Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 2,589

A new biohybrid computer combining a “brain organoid” and a traditional AI was able to perform a speech recognition task with 78% accuracy — demonstrating the potential for human biology to one day boost our computing capabilities.

The background: The human brain is the most energy efficient “computer” on Earth — while a supercomputer needs 20 mega watts of power to process more than a quintillion calculations per second, your brain can do the equivalent with just 20 watts (a megawatt is 1 million watts).

This has given researchers the idea to try boosting computers by combining them with a three-dimensional clump of lab-grown human brain cells, known as a brain organoid.

Read more | >

In a paper published in npj Imaging, King’s researchers have assessed the use of fertilized chicken eggs as an alternative model that can resolve both ethical and economic issues for preclinical cancer research.

The use of animal models in is a major contributor to the clinical development of drugs and . However, while invaluable tools, the current standard of using mouse models to recreate diseases is expensive, time-intensive, and complicated by both variable tumor take rates and the associated welfare considerations.

Fertilized contain a highly vascularized membrane, known as the chicken chorioallantoic membrane (CAM), which can provide an ideal environment for and study, but to date, relatively few studies have used chick CAM to evaluate novel radiopharmaceuticals.

Read more | >

Though highly capable – far outperforming humans in big-data pattern recognition tasks in particular – current AI systems are not intelligent in the same way we are. AI systems aren’t structured like our brains and don’t learn the same way.

AI systems also use vast amounts of energy and resources for training (compared to our three-or-so meals a day). Their ability to adapt and function in dynamic, hard-to-predict and noisy environments is poor in comparison to ours, and they lack human-like memory capabilities.

Our research explores non-biological systems that are more like human brains. In a new study published in Science Advances, we found self-organising networks of tiny silver wires appear to learn and remember in much the same way as the thinking hardware in our heads.

Read more | >

Professor Amir Capua, head of the Spintronics Lab within the Institute of Applied Physics and Electrical Engineering at Hebrew University of Jerusalem, announced a pivotal breakthrough in the realm of light-magnetism interactions. The team’s unexpected discovery reveals a mechanism wherein an optical laser beam controls the magnetic state in solids, promising tangible applications in various industries.

“This breakthrough marks a in our understanding of the interaction between light and magnetic materials,” stated Professor Capua. “It paves the way for light-controlled, high-speed memory technology, notably Magnetoresistive Random Access Memory (MRAM), and innovative optical sensor development. In fact, this discovery signals a major leap in our understanding of light-magnetism dynamics.”

The research challenges conventional thinking by unraveling the overlooked magnetic aspect of light, which typically receives less attention due to the slower response of magnets compared to the rapid behavior of light radiation.

Read more | >

Entanglement is a property of quantum physics that is manifested when two or more systems interact in such a way that their quantum states cannot be described independently. In the terminology of quantum physics, they are said to be entangled, i.e. strongly correlated. Entanglement is of paramount importance to quantum computing. The greater the entanglement, the more optimized and efficient the quantum computer.

A study conducted by researchers affiliated with the Department of Physics at São Paulo State University’s Institute of Geosciences and Exact Sciences (IGCE-UNESP) in Rio Claro, Brazil, tested a novel method of quantifying and the conditions for its maximization. Applications include optimizing the construction of a quantum computer.

An article on the study is published as a letter in Physical Review B.

Read more | >