Lifeboat Foundation

A collaborative research team from NIMS and Tokyo University of Science has successfully developed a cutting-edge artificial intelligence (AI) device that executes brain-like information processing through few-molecule reservoir computing. This innovation utilizes the molecular vibrations of a select number of organic molecules. By applying this device for the blood glucose level prediction in patients with diabetes, it has significantly outperformed existing AI devices in terms of prediction accuracy.

With the expansion of machine learning applications in various industries, there’s an escalating demand for AI devices that are not only highly computational but also feature low-power consumption and miniaturization. Research has shifted towards physical reservoir computing, leveraging physical phenomena presented by materials and devices for neural information processing. One challenge that remains is the relatively large size of the existing materials and devices.

A lot of information to see your brains complexity.

Mind-boggling mind research.

ALGORITHMS THAT DECODE IMAGES A PERSON SEES OR IMAGINES will enable visual representations of dreams a sleeper is having, and give deeper insights into emotionally disturbed or mentally ill patients.

Go to a href= https://brilliant.org/coldfusion

In a discovery that could hasten treatment for patients with multiple sclerosis (MS), UC San Francisco scientists have discovered a harbinger in the blood of some people who later went on to develop the disease.

In about 1 in 10 cases of MS, the body begins producing a distinctive set of antibodies against its own proteins years before symptoms emerge. These autoantibodies appear to bind to both human cells and common pathogens, possibly explaining the immune attacks on the brain and spinal cord that are the hallmark of MS.

The findings were published in Nature Medicine on April 19.

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AlphaFold 3 can predict how DNA, RNA, and other molecules interact, further cementing its leading role in drug discovery and research. Who will benefit?

Sometimes when you’re considering how to bring the power of AI to a clinical context, it sort of takes a new way of thinking to get inspired about what’s possible.

I was thinking about this the other day, inspired by some people who have been working hard on genomics, oncology research, and other types of biological and anatomical applications. There’s so much of it, suddenly, especially at these institutions that I’m so close to – to call it a “revolution” in my view, isn’t hyperbolic.

Using gene editing for human enhancement.

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The brain is one of the most complex entities in biology. For thousands of years, humans have wondered how the human brain works, but only in the past few years has technology evolved so that scientists can actually answer some of the many questions we have. What are the causes of brain disorders? How do our brains develop? How does the brain heal after a head injury? While we still have a long way to go before we can understand the many facets of the human brain, one technology – CRISPR – has allowed us to start answering these questions on a genetic level.

What is CRISPR?