Like many autistic people, Madi Young, a consultant in Seattle, has learned to perform the social behaviors and body language that neurotypical people expect. But masking, as it's called, is hard work and can lead to misunderstandings. So Young was pleased to recently find a conversational partner whom they feel more closely mirrors the way they speak: ChatGPT. "It's not getting the mismatch with my body language--it's only getting my words," says Young, who uses the chatbot for therapeutic conversations and as a "brainstorming buddy" or "friend." Young also uses the chatbot to help them in their work with neurodivergent entrepreneurs and creatives on brand and business strategy.
Fox News medical contributor Dr. Marc Siegel joins'Fox & Friends' to discuss the benefits of artificial intelligence in the medical industry if used with caution. Artificial intelligence is taking on an ever-widening role in the health and wellness space, assisting with everything from cancer detection to medical documentation. Soon, AI could make it easier for dentists to give patients a more natural, functional smile. Researchers from the University of Hong Kong recently developed an AI algorithm that uses 3D machine learning to design personalized dental crowns with a higher degree of accuracy than traditional methods, according to a press release from the university. The AI analyzes data from the teeth adjacent to the crown to ensure a more natural, precise fit than the crowns created using today's methods, the researchers said.
Fox News' Eben Brown reports on how more companies are using A.I. technology to set retail prices based on data-driven supply-and-demand. Oncologists in the U.K. have developed an AI model to help predict whether aggressive forms of breast cancer will spread based on changes in a patient's lymph nodes. The research was published Thursday in the Journal of Pathology by Breast Cancer Now and funded by scientists at King's College of London. Secondary or "metastatic breast cancer" refers to when breast cancer cells spread to other parts of the body. Although treatable, it can't be cured.
A nanoscale robotic hand with four bendable fingers can grasp objects like gold nanoparticles or viruses. Xing Wang at the University of Illinois and his colleagues constructed the nanohand using a method called DNA origami, in which a long, single strand of DNA is "stapled" together by shorter DNA pieces that pair with specific sequences on the longer strand. This method can be used to create complex shapes, from maps of the Americas to spinning nanoturbines. The four fingers of the nanohand are joined to a "palm" to form a cross shape when the hand is open. Each finger is just 71 nanometres long (a nanometre is a billionth of a metre) and has three joints, like a human finger.
If you are willing to lie very still in a giant metal tube for 16 hours and let magnets blast your brain as you listen, rapt, to hit podcasts, a computer just might be able to read your mind. Researchers from the University of Texas at Austin recently trained an AI model to decipher the gist of a limited range of sentences as individuals listened to them--gesturing toward a near future in which artificial intelligence might give us a deeper understanding of the human mind. The program analyzed fMRI scans of people listening to, or even just recalling, sentences from three shows: Modern Love, The Moth Radio Hour, and The Anthropocene Reviewed. Then, it used that brain-imaging data to reconstruct the content of those sentences. For example, when one subject heard "I don't have my driver's license yet," the program deciphered the person's brain scans and returned "She has not even started to learn to drive yet"--not a word-for-word re-creation, but a close approximation of the idea expressed in the original sentence.
Doctors believe Artificial Intelligence is now saving lives, after a major advancement in breast cancer screenings. A.I. is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. Scientists have found a drug that could combat drug-resistant infections – and they did it using artificial intelligence. Using a machine-learning algorithm, researchers at the Massachusetts Institute of Technology (MIT) and Canada's McMaster University have identified a new antibiotic that can kill a type of bacteria responsible for many drug-resistant infections. The compound kills Acinetobacter baumannii, which is a species of bacteria often found in hospitals.
Elizabeth Holmes convinced investors and patients that she had a prototype of a microsampling machine that could run a wide range of relatively accurate tests using a fraction of the volume of blood usually required. She lied; the Edison and miniLab devices didn't work. Worse still, the company was aware they didn't work, but continued to give patients inaccurate information about their health, including telling healthy pregnant women that they were having miscarriages and producing false positives on cancer and HIV screenings. But Holmes, who has to report to prison by May 30, was convicted of defrauding investors; she wasn't convicted of defrauding patients. This is because the principles of ethics for disclosure to investors, and the legal mechanisms used to take action against fraudsters like Holmes, are well developed.
Brain-computer interface company Neuralink announced on 25 May that it has received approval from the US Food and Drug Administration (FDA) for a clinical study in humans. Neuralink made the announcement on Twitter: "We are excited to share that we have received the FDA's approval to launch our first-in-human clinical study." The tweet said that the approval "represents an important first step that will one day allow our technology to help many people". The firm also said that the recruitment is not yet open for the trial, and it has yet to give any further details about what the trial will entail. Neuralink was formed in 2016 by Elon Musk and a group of scientists and engineers with the ultimate aim of making devices that interface with the human brain – both reading information from neurons as well as feeding information directly back into the brain.
Ever year, more than a million people in North America suffer some form of spinal cord injury (SCI), with an annual cost of more than $7 billion to treat and rehabilitate those patients. The medical community has made incredible gains toward mitigating, if not reversing, the effects of paralysis in the last quarter-century including advances in pharmacology, stem cell technologies, neuromodulation, and external prosthetics. Electrical stimulation of the spinal cord has already shown especially promising results in helping spinal injury patients rehabilitate, improving not just extremity function but spasticity, bladder and blood pressure control as well. Now, in a study published in Nature Tuesday, SCI therapy startup Onward Medical, announced that it has helped improve a formerly-paraplegic man's walking gait through the use of an implanted brain computer interface (BCI) and novel "digital bridge" that spans the gap where the spine was severed. We've been zapping paraplegic patients' spines with low-voltage jolts as part of their physical rehabilitation for years in a process known as Functional Electrical Stimulation (FES).
June 2022 Around a year and a half ago, Yann LeCun realized he had it wrong. LeCun, who is chief scientist at Meta's AI lab and a professor at New York University, is one of the most influential AI researchers in the world. He had been trying to give machines a basic grasp of how the world works--a kind of common sense--by training neural networks to predict what was going to happen next in video clips of everyday events. But guessing future frames of a video pixel by pixel was just too complex. Now, after months figuring out what was missing, he has a bold new vision for the next generation of AI, which he thinks will one day give machines the common sense they need to navigate the world.