Neuralink has announced that the U.S. Food and Drug Administration (FDA) has approved the launch of its first clinical study in humans. "We are excited to share that we have received the FDA's approval to launch our first-in-human clinical study!" Neuralink's official Twitter account wrote on Thursday.(opens in a new tab) "This is the result of incredible work by the Neuralink team in close collaboration with the FDA and represents an important first step that will one day allow our technology to help many people." The neurotechnology company isn't recruiting test subjects just yet, and hasn't released any information on exactly what the clinical trial will involve. Even so, fans of Neuralink founder Elon Musk are already chomping(opens in a new tab) at(opens in a new tab) the(opens in a new tab) bit(opens in a new tab) to implant questionable experimental technology in their grey matter. Neuralink aims to develop implantable devices that will let people control computers with their brain, as well as restore vision or mobility to people with disabilities.

United States regulators have given approval for Elon Musk's start-up Neuralink to test its brain implants on people. Neuralink said on Thursday that it received clearance from the US Food and Drug Administration (FDA) for the first human clinical study of implants which are intended to let the brain interface directly with computers. "We are excited to share that we have received the FDA's approval to launch our first-in-human clinical study," Neuralink said in a post on Twitter – which is owned by Musk. Neuralink prototypes, which are the size of a coin, have so far been implanted in the skulls of monkeys, demonstrations by the startup showed. With the help of a surgical robot, a piece of the skull is replaced with a Neuralink disk, and its wispy wires are strategically inserted into the brain, an early demonstration showed.

Neuralink, Elon Musk's brain-implant company, said on Thursday it had received a green light from the US Food and Drug Administration (FDA) to kickstart its first in-human clinical study, a critical milestone after earlier struggles to gain approval. Musk has predicted on at least four occasions since 2019 that his medical device company would begin human trials for a brain implant to treat severe conditions such as paralysis and blindness. Yet the company, founded in 2016, only sought FDA approval in early 2022 – and the agency rejected the application, seven current and former employees told Reuters in March. The FDA had pointed out several concerns to Neuralink that needed to be addressed before sanctioning human trials, according to the employees. Major issues involved the lithium battery of the device, the possibility of the implant's wires migrating within the brain and the challenge of safely extracting the device without damaging brain tissue.

Artificial general intelligence, the AI with human-like capabilities, could be decades away, said Dr. Michael Capps, CEO of Diveplane Corp. Researchers at a Chinese university last month allegedly handed over control of a satellite to an artificial intelligence (AI) program for 24 hours, showing how far the country will go to find ways to get ahead using AI technology, experts warn. "Many Americans understandably want to hit the pause button on AI development to sort out the risk issues. China, unfortunately, is roaring ahead, as its 24-hour satellite experiment shows," Gordon Chang, a China expert, told Fox News Digital. Researchers at Wuhan University allegedly handed over control of the Qimingxing 1, a small Earth observation satellite, to a ground-based AI program.

Researchers often use simulations when designing new algorithms, since testing ideas in the real world can be both costly and risky. But since it's impossible to capture every detail of a complex system in a simulation, they typically collect a small amount of real data that they replay while simulating the components they want to study. Known as trace-driven simulation (the small pieces of real data are called traces), this method sometimes results in biased outcomes. This means researchers might unknowingly choose an algorithm that is not the best one they evaluated, and which will perform worse on real data than the simulation predicted that it should. MIT researchers have developed a new method that eliminates this source of bias in trace-driven simulation.

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Artificial intelligence is already revolutionizing law enforcement, which has implemented advanced technology in their investigations, but "society has a moral obligation to mitigate the detrimental consequences," a recent study says. AI is in its teenage years, as some experts have said, but law enforcement agencies are already integrating predictive policing, facial recognition and technologies designed to detect gunshots into their investigations, according to a North Carolina State University report published in February. The report was based on 20 semi-structured interviews of law enforcement professionals in North Carolina, and how AI impacts the relationships between communities and police jurisdictions. "We found that study participants were not familiar with AI, or with the limitations of AI technologies," said Jim Brunet, a co-author of the study and director of NC State's Public Safety Leadership Initiative.

I used to fall asleep at night with needles in my face. One needle shallowly planted in the inner corners of each eyebrow, one per temple, one in the middle of each eyebrow above the pupil, a few by my nose and mouth. I'd wake up hours later, the hair-thin, stainless steel pins having been surreptitiously removed by a parent. Sometimes they'd forget about the treatment, and in the morning we'd search my pillow for needles. My very farsighted left eye gradually became only somewhat farsighted, and my mildly nearsighted right eye eventually achieved a perfect score at the optometrist's.

It's probably a good idea to keep your opinions to yourself if your friend gets a terrible new haircut - but soon you might not get a choice. That's because scientists at the University of Texas at Austin have trained an artificial intelligence (AI) to read a person's mind and turn their innermost thoughts into text. Three study participants listened to stories while lying in an MRI machine, while an AI'decoder' analysed their brain activity. They were then asked to read a different story or make up their own, and the decoder could then turn the MRI data into text in real time. The breakthrough raises concerns about'mental privacy' as it could be the first step in being able to eavesdrop on others' thoughts.

Chris Winfield, founder of Understanding A.I., tells'Fox & Friends Weekend' host Will Cain about a study showing patients preferred medical answers from artificial intelligence over doctors. When it comes to answering medical questions, can ChatGPT do a better job than human doctors? It appears to be possible, according to the results of a new study published in JAMA Internal Medicine, led by researchers from the University of California San Diego. The researchers compiled a random sample of nearly 200 medical questions that patients posted on Reddit, a popular social discussion website, for doctors to answer. Next, they entered the questions into ChatGPT (OpenAI's artificial intelligence chatbot) and recorded its response.

Chris Winfield, founder of Understanding A.I., tells Fox & Friends Weekend host Will Cain about a study showing patients preferred medical answers from artificial intelligence over doctors. Patients are becoming more favorable to having artificial intelligence involved in medicine, according to one study from The Journal of American Medicine, showing that nearly 80% of participants preferred a chatbot's medical responses over a conventional doctor's. "They liked the bedside manner of the A.I. doctor, in this case it was ChatGPT, better than the actual doctors themselves, and they actually felt more comfortable with those answers," said Chris Winfield, founder of Understanding A.I. Doctor surgeon and neurologist use robotic and medical technology to diagnose and examine patient brain with intelligence software. Winfield, who appeared Sunday on "Fox & Friends Weekend," said the blind study kept participants in the dark about who – or what – offered advice for their questions to more accurately shirk off potential biases. He added that one of the implications is that people are unhappy with conventional doctors' bedside manner.