Lifeboat Foundation

MSU researcher Carolina de Aguiar Ferreira is changing the way we fight cancer. She is precisely targeting cancer cells with diagnostics and therapies using radioisotopes produced by FRIB, the world’s most powerful heavy-ion accelerator.

Using breakthrough tools to target cancer led Carolina de Aguiar Ferreira to MSU, where she found a community of scientists who discover better together.

Continue reading “A Spartan changing the way we fight cancer” »

Scientists have found a star unlike any other one recorded—which may change our understanding of how stars die.

This unusual star, 13,000 light-years away, has an elemental makeup that suggests it was formed in the aftermath of a more massive star exploding in a way that no existing theory seems to explain. According to everything else we know, the original star should have turned into a black hole instead.

The discovery may rearrange our picture of how stars explode and how some of the heavier elements are made. It also helps us better understand what the first generation of stars in the universe may have looked like.

Restricting calories is known to improve health and increase lifespan, but much of how it does so remains a mystery, especially in regard to how it protects the brain. Buck Institute for Research on Aging scientists have uncovered a role for a gene called OXR1 that is necessary for the lifespan extension seen with dietary restriction and is essential for healthy brain aging.

“When people restrict the amount of food that they eat, they typically think it might affect their digestive tract or fat buildup, but not necessarily about how it affects the brain,” said Kenneth Wilson, Ph.D., Buck postdoc and first author of the study, published in Nature Communications. “As it turns out, this is a gene that is important in the brain.”

The team additionally demonstrated a detailed cellular mechanism of how dietary restriction can delay aging and slow the progression of neurodegenerative diseases. The work, done in fruit flies and human cells, also identifies potential therapeutic targets to slow aging and age-related neurodegenerative diseases.

Part 2: This is the second of a three-part series on how Stanford Medicine researchers are designing vaccines that protect people from not merely individual viral strains but broad ranges of them. The ultimate goal: a vaccine with coverage so broad it can protect against viruses never before encountered.

The series opener focused on why having vaccines that cover not just one strain of a single virus, but many, could be an invaluable advance. Although Part 1 focused on the COVID-19-causing SARS-CoV-2 as a textbook example, that strain-spewing microbe is just one of many viruses to worry about.

Take, for instance, the old steady: influenza.

Dr. Avshalom Cyrus Elitzur (Hebrew: אבשלום כורש אליצור; born 30 May 1957) is an Israeli physicist, philosopher and professor at Chapman University. He is also the founder of the Israeli Institute for Advanced Physics. He obtained his PhD under Yakir Aharanov. Elitzur became a household name among physicists for his collaboration with Lev Vaidman in formulating the “bomb-testing problem” in quantum mechanics, which has been validaded by two Nobel-prize-winning physicists. Elitzur’s work has sparked extensive discussions about the foundations of quantum mechanics and its interpretations, including the Copenhagen interpretation, many-worlds interpretation, and objective collapse models. His contributions have had a profound impact on both physics and philosophy, influencing debates about measurement, the role of observers, and the ontology of quantum states. Elitzur has also engaged in discussions about consciousness, the arrow of time, and other foundational topics, including a recent breakthrough in bio-thermodynamics and the “ski-lift” pathway.

Elitzur’s Google Scholar page: https://tinyurl.com/5n7a8hd6
Elitzur’s Wikipedia page: https://en.wikipedia.org/wiki/Avshalo…
IAI Article: https://iai.tv/articles/a-radical-new…

Continue reading “Avshalom Elitzur on Biology, Thermodynamics, and Information: A Tutorial” »

New A.I. tools could enable a Silicon Valley dream: bots that customize learning for pupils. Prior attempts have not lived up to the hype.

Artificial intelligence has progressed from sci-fi fantasy to mainstream reality. AI now powers online tools from search engines to voice assistants and it is used in everything from medical imaging analysis to autonomous vehicles. But the advance of AI will soon collide with another pressing issue: energy consumption.

Much like cryptocurrencies today, AI risks becoming a target for criticism and regulation based on its high electricity appetite. Partisans are forming into camps, with AI optimists extolling continued progress through more compute power, while pessimists are beginning to portray AI power usage as wasteful and even dangerous. Attacks echo those leveled at crypto mining in recent years. Undoubtedly, there will be further efforts to choke off AI innovation by cutting its energy supply.

The pessimists raise some valid points. Developing ever-more capable AI does require vast computing resources. For example, the amount of compute used to train OpenAI’s ChatGPT-3 reportedly equaled 800 petaflops of processing power—on par with the 20 most powerful supercomputers in the world combined. Similarly, ChatGPT receives somewhere on the order of hundreds of millions of queries each day. Estimates suggest that the electricity required to respond to all these queries might be around 1 GWh daily, enough to power the daily energy consumption of about 33,000 U.S. households. Demand is expected to further increase in the future.

University of California, San Diego developed this implant using a high electrode density combined with machine learning.

“We are expanding the spatial reach of neural recordings with this technology,” said study senior author Duygu Kuzum, a Department of Electrical and Computer Engineering professor at the UC San Diego Jacobs School of Engineering.

“Even though our implant resides on the brain’s surface, its design goes beyond the limits of physical sensing in that it can infer neural activity from deeper layers,” added Kuzum.

Continue reading “Researchers create transparent implant to decipher deep brain activity” »

New method captures better thermal details, helpful for self-driving, identifying materials, and enhancing security measures.

Scientists have created a novel technology using meta-optical devices to conduct thermal imaging. Like a pair of glasses, this device does thermal imaging and can also identify the objects being imaged.

This expands the potential applications of thermal imaging in various fields, including security, thermography, medical imaging, and remote sensing.

Continue reading “Innovative meta-optical devices enhance thermal imaging applications” »