Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 11

Marking a breakthrough in the field of brain-computer interfaces (BCIs), a team of researchers from UC Berkeley and UC San Francisco has unlocked a way to restore naturalistic speech for people with severe paralysis.

This work solves the long-standing challenge of latency in speech neuroprostheses, the time lag between when a subject attempts to speak and when sound is produced. Using recent advances in artificial intelligence-based modeling, the researchers developed a streaming method that synthesizes brain signals into audible speech in near-real time.

As reported in Nature Neuroscience, this technology represents a critical step toward enabling communication for people who have lost the ability to speak.

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Researchers have developed “infomorphic neurons” that learn independently, mimicking their biological counterparts more accurately than previous artificial neurons. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) has programmed these infomorphic neurons and constructed artificial neural networks from them.

The special feature is that the individual artificial neurons learn in a self-organized way and draw the necessary information from their immediate environment in the network. Their findings are published in the journal Proceedings of the National Academy of Sciences.

Both the and modern are extremely powerful. At the lowest level, the neurons work together as rather simple computing units.

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Without the ability to control infrared light waves, autonomous vehicles wouldn’t be able to quickly map their environment and keep “eyes” on the cars and pedestrians around them; augmented reality couldn’t display realistic 3D displays; doctors would lose an important tool for early cancer detection. Dynamic light control allows for upgrades to many existing systems, but complexities associated with fabricating programmable thermal devices hinder availability.

A new active metasurface, the electrically-programmable graphene field effect transistor (Gr-FET), from the labs of Sheng Shen and Xu Zhang in Carnegie Mellon University’s College of Engineering, enables the control of mid-infrared states across a wide range of wavelengths, directions, and polarizations. This enhanced control enables advancements in applications ranging from infrared camouflage to personalized health monitoring.

“For the first time, our active metasurface devices exhibited the monolithic integration of the rapidly modulated temperature, addressable pixelated imaging, and resonant infrared spectrum,” said Xiu Liu, postdoctoral associate in mechanical engineering and lead author of the paper published in Nature Communications. “This breakthrough will be of great interest to a wide range of infrared photonics, , biophysics, and thermal engineering audiences.”

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Controlling magnetism in a device is not easy; unusually large magnetic fields or lots of electricity are needed, which are bulky, slow, expensive and/or waste energy. But that looks soon to change, thanks to the recent discovery of altermagnets. Now scientists are putting forth ideas for efficient switches to manage magnetism in devices.

Magnetism has traditionally come in two varieties: ferromagnetism and antiferromagnetism, based on the alignment (or not) of in a material. Early last year, physicists announced experimental evidence for a third variety of magnetism: altermagnetism, a different combination of spins and crystal symmetries. Researchers are now learning how to tune altermagnets, bringing science closer towards practical applications.

We’re all familiar with ferromagnetism (FM), like a refrigerator magnet or compass needle, where magnetic moments in atoms lined up in parallel in a crystal. A second class was added about a hundred years ago called antiferromagnetism (AFM), where magnetic moments in a crystal align regularly in alternate directions on differing sublattices, so the crystal has no net magnetization, but usually does at low temperatures.

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Humans like to think that being multicellular (and bigger) is a definite advantage, even though 80% of life on Earth consists of single-celled organisms—some thriving in conditions lethal to any beast.

In fact, why and how multicellular life evolved has long puzzled biologists. The first known instance of multicellularity was about 2.5 billion years ago, when marine cells (cyanobacteria) hooked up to form filamentous colonies. How this transition occurred and the benefits it accrued to the cells, though, is less than clear.

A study originating from the Marine Biological Laboratory (MBL) presents a striking example of cooperative organization among cells as a potential force in the evolution of multicellular life. Based on the fluid dynamics of cooperative feeding by Stentor, a relatively giant unicellular organism, the report is published in Nature Physics.

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Over the past year, AI researchers have found that when AI chatbots such as ChatGPT find themselves unable to answer questions that satisfy users’ requests, they tend to offer false answers. In a new study, as part of a program aimed at stopping chatbots from lying or making up answers, a research team added Chain of Thought (CoT) windows. These force the chatbot to explain its reasoning as it carries out each step on its path to finding a final answer to a query.

They then tweaked the to prevent it from making up answers or lying about its reasons for making a given choice when it was seen doing so through the CoT window. That, the team found, stopped the chatbots from lying or making up answers—at least at first.

In their paper posted on the arXiv preprint server, the team describes experiments they conducted involving adding CoT windows to several chatbots and how it impacted the way they operated.

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Researchers from the Chair of Optics and Photonics of Condensed Matter led by Prof. Dr. Carsten Deibel at the Chemnitz University of Technology and other partner institutions are currently working on solar cells made from novel organic semiconductors that can be produced using established printing processes. The scientists are collaborating interdisciplinarily to fundamentally understand these photovoltaic cells in order to further improve them.

“Organic solar cells can be produced very easily and cheaply using printing processes,” says Deibel. In contrast to established made of , however, the current flow in is very slow.

“Due to the production of the solar cells from a kind of ink, the organic, light-absorbing layers are very disordered. Therefore, the current flow is very slow,” explains Deibel. A consequence of the slow transport of light-generated electrons and holes is the so-called transport resistance, which reduces the fill factor of the solar cells and thus the power.

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Like a bumblebee flitting from flower to flower, a new insect-inspired flying robot created by engineers at the University of California, Berkeley, can hover, change trajectory and even hit small targets. Less than 1 centimeter in diameter, the device weighs only 21 milligrams, making it the world’s smallest wireless robot capable of controlled flight.

“Bees exhibit remarkable aeronautical abilities, such as navigation, hovering and pollination, that artificial flying robots of similar scale fail to do,” said Liwei Lin, Distinguished Professor of Mechanical Engineering at UC Berkeley. “This flying robot can be wirelessly controlled to approach and hit a designated target, mimicking the mechanism of pollination as a bee collects nectar and flies away.”

Lin is the senior author of a new paper describing the robot that was published on Friday, March 28 in the journal Science Advances.

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A research team has identified a previously unknown degradation mechanism that occurs during the use of lithium-ion batteries. Their findings are published in Advanced Energy Materials.

The team includes researcher Seungyun Jeon and Dr. Gukhyun Lim, led by Professor Jihyun Hong from the Department of Battery Engineering at POSTECH (Pohang University of Science and Technology), in collaboration with Professor Jongsoon Kim’s group at Sungkyunkwan University.

Lithium-ion batteries, which are essential for , typically use nickel-manganese-cobalt (NMC) ternary cathodes. To reduce costs, recent industry trends have favored increasing the nickel content while minimizing the use of expensive cobalt. However, higher nickel content tends to shorten the overall cycle life of the battery.

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The last time a new class of antibiotics reached the market was nearly three decades ago—but that could soon change, thanks to a discovery by researchers at McMaster University.

A team led by researcher Gerry Wright has identified a strong candidate to challenge even some of the most drug-resistant bacteria on the planet: a called lariocidin. The findings were published in the journal Nature on March 26, 2025.

The discovery of the all-new class of antibiotics responds to a critical need for new antimicrobial medicines, as bacteria and other microorganisms evolve new ways to withstand existing drugs. This phenomenon is called antimicrobial resistance—or AMR—and it’s one of the top global public health threats, according to the World Health Organization.

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