Lifeboat Foundation

High-performance computing (HPC) has become an essential tool for processing large datasets and simulating nature’s most complex systems. However, researchers face difficulties in developing more intensive models because Moore’s Law—which states that computational power doubles every two years—is slowing, and memory bandwidth still cannot keep up with it. But scientists can speed up simulations of complex systems by using compression algorithms running on AI hardware.

A team led by computer scientist Hatem Ltaief are tackling this problem head-on by employing hardware designed for artificial intelligence (AI) to help scientists make their code more efficient. In a paper published in the journal High Performance Computing, they now report making simulations up to 150 times faster in the diverse fields of climate modeling, astronomy, seismic imaging and wireless communications.

Previously, Ltaief and co-workers showed that many scientists were riding the wave of hardware development and “over-solving” their models, carrying out lots of unnecessary calculations.

This simulation models a huge number of atoms in detail with the help of artificial intelligence.

By Alex Wilkins

Something not musk:

No one will ever be able to see a purely mathematical construct such as a perfect sphere. But now, scientists using supercomputer simulations and atomic resolution microscopes have imaged the signatures of electron orbitals, which are defined by mathematical equations of quantum mechanics and predict where an atom’s electron is most likely to be.

Scientists at UT Austin, Princeton University, and ExxonMobil have directly observed the signatures of electron orbitals in two different transition-metal atoms, iron (Fe) and cobalt (Co) present in metal-phthalocyanines. Those signatures are apparent in the forces measured by atomic force microscopes, which often reflect the underlying orbitals and can be so interpreted.

Continue reading “Supercomputing simulations spot electron orbital signatures” »

The discovery of a new type of stem cell in deer antlers could lead to breakthroughs in human regeneration.

Since the system is designed to help those who are losing their voices due to motor or cognitive impairment, the training is also flexible. If you can’t do a 15-minute training session, you can stop and start until you’ve made it through all the sentences. In addition, the training system is self-guided, so there’s no screen-tapping necessary.

While the system is not designed as a voice-over system, you can use Personal Vocie to save often-used phrases like “How are you?” “Thank you,” and “Where is the bathroom?”

Personal Voice will live under Settings/Accessibility on the iPhone, iPad, and Mac, and works with any of these devices running Apple silicon. For now, it only supports English.

NewLimit, a company working towards the radical extension of human healthspan using epigenetic reprogramming has announced it has secured $40 million in Series A funding from prominent investors including Dimension, Founders Fund, and Kleiner Perkins.

This investment further bolsters the company’s belief that therapies to delay, halt or even reverse aging can be found through the exploration of epigenetic reprogramming. With a strong belief that their innovative approach can also address various age-related diseases, NewLimit aims to revolutionize the field of aging biology and pave the way for transformative advancements in healthcare.

Longevity. Technology: Epigenetic reprogramming is an emerging but exciting field of geroscience. It involves the identification of specific sets of transcription factors that can induce changes in gene expression and cellular behavior, effectively reversing or modifying the epigenetic markers associated with aging. This approach offers a unique opportunity to rejuvenate cells and tissues, potentially slowing down or even reversing the effects of aging and its related diseases. NewLimit says that while its products are designed to treat aging itself, the company also believes “these products could treat or prevent many diseases associated with aging, including fibrosis, infectious disease, and neurodegenerative disease.”

When the machine became ubiquitous in homes across America, a new kind of anxiety captivated consumers.

Researchers in Sweden have built a transistor out of a plank of wood by incorporating electrically c.

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

The paper, “Discovering small-molecule senolytics with deep neural networks,” authored in collaboration with researchers from the Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard, describes the AI-guided screening of more than 800,000 compounds to reveal three drug candidates with comparable efficacy and superior medicinal chemistry properties than those of senolytics currently under investigation.

“This research result is a significant milestone for both longevity research and the application of artificial intelligence to drug discovery,” said Felix Wong, Ph.D., co-founder of Integrated Biosciences and first author of the publication. “These data demonstrate that we can explore chemical space in silico and emerge with multiple candidate anti-aging compounds that are more likely to succeed in the clinic, compared to even the most promising examples of their kind being studied today.”