Lifeboat Foundation

A National Institute for Materials Science (NIMS) research team has developed the world’s first n-channel diamond MOSFET (metal-oxide-semiconductor field-effect transistor). The developed n-channel diamond MOSFET provides a key step toward CMOS (complementary metal-oxide-semiconductor: one of the most popular technologies in the computer chip) integrated circuits for harsh environment applications, as well as the development of diamond power electronics. The research is published in Advanced Science.

Semiconductor diamond has outstanding physical properties such as ultra wide-bandgap energy of 5.5 eV, high carriers mobilities, and high thermal conductivity, which is promising for the applications under extreme environmental conditions with high performance and high reliability, such as the environments with high temperatures and high levels of radiation (e.g., in proximity to nuclear reactor cores).

By using diamond electronics, not only can the thermal management demand for conventional semiconductors be alleviated but these devices are also more energy efficient and can endure much higher breakdown voltages and harsh environments.

Researchers from Children’s Hospital of Philadelphia (CHOP) identified a key metabolite in cells that helps direct immune responses and explains at a single cell level why immune cells that most efficiently recognize pathogens, vaccines, or diseased cells grow and divide faster than other cells.

The findings also indicate that a better understanding of this metabolite and its role in immune response could improve the design of immunotherapies and create longer-lived responses against different types of cancer as well as enhance vaccine strategies. The findings were published online by the journal Science Immunology in a paper titled “Single-cell NAD(H) levels predict clonal lymphocyte expansion dynamics.”

Antigens are foreign substances that our immune system recognizes and responds to by producing more T and B cells. These cells each have unique receptors that recognize specific antigens and can respond appropriately, and they can “remember” and respond similarly when exposed to the same antigen again.

Neuromorphic chips could reduce energy bills for AI developers as well as emit useful cybersecurity signals in the future of computing.

Artificial Intelligence — yada, yada, yada.

Sometimes the only way to learn how to swim is to be tossed into the deep end. And that is exactly what I have decided to do.

Herewith a very short elementary course. ChatGPT, OpenAI etc. are all based on LLM — large language models. They scraped a couple billion words and images and then using a magic Cuisinart, they mixed and matched until their platform software was able to know what you thought you were thinking before you thought it, or in the alternative gave you information in an elegant format that you could give to your professor while assuring him that you wrote or painted it yourself. Or not.

When a positive voltage was applied to the chip, the ions flowed to the pore, where their pressure created a blister between the chip’s surface and the graphite layer. When the blister forced the graphite upward, the device became more conductive, switching its memory state to “on.” Since the graphite stayed lifted even without a current, the chip essentially remembered this state, A negative voltage could pull the chip’s layers back together, resetting the device to its “off” state.

The scientists were able to connect two of these chips to form a logic gate —a circuit that can implement logical operations such as AND, OR, and NOT. They note they can build any other classical logic gate commonly employed in digital computing using their logic gate. This is the first time multiple fluidic memristors have been connected to form a circuit.

Previously, scientists developed fluidic memristors based on tiny syringes or microscopic slits. However, these earlier devices were too bulky and complex to scale up to larger systems. In contrast, the new microchips are compact and scalable, Emmerich says.

IceCube Researchers reported on the stringent constraints on potential quantum fluctuations of spacetime itself.

Birds flock. Locusts swarm. Fish school. Within assemblies of organisms that seem as though they could get chaotic, order somehow emerges. The collective behaviors of animals differ in their details from one species to another, but they largely adhere to principles of collective motion that physicists have worked out over centuries. Now, using technologies that only recently became available, researchers have been able to study these patterns of behavior more closely than ever before.

In this episode, the evolutionary ecologist Iain Couzin talks with co-host Steven Strogatz about how and why animals exhibit collective behaviors, flocking as a form of biological computation, and some of the hidden fitness advantages of living as part of a self-organized group rather than as an individual. They also discuss how an improved understanding of swarming pests such as locusts could help to protect global food security.

Listen on Apple Podcasts, Spotify, Google Podcasts, TuneIn or your favorite podcasting app, or you can stream it from Quanta.

Creativity involves many parts of the brain.

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