If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Imagine a few days before an election, a video of a candidate is released, showing them using hate speech, racial slurs, and epithets that undercut their image as pro minorities. Imagine a teenager watching embarrassingly an explicit video of themselves going viral on social media. Imagine a CEO on the road to raise money when an audio clip stating her fears and anxieties about the product is sent to the investors, ruining her chances of success. All the above scenarios are fake, made up, and not actual, but can be made real by AI-generated synthetic media, also called deepfakes. The same technology that can enable a mother, losing her voice to Lou Gehrig's disease to talk to her family using a synthetic voice can also be used to generate a political candidate's fake speech to damage their reputation.
AI can now accurately predict death, but is that a prediction we want to hear? In almost every industry, artificial intelligence (AI) is on the fast track to outpacing human endeavor. Machine learning technologies are already better than the average person at gaming, creating content and even building AI, and it appears they are only going from strength to strength. As a result of their developing intelligence, the most common question AI critics have been asking is whether it's ethical to be putting ourselves out of a job. YouTube video essayist CGP Grey put it best when he said that, by investing in AI development, we are steaming ahead towards a market in which "humans need not apply" without adequately preparing the population for that scenario.
A novel precision medicine approach enhanced by artificial intelligence (AI) has laid the groundwork for what could be the first biomedical screening and intervention tool for a subtype of autism, reports a new study from Northwestern University, Ben Gurion University, Harvard University and the Massachusetts Institute of Technology. The approach is believed to be the first of its kind in precision medicine. "Previously, autism subtypes have been defined based on symptoms only – autistic disorder, Asperger syndrome, etc. – and they can be hard to differentiate as it is really a spectrum of symptoms," said study co-first author Dr. Yuan Luo, associate professor of preventive medicine: health and biomedical informatics at the Northwestern University Feinberg School of Medicine. "The autism subtype characterized by abnormal levels identified in this study is the first multidimensional evidenced-based subtype that has distinct molecular features and a testable mechanism for intervention." Luo is also chief AI officer at the Northwestern University Clinical and Translational Sciences Institute and the Institute of Augmented Intelligence in Medicine as well as a member of the McCormick School of Engineering.
Jhansi: A team of five students led by a boy from Jhansi won one of the competitions in the Smart India Hackathon on Tuesday. The team was awarded with a cash prize of Rs one lakh. He and his team developed a mobile application which can help an Alzheimer's patient detect the severity of the disease through artificial intelligence. The reports produced by the application can be analysed by doctors. Alzheimer's disease is a type of dementia that affects one's memory, thinking and behaviour.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Physically taxing jobs can hinder one's cognitive health, potentially causing a person's brain to age faster and leave them with a poorer memory as they grow older, a new study suggests. In a study published in the Frontiers in Human Neuroscience in July, researchers surveyed nearly 100 cognitively healthy older adults between ages 60 and 80 years old in order to better understand how stress plays a role in how the human brain ages. Their analysis indicated that adults who reported having higher levels of physical stress in their most recent job were also people who had a smaller hippocampal volume and poorer memory performance. The hippocampus is commonly associated with memory.
Brain-computer interfaces are seeing massive AI breakthroughs including neural bridges being built for learning, treatment of specific diseases and overcoming the electrical-to-biochemical language barrier. These trends are what will optimise the information bandwidth that comes with neuroscience technology. "A monkey has been able to control a computer with its brain." That almost unimaginable yet remarkably accurate observation was made by Elon Musk, author and CEO of Tesla. In his presentation, Musk switched between varying forms of "what is" to "what could be", before announcing the details surrounding Tesla Energy.
PHILADELPHIA - To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study published Tuesday in the journal Scientific Reports, led by senior author Spyridon Bakas, PhD, an instructor of Radiology and Pathology & Laboratory Medicine in the Perelman School of Medicine at the University of Pennsylvania. Federated learning -- an approach first implemented by Google for keyboards' autocorrect functionality -- trains an algorithm across multiple decentralized devices or servers holding local data samples, without exchanging them. While the approach could potentially be used to answer many different medical questions, Penn Medicine researchers have shown that federated learning is successful specifically in the context of brain imaging, by being able to analyze magnetic resonance imaging (MRI) scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Elon Musk plans to link human brains to computers using tiny implants, but a new report warns the implants could leave us vulnerable to hackers. Speaking with Zdnet, Experts said cybercriminals can access these brain-computer interfaces (BCIs) to erase your skills and read thoughts or memories – a breach worse than any other system. To make the technology secure, systems need to'ensure that no unauthorized person can modify their functionality.' This could mean using similar security protocols found in smartphones such as encryption to antivirus software. Musk has been working on his startup Neuralink since 2016, which he says will one-day human brains to computers in order to avoid our species from being outpaced by artificial intelligence.
The team has been focusing on improving a brain-computer interface, a device implanted beneath the skull on the surface of a patient's brain. This implant connects the human nervous system to an electronic device that might, for instance, help restore some motor control to a person with a spinal cord injury, or someone with a neurological condition like amyotrophic lateral sclerosis, also called Lou Gehrig's disease. The current generation of these devices record enormous amounts of neural activity, then transmit these brain signals through wires to a computer. But when researchers have tried to create wireless brain-computer interfaces to do this, it took so much power to transmit the data that the devices would generate too much heat to be safe for the patient. Now, a team led by electrical engineers and neuroscientists Krishna Shenoy, PhD, and Boris Murmann, PhD, and neurosurgeon and neuroscientist Jaimie Henderson, MD, have shown how it would be possible to create a wireless device, capable of gathering and transmitting accurate neural signals, but using a tenth of the power required by current wire-enabled systems.
Ayn serves as AI Analyst at Emerj - covering artificial intelligence use-cases and trends across industries. She previously held various roles at Accenture. Several factors have contributed to the advancement of AI in the pharmaceutical industry. These factors include the increase in the size of and the greater variety of types of biomedical datasets, as a result of the increased usage of electronic health records. This article intends to provide business leaders in the pharmacy space with an idea of what they can currently expect from Ai in their industry.