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Using deep learning to control the unconsciousness level of patients in an anesthetic state

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In recent years, researchers have been developing machine learning algorithms for an increasingly wide range of purposes. This includes algorithms that can be applied in healthcare settings, for instance helping clinicians to diagnose specific diseases or neuropsychiatric disorders or monitor the health of patients over time. Researchers at Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital have recently carried out a study investigating the possibility of using deep reinforcement learning to control the levels of unconsciousness of patients who require anesthesia for a medical procedure. Their paper, set to be published in the proceedings of the 2020 International Conference on Artificial Intelligence in Medicine, was voted the best paper presented at the conference. "Our lab has made significant progress in understanding how anesthetic medications affect neural activity and now has a multidisciplinary team studying how to accurately determine anesthetic doses from neural recordings," Gabriel Schamberg, one of the researchers who carried out the study, told TechXplore.


Study: MRI with machine learning reveals brain changes from PTSD

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A new machine learning approach added to conventional magnetic resonance imaging can identify the regions of the brain causing dissociative symptoms in people with post-traumatic stress disorder, researchers found in a study published Friday by the American Journal of Psychiatry. Although MRI has long been used to document changes in the brain that occur as a result of a number of neurological conditions, bolstering the approach with machine learning enabled researchers to uncover and measure changes in functional connections between different regions of the brain in women with PTSD. These altered connections correlated with their dissociative symptoms, including memory loss or amnesia, the researchers said. "This new work may help us to establish a new standard of care for traumatized patients with PTSD who struggle with significant symptoms of dissociation," study co-author Dr. Milissa Kaufman, director of the Dissociative Disorders and Trauma Research Program at McLean Hospital, said in a statement. PTSD is a mental health disorder that occurs following trauma -- violent personal assaults, natural or human-caused disasters, accidents and military combat, for example -- according to the National Institute of Mental Health.


Artificial Intelligence revamping exercise routines in the age of COVID-19

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Fitness routines have changed a lot during the pandemic. More people are opting to take their workout outside or choosing an indoor setting with minimal people. Owner of The Exercise Coach in Brookfield Kristine Staral says their business model relies on smart technology that allows individuals to get the optimum workout in the shortest amount of time. "Our focus is on muscle quality over movement quantity- so it's a safe, effective, and efficient workout and by that I mean our clients only need to commit to 2- 20 minute workouts a week. We do use smart technology along with certified coaches," said Staral.


How AI can transform healthcare

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Artificial intelligence is driving changes in almost every industry, healthcare included. The cost of healthcare has been rising rapidly for decades on end. Some studies have concluded that healthcare will account for over 20% of the GDP of the US by 2025. At the same time, healthcare professionals are working hard to treat the increasing number of patients with their high patient care expectations. Artificial intelligence could be the solution that the industry is desperately searching for.


US military is testing wearable devices that detects illnesses TWO days before symptoms arise

Daily Mail - Science & tech

The US military is testing a smart watch and ring system capable of detecting illnesses two days before the wearer develops symptoms. Called Rapid Analysis of Threat Exposure (RATE), the project is using Garmin and Oura devices that have been program with artificial intelligence trained on nearly 250,000 coronavirus cases and other sicknesses. The system notifies the user of an oncoming illness using a scale from one to 100 on how likely it will happen over the next 48 hours. Military officials note that'Within two weeks of us going live we had our first successful COVID-19 detect.' The US military is testing a smart watch and ring system capable of detecting illness two days before the wearer develops symptoms.


Magnetic microbots can hook up brain cells to make a neural network

New Scientist

Tiny robots that can transport individual neurons and connect them to form active neural circuits could help us study brain disorders such as Alzheimer's disease. The robots, which were developed by Hongsoo Choi at the Daegu Gyeongbuk Institute of Science and Technology in South Korea and his colleagues, are 300 micrometres long and 95 micrometre wide. They are made from a polymer coated with nickel and titanium and their movement can be controlled with external magnetic fields.


Here's how League of Legends Esports plans to keep its players safe from covid-19 at Worlds

Washington Post - Technology News

The overarching situation would have figured to make an in-person event for players a near-impossibility. Riot Games, which publishes League of Legends and runs its competitive league, has dealt with its share of challenges over the past nine championship events, but this year will be a totally new frontier, as it has been for other major sports leagues and tournaments such as the NBA, NHL and MLB. China, like many countries, currently has a hodgepodge of pandemic-related travel policies in place as it gradually eases entry restrictions for some foreign nationals. U.S. citizens are still prevented from applying for tourist visas.


How AI can impact and transform business IT operations

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AI can impact and transform business IT operations. The technology has never been more useful as IT teams look to enable mass remote working during the Covid-19 pandemic. Nick McQuire, SVP, Enterprise Research at CCS Insight, explains that "the area of IT Helpdesk support has become a big use case for AI especially in the context of remote IT operations during the pandemic and we have seen the domain become a big focus for the likes of IBM recently with the launch of Watson AIOps, for example." Generally, he points out that AI can help business IT operations quickly diagnose problems and handle support tickets through greater automation. In some cases, "IT is also able to proactively fix problems based on predicting when an issue will arise," McQuire adds. Dr Iain Brown, head of data science at SAS UK & Ireland, says that it is "no understatement to say that AI can revolutionise business IT operations.


Why kids need special protection from AI's influence

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Why kids need special protection from AI's influence Algorithms can change the course of children's lives. Kids are interacting with Alexas that can record their voice data and influence their speech and social development. They're binging videos on TikTok and YouTube pushed to them by recommendation systems that end up shaping their worldviews. Algorithms are also increasingly used to determine what their education is like, whether they'll receive health care, and even whether their parents are deemed fit to care for them. Sometimes this can have devastating effects: this past summer, for example, thousands of students lost their university admissions after algorithms--used in lieu of pandemic-canceled standardized tests--inaccurately predicted their academic performance.


NLP Trends and Use Cases in 2020

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Natural Language Processing (NLP) is one of the most exciting fields of artificial intelligence that enables computers to understand human languages. NLP techniques are constantly evolving and promising applications are increasingly implemented by organizations to solve a wide range of problems. What exactly are companies using NLP for? What are exciting NLP techniques in a practical context and what are the challenges when applying them? We talked to thought leaders applying NLP in different industries about their favorite NLP techniques, the biggest trends, as well as opportunities and challenges of NLP in 2020.