Jan 29 (Reuters) — The first human patient has received an implant from brain-chip startup Neuralink on Sunday and is recovering well, the company’s billionaire founder Elon Musk said.
“Initial results show promising neuron spike detection,” Musk said in a post on the social media platform X on Monday.
Spikes are activity by neurons, which the National Institute of Health describes as cells that use electrical and chemical signals to send information around the brain and to the body.
Year 2017 face_with_colon_three
Tissue Nanotransfection (TNT), that can generate any cell type of interest for treatment within the patient’s own body. This technology may be used to repair injured tissue or restore function of aging tissue, including organs, blood vessels and nerve cells.
“By using our novel nanochip technology, injured or compromised organs can be replaced. We have shown that skin is a fertile land where we can grow the elements of any organ that is declining,” said Dr. Chandan Sen, director of Ohio State’s Center for Regenerative Medicine & Cell Based Therapies, who co-led the study with L. James Lee, professor of chemical and biomolecular engineering with Ohio State’s College of Engineering in collaboration with Ohio State’s Nanoscale Science and Engineering Center.
Researchers studied mice and pigs in these experiments. In the study, researchers were able to reprogram skin cells to become vascular cells in badly injured legs that lacked blood flow. Within one week, active blood vessels appeared in the injured leg, and by the second week, the leg was saved. In lab tests, this technology was also shown to reprogram skin cells in the live body into nerve cells that were injected into brain-injured mice to help them recover from stroke.
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Once students master the basics of math, they are allowed to use calculators. The same should be true of writing and ChatGPT.
Elon Musk’s Neuralink has successfully implanted its brain-computer interface in a human.
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“Not every planet is suitable for direct imaging, but that’s why simulations give us a rough idea of what the ELTs [Extremely Large Telescopes] would have delivered and the promises they’re meant to hold when they are built,” said Huihao Zhang.
What aspects of an exoplanet should astronomers focus on to find signs of extraterrestrial life? Should they focus on the parent star, the exoplanet’s surface, or something else? This is what a recent study published in The Astronomical Journal hopes to address as a team of researchers from The Ohio State University (OSU) discuss how astronomers could use the next generation of telescopes, specifically the James Webb Space Telescope (JWST) and other Extremely Large Telescopes (ELTs), to conduct more in-depth analyses of an exoplanet’s atmosphere, specifically searching for signs of oxygen and methane, as these are present in the Earth’s atmosphere. This study holds the potential to not only establish criteria for searching for signs of extraterrestrial life, but how astronomers can search for this criterion, as well.
For the study, the researchers used computers models to simulate how an exoplanet’s atmosphere on 10 nearby rocky exoplanets could be analyzed for oxygen, water, methane, and carbon dioxide using what’s known as the direct imaging method with ELTs. The direct imaging method is where astronomers blot out the intense glare from the parent star, making exoplanets orbiting it “appear”, making them easier to identify and study. In the end, the researchers found that GJ 887 b (11 light-years away) was the most promising candidate for detecting biosignatures in its atmosphere while Proxima Centauri b (4.4 light-years away) was found to only be detectable for carbon dioxide.
Feng Guo, an associate professor of intelligent systems engineering at the Indiana University Luddy School of Informatics, Computing and Engineering, is addressing the technical limitations of artificial intelligence computing hardware by developing a new hybrid computing system—which has been…
A team of IU bioengineers are building the intersection of brain organoids and artificial intelligence, which could potentially transform the performance and efficiency of advanced AI techniques.
