While consumers trust AI to make vital decisions on the back end in terms of data processing and analysis, they still prefer a human to deliver information to them or to help explain a result. According to our latest Consumer Intelligence Series survey, 77% would prefer to visit a doctor in person than to take an at-home assessment with a robotic smart kit, and only 22% think it's likely that people will turn entirely to an AI assistant versus a human as a doctor. However, executives were less confident about AI's ability to handle HR-related tasks which require a human touch. But when it comes to tasks that require emotional intelligence, they aren't ready to hand over the reins just yet.
In this case, I'm referring to machine learning algorithms that create behavioral profiles of end-users based on their actions in the physical world. Likewise, if the medication adherence app regularly wakes the user from a deep sleep in the morning, the user will likely delete it. Because they know a user's habits, activities, and meaningful locations, they issue "moment-based" notifications. The fact that mobile apps and fitness trackers automatically log people's activities is an important step in engaging people in their own health.
The Sheffield Institute for Translational Neuroscience (SITraN) and AI start-up BenevolentAI have announced a potentially major breakthrough in the treatment of motor neuron disease, thanks to artificial intelligence. The groundbreaking development for the disease, also known as amyotrophic lateral sclerosis (ALS), came about as scientists from SITraN assessed the efficacy of a drug candidate proposed by BenevolentAI's AI technology. The scientists, led by Dr. Richard Mead and Dr. Laura Ferraiuolo, found there are significant and reproducible indications that the drug prevents the death of motor neurones in patient cell models, and delayed the onset of the disease in the gold standard model of ALS. Ken Mulvany, founder and chairman at BenevolentAI, added: "We understand from SITraN their research demonstrates that the hypothesis and drug candidate that our technology identified has delayed the onset of cell death in the gold standard model of ALS.
Will artificial intelligence (AI) replace radiologists? With deep learning, AI can identify patterns across vast datasets of images, with volumes in the petabytes (1 plus 15 zeros), to achieve computer-aided detection and classification of disease. Google's first medical imaging project was a deep learning algorithm to recognize diabetic retinopathy, the fastest growing cause of blindness. Similarly, Justin Ko, MD, medical director and service chief of medical dermatology for Stanford Health Care, spoke about the creation of a deep neural network to analyze and identify precancerous lesions.
SEBASTIAN THRUN, Founder, Google X: Artificial intelligence is to the human brain what the steam engine has been to the human muscle. We text, we make phone calls, we're fatigued, we're sometimes even drunk when driving and all this stuff. My students and I recently did work on artificial intelligence for detecting skin cancer, and we found that if we train an artificial intelligence with about 130,000 images, we can find skin cancer basically using an iPhone as accurately as the best board-certified dermatologist. Why can't we cure heart failure and heart diseases?
Imagine that at some time in the not-too-distant future, you've bought a smartphone that comes bundled with a personal digital assistant (PDA) living in the cloud. One answer comes from those who subscribe to computationalism, the reigning theory of mind in contemporary philosophy, psychology, and neuroscience. The theory identifies five essential properties that are true of every conceivable experience of consciousness: (1) Every experience exists intrinsically (for the subject of that experience, not for an external observer); (2) each experience is structured (it is composed of parts and the relations among them); (3) it is integrated (it cannot be subdivided into independent components); (4) it is definite (it has borders, including some contents and excluding others); and (5) it is specific (every experience is the way it is, and thereby different from trillions of possible others). In essence, this means that the system must be composed of many parts, each having specific causal powers within the overall system (the "information" part of IIT), and yet the system as a whole must not be reducible to those parts (the "integrated" part of IIT), making it far more powerful than the sum of its many parts.
It almost goes without saying that brain surgery requires extreme precision, but there hasn't been much advancement in brain mapping techniques for the past two decades. Researchers may have a better way: they've developed an electrode grid-based brain mapping tool that's both much easier to wield and far more precise. The result is a brain mapping device that fits much more closely to the brain (giving it better readings) and delivers higher resolution in the process. If and when they do, though, the technology could make brain surgery considerably safer.
That's what Michael Skeide of the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, and his colleagues found when they taught a group of illiterate adults in rural India to read and write. Skeide and his colleagues wanted to study how culture changes the brain, so focused on reading and writing. Learning to read also seemed to change brain regions that aren't typically involved in reading, writing or learning. "This clearly shows that reading, which involves important cognitive processes, also involves the development of important sensorimotor skills, namely the need to finely control eye movements to scan the text lines and to [move the eyes] onto most informative parts of text,", says Gianluca Baldassarre of the Institute for Cognitive Sciences and Technologies in Rome, Italy.
Monkey brains have sections dedicated solely to social interactions, a new finding that researchers say could help us better understand the human mind. Scientists scanning the brains of rhesus macaques found that certain parts were active when the monkeys watched videos of social interactions between other monkeys, but that same network was largely inactive in response to other images. With this new research about the social network in rhesus monkey brains, scientists may have found a brain structure of which humans have a more evolved version -- what the study called "an evolutionary forerunner of human mind-reading capabilities." Rhesus monkeys have an entire brain network that is dedicated to social interactions.
Antonio Molins was the VP of Data Science at Miroculus. Miroculus is a life science company that has developed an accurate, easy to use, non-invasive and affordable microRNA detection platform that can radically improve the ability of life science research and healthcare providers to diagnose, treat, and monitor diseases at a molecular level through the examination of microRNA. Jorge Soto is the co-founder and CTO of Miroculus. Your email address will not be published.