Lifeboat Foundation

Using dual lasers and an advanced gas injection system, researchers at the Berkeley Lab Laser Accelerator Center (BELLA) accelerated a high-quality electron beam to 10 billion electronvolts (10 GeV) over a distance of just 30 centimeters.

Laser-plasma accelerators have the potential to dramatically shrink the size and cost of particle accelerators, benefiting fields such as high-energy physics, medicine, and materials science. Key achievements from BELLA’s recent experiment include:

Scientists are developing nuclear clocks using thin films of thorium tetrafluoride, which could revolutionize precision timekeeping by being less radioactive and more cost-effective than previous models.

This new technology, pioneered by a collaborative research team, enables more accessible and scalable nuclear clocks that may soon move beyond laboratory settings into practical applications like telecommunications and navigation.

Breakthrough in Nuclear Clock Technology.

A team of Children’s Medical Research Institute (CMRI) scientists has identified a new method for producing a therapeutic product that has the potential to improve the treatment of cancer.

The work by Associate Professor Leszek Lisowski and his Translational Vectorology Research Unit is published in the journal Molecular Therapy.

Chimeric antigen receptor (CAR) T cells, also known as CAR T therapies, are a relatively new form of treatment showing very exciting results for several types of cancer. While initially validated for the treatment of B cell malignancies, especially acute lymphoblastic leukemia (ALL), the technology has also shown promise for other cancer types, including solid tumors.

People with breathing problems during sleep may have a larger hippocampus, the area of the brain responsible for memory and thinking, according to a study published in the December 18, 2024, online issue of Neurology.

The study, which included mostly Latino people, also found that those with lower oxygen levels during sleep had changes in the deep parts of the brain, the white matter, a common finding of decreased brain health that develops with age.

Sleep disordered breathing is a range of conditions that cause abnormal breathing during sleep, including snoring and obstructive sleep apnea. Obstructive sleep apnea is when a person stops breathing five or more times per hour. When breathing stops, it can lower oxygen levels, affecting the brain.

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We often imagine that our planet might be a sentient entity — Gaia — but could something like this evolve under known science? And might a conscious world be something we might create in the future?

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Diving deep into the relationship between a concept’s frequency in the training dataset and the ability of a model to imitate it. We seek to determine the point at which a model was trained on enough instances to imitate a concept — the imitation threshold.

Modern materials must be recyclable and sustainable. Consumer electronics is no exception, with organic light-emitting diodes (OLEDs) taking over modern televisions and portable device displays. However, the development of suitable materials—from the synthesis of molecules to the production of display components—is very time-consuming.

Scientists led by Denis Andrienko of the Max Planck Institute for Polymer Research and Falk May from Display Solutions at Merck have now developed a simulation method that could significantly speed up the development of new materials.

High contrast and low power consumption are key features of innovative organic light-emitting diodes. OLEDs use thin films of organic molecules, i.e. carbon-containing molecules, to achieve these goals.

A new visual recognition approach improved a machine learning technique’s ability to both identify an object and how it is oriented in space, according to a study presented in October at the European Conference on Computer Vision in Milan, Italy.

Self-supervised learning is a machine learning approach that trains on unlabeled data, extending generalizability to real-world data. While it excels at identifying objects, a task called semantic classification, it may struggle to recognize objects in new poses.

This weakness quickly becomes a problem in situations like autonomous vehicle navigation, where an algorithm must assess whether an approaching car is a head-on collision threat or side-oriented and just passing by.