Lifeboat Foundation

Scientists have published the most detailed data set to date on the neural connections of the brain, which was obtained from a cubic millimeter of tissue sample.

A cubic millimeter of brain tissue may not sound like much. But considering that that tiny square contains 57,000 cells, 230 millimeters of blood vessels, and 150 million synapses, all amounting to 1,400 terabytes of data, Harvard and Google researchers have just accomplished something stupendous.

Led by Jeff Lichtman, the Jeremy R. Knowles Professor of Molecular and Cellular Biology and newly appointed dean of science, the Harvard team helped create the largest 3D brain reconstruction to date, showing in vivid detail each cell and its web of connections in a piece of temporal cortex about half the size of a rice grain.

Continue reading “Researchers publish largest-ever dataset of neural connections” »

A new, Yale-led study suggests that a range of respiratory viral infections—including COVID-19 and influenza—may be preventable or treatable with a generic antibiotic that is delivered to the nasal passageway.

A team led by Yale’s Akiko Iwasaki and former Yale researcher Charles Dela Cruz successfully tested the effectiveness of neomycin, a common antibiotic, to prevent or treat respiratory viral infections in animal models when given to the animals via the nose. The team then found that the same nasal approach—this time applying the over-the-counter ointment Neosporin—also triggers a swift immune response by interferon-stimulated genes (ISGs) in the noses of healthy humans.

The findings were published in the journal Proceedings of the National Academy of Sciences.

In what has become a familiar refrain when discussing artificial intelligence (AI)-enabled technologies, voice cloning makes possible beneficial advances in accessibility and creativity while also enabling increasingly sophisticated scams and deepfakes. To combat the potential negative impacts of voice cloning technology, the U.S. Federal Trade Commission (FTC) challenged researchers and technology experts to develop breakthrough ideas on preventing, monitoring and evaluating malicious voice cloning.

Ning Zhang, an assistant professor of computer science and engineering in the McKelvey School of Engineering at Washington University in St. Louis, was one of three winners of the FTC’s Voice Cloning Challenge announced April 8. Zhang explained his winning project, DeFake, which deploys a kind of watermarking for voice recordings. DeFake embeds carefully crafted distortions that are imperceptible to the human ear into recordings, making criminal cloning more difficult by eliminating usable voice samples.

“DeFake uses a technique of adversarial AI that was originally part of the cybercriminals’ toolbox, but now we’re using it to defend against them,” Zhang said. “Voice cloning relies on the use of pre-existing speech samples to clone a voice, which are generally collected from social media and other platforms. By perturbing the recorded audio signal just a little bit, just enough that it still sounds right to human listeners, but it’s completely different to AI, DeFake obstructs cloning by making criminally synthesized speech sound like other voices, not the intended victim.”

Unlike CAR-T-cell therapy, experimental CAR-NK treatments could potentially be used off-the-shelf against many cancers. But finding the right source of NK cells is vital.

Genes inherited from Denisovans, extinct human relatives, may help Papua New Guineans in the lowlands fight off infection, while mutations to red blood cells may help highlanders live at altitude.

Researchers have made a digital map showing a tiny chunk of a human brain in unprecedented detail.

Based on a brain tissue sample that had been surgically removed from a person, the map represents a cubic millimeter of brain—an area about half the size of a grain of rice. But even that tiny segment is overflowing with 1.4 million gigabytes of information—containing about 57,000 cells, 230 millimeters of blood vessels and 150 million synapses, the connections between neurons.

The researchers published their findings in the journal Science on Friday. They have made the data set freely available online and provided tools for analyzing and proofreading it.

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