Health & Medicine


A critique of pure learning and what artificial neural networks can learn from animal brains

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Not long after the invention of computers in the 1940s, expectations were high. Many believed that computers would soon achieve or surpass human-level intelligence. Herbert Simon, a pioneer of artificial intelligence (AI), famously predicted in 1965 that "machines will be capable, within twenty years, of doing any work a man can do"--to achieve general AI. Of course, these predictions turned out to be wildly off the mark. In the tech world today, optimism is high again.


INSIGHT: AI in Health Care--A Look at Critical Data Regulations

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Artificial intelligence tools permeate the health care landscape, even though many health care practitioners don't realize that they're leveraging such tools in their everyday practice. The American Medical Association, in a report from its 2018 Annual Meeting, described AI as: "a host of computational methods that produce systems that perform tasks normally requiring human intelligence. These computational methods include, but are not limited to, machine image recognition, natural language processing, and machine learning." The AMA emphasized in its report, however, that another term used in the health care setting with regard to AI is "augmented intelligence," given that AI generally is designed to "enhance the capabilities of human clinical decision making," particularly in the health care industry. In other words, AI is a tool that, at its best, helps humans make better decisions, and complete tasks more efficiently and effectively.



Artificial Intelligence (AI) Stats News: 50% Of Americans Optimistic And 50% Fearful About AI

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The recent surveys, studies, forecasts and other quantitative assessments of the health and progress of AI found that Americans are evenly divided over its promise or peril while not entirely sure what it is; that they are increasingly unhappy with technology companies that develop AI; that psychiatrists don't see AI replacing them but ad copywriters may want to consider other vocations; that the data that feeds and nourish AI keeps getting into the wrong hands; and that AI may assist radiologists, cardiologists, and fast-food chains. Glass half full? 50% of American consumers feel "optimistic and informed" about AI while the other half feel "fearful and uninformed" about AI [Blumberg Capital surveys of 1,000 U.S. consumers aged 18 ] Do you trust AI? 67% of Americans believe that self-driving cars will be safer than human-operated cars; 44% say that if a self-driving Uber car picked them up, they would get in; 87% say a licensed driver should be behind the wheel ready to take control if needed; 35% say they would never drive in a self-driving car [DriversED.com Do you trust the companies that develop AI? Only 50% of Americans believe technology companies have a positive impact on their country, down from 71% four years ago. Negative views of technology companies' impact on the U.S. have nearly doubled during this period, from 17% to 33% [Pew Research Center phone survey of 1,502 adults July 2019] AI may not replace psychiatrists: Only 3.8% of 791 psychiatrists surveyed in 22 countries felt that AI/ML was likely to replace a human clinician for providing empathetic care; documenting (e.g.


As homomorphic encryption gains steam, experts search for standards - CyberScoop

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Encryption has always been a battle line in cyberspace. Attackers try to break it; defenders reinforce it. The next front in that struggle is something known as homomorphic encryption, which scrambles data not just when it is at rest or in transit, but when it is being used. The idea is to not have to decrypt sensitive financial or healthcare data, for example, in order to run computations with it. Defenders are trying to get ahead of attackers by locking down data wherever it lies.


Microsoft Research launches a center for creating projects that can have real-world societal impact

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Microsoft Research India has announced the launch of a center for Societal impact through Cloud and Artificial Intelligence (SCAI). Part of the Microsoft Research (MSR) Lab in Bengaluru, SCAI will focus on creating and nurturing projects and transitioning them from lab to scale for real-world impact. "There are so many opportunities to leverage recent advances in cloud computing and AI technologies to address long-term societal challenges spanning multiple sectors and realms, including health and wellness, education, transportation, and agriculture," said Eric Horvitz, Technical Fellow and Director at Microsoft Research. SCAI will engage with NGOs, academicians, and startups through external collaborations; graduate and undergraduate students through the SCAI Fellow program in collaboration; and actively seek collaborators through calls for proposals. To start with, Microsoft is currently working with four organizations – Respirer Living Sciences for a project focusing on urban air pollution, NIMHANS for a project on mental health, Pratham Books for assisted translation system which enables children to read storybooks in multiple languages, and Voicedeck Technologies for Learn2Earn, a program which reinforces education and rewards learning through financial incentives.


Explainability of Missing Data Replacements

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Keeping information about the missingness might be sometimes useful for the ML model. It can also make the model more explainable. Imagine a dataset with information about hospital patients, who were tested for an occurrence of a certain disease. Patient 3 wasn't diagnosed as sick. The missingness here has a meaning: Patient is not sick so other measurements are missing.


AI in Personal Coaching Increasingly Becoming Popular in Various Segments

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Coaching is an important aspect of our daily lives as it helps in offering guidance and support to individuals. Coaches can engage clients online through video calls in micro-learning sessions and gamification which is effective and offers clients adequate content. Artificial Intelligence coaching works the same way as a traditional coach will have because kit can help with information and guidance that you are seeking and setting clear and convincing targets. It can also help one in the development of action plans and offer support in taking action as well as holding one accountable. AI coaching may appear like a futuristic thing but the reality is it is here as the AI technology continues to mature it seems like everything be possible.


Consciousness And The Inter Mind

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We Do Not See Objects We Detect Objects. 10 Arguments For The Conscious Mind. 4 Arguments For The Inter Mind. What Is And Where Is Conscious Space. 10 Developing An Artificial Inter Mind. 10 Conscious Artificial Intelligence Using The Inter Mind Model. 10 Human Consciousness Transfer Using The Inter Mind Model. 10 Reality Is A Simulation Using The Inter Mind Model. 10 If A Tree Falls In A Forest Using The Inter Mind Model. 10 The Big Bang happens and a new Universe is created. This Universe consists of Matter, Energy, and Space. After billions of years of complicated interactions and processes the Matter, Energy, and Space produce a planet with Conscious Life Forms (CLFs). In the course of their evolution the CLFs will need to See each other in order to live and interact with each other. But what does it really mean to See? A CLF is first of all a Physical Thing. There is no magic power that just lets a CLF See another CLF.


Accelerate AI West 2019 Open Data Science Conference

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AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.