Thanks to deep learning, the tricky business of making brain atlases just got a lot easier. Brain maps are all the rage these days. From rainbow-colored dots that highlight neurons or gene expression across the brain, to neon "brush strokes" that represent neural connections, every few months seem to welcome a new brain map. Without doubt, these maps are invaluable for connecting the macro (the brain's architecture) to the micro (genetic profiles, protein expression, neural networks) across space and time. Scientists can now compare brain images from their own experiments to a standard resource.
While new technologies continue to transform the healthcare industry in unprecedented ways administrative functions still burden the healthcare industry with 1 in every 3 dollars spent on administration. Olive the company that introduced healthcares first digital employee has joined forces with Clinc another trailblazer in Artificial Intelligence to free up time and resources by adding conversational AI capabilities to its existing technology. The combined offering allows Olives digital healthcare employee to bring hospitals and health systems broader applications across revenue cycle supply chain and other financial and operational departments.
Today, only about 10% of 7B population in the world have access to good healthcare service, and half of the world don't even access to essential health services. Even among the developed countries, healthcare system is under strain, with rising cost and long wait time. To train up enough physicians and care providers for the growing demands within a short period of time is impractical, if not impossible. The solution has to involve technological breakthroughs. And that's where Machine Learning (ML) and Artificial Intelligence (AI) can make a big impact.
A programming technique that works on the same principle as disease-preventing vaccinations could safeguard machine learning systems from malicious cyber-attacks. The technique was developed by the digital specialist arm of Australia's national science agency, the CSIRO, and presented recently at an international conference on machine learning, held in Long Beach, California, US. Machine learning systems, or neural networks, are becoming increasingly prevalent in modern society, where they are pressed into service across a wide range of areas, including traffic management, medical diagnosis, and agriculture. They are also critical components in autonomous vehicles. They operate from an initial training phase, in which they are fed tens of thousands of possible iterations of a given task.
When we began our 14-week tech health sprint in October 2018, we did not realize the profound lessons we would learn in just a few months. Together with federal agencies and private sector organizations, we demonstrated the power of applying artificial intelligence (AI) to open federal data. Through this collaborative process, we showed that federal data can be turned into products for real-world health applications with the potential to help millions of Americans have a better life. Joshua Di Frances, the executive director of the Presidential Innovation Fellows (PIF) program, says that this collaboration across agencies and private companies represents a new way of approaching AI and federal open data. "Through incentivizing links between government and industry via a bidirectional AI ecosystem, we can help promote usable, actionable data that benefits the American people," Di Frances said.
"GOOGLE brain" implants could mean the end of school – as anyone will be able to learn anything instantly, says an artificial intelligence expert. In an interview with the Daily Star, he explained that he has been working on a revolutionary AI to "personalise education" to enable "anyone can learn almost anything, using AI". And he believes that within the next two decades, our heads will be boosted with special implants, so "you won't need to memorise anything". He told the Daily Star that people won't have to bother typing any questions, as any queries will be answered immediately from "an AI implant", which will result in the end of "parrot fashion" learning at schools. The expert, who has racked up more than 20 years of working with start-ups, adds: "Google will be in your head, and that's not far-fetched. It'll be like having a really smart assistant that will almost think like you."
Using A.I., researchers can make better predictions about who is going to get depressed next week, and who is going to try to kill themselves. The Crisis Text Line is a suicide prevention hotline in which people communicate through texting instead of phone calls. Using A.I. technology, the organization has analyzed more than 100 million texts it has received. The idea is to help counselors understand who is really in immediate need of emergency care. You'd think that the people most in danger of harming themselves would be the ones who use words like "suicide" or "die" most often.
An engineer working for Japanese carmaker Nissan has built a robot to help farmers reduce the use of herbicides and pesticides on their rice crops. The compact robot, called Aigamo, is designed to mimic the natural use of ducks that paddle around in flooded paddy fields. Ducks have been used as natural weed repellents for centuries to tear them up and feed on insects, with their manure even acting as an additional fertiliser. As it glides through the water, two mechanisms on the bottom muddy the water to prevent weeds from getting enough sunlight to grow. The technique was used in the late 20th century with live ducks, called'aigamo,' which would paddle the water with the same results and eat any insects they found along the way.
Facebook once teamed up with scientists at Cornell to conduct a now-infamous experiment on emotional contagion. Researchers randomly assigned 700,000 users to see on their News Feeds, for one week, a slight uptick in either positive or negative language or no change at all, to determine whether exposure to certain emotions could, in turn, cause a user to express certain emotions. The answer, as revealed in a 2014 paper, was yes: The emotions we see expressed online can change the emotions that we express, albeit slightly. Conversations about emotional contagion were quickly shelved, however, as the public disclosure of the study sparked an intense backlash against what many perceived to be an unjust and underhanded manipulation of people's feelings. Facebook would later apologize for fiddling with users' emotions and pledge to revise its internal review practices.