtained through 32 in-depth interviews that explored players’ experiences and perceptions of cognitive escapism, relaxation, and mental well-being.

USTC researchers created a groundbreaking on-chip photonic simulator, leveraging thin-film lithium niobate chips to simplify quantum simulations of complex structures, achieving high-dimensional synthetic dimensions with reduced frequency demands.

A research team led by Prof. Chuanfeng Li from the University of Science and Technology of China (USTC) has made a significant breakthrough in quantum photonics. The team successfully developed an on-chip photonic simulator capable of modeling arbitrary-range coupled frequency lattices with gauge potential. This achievement was detailed in a recent publication in Physical Review Letters.

<em>Physical Review Letters (PRL)</em> is a prestigious peer-reviewed scientific journal published by the American Physical Society. Launched in 1958, it is renowned for its swift publication of short reports on significant fundamental research in all fields of physics. PRL serves as a venue for researchers to quickly share groundbreaking and innovative findings that can potentially shift or enhance understanding in areas such as particle physics, quantum mechanics, relativity, and condensed matter physics. The journal is highly regarded in the scientific community for its rigorous peer review process and its focus on high-impact papers that often provide foundational insights within the field of physics.

Summary: Researchers have discovered a way to control human body temperature, mimicking the hibernation process of animals like bears. By manipulating the brain’s temperature regulation system, they can induce a state of “thermoregulatory inversion” (TI) in rats, reducing heat production even in cold environments.

This breakthrough could lead to controlled hypothermia in humans, improving survival rates in life-threatening situations like heart attacks and strokes. The discovery opens the door to therapeutic hypothermia, which can protect tissues from damage by lowering metabolism and oxygen demand.

While most humans can innately use their hands to communicate with others or grab and manipulate objects, many existing robotic systems only excel at simple manual tasks. In recent years, computer scientists worldwide have been developing machine learning-based models that can process images of humans completing manual tasks, using acquired information to improve robot manipulation, which could in turn enhance a robot’s interactions with both humans and objects in its surroundings.

It’s the size of a desktop.

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors—a type of immunotherapy—using only routine blood tests and clinical data.

The artificial intelligence–based model, dubbed SCORPIO, was developed by a team of researchers from Memorial Sloan Kettering Cancer Center (MSK) and the Tisch Cancer Institute at Mount Sinai.

The model is not only cheaper and more accessible, it’s significantly better at predicting outcomes than the two current biomarkers approved by the U.S. Food and Drug Administration (FDA), according to findings published in Nature Medicine.