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Artificial intelligence can speed up the detection of stroke

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Human emotion system laboratory team at the University of Turku and Turku PET Centre, Finland, introduces a fully automated method for acute ischemic lesion segmentation on brain MRIs and shows how artificial intelligence can reduce the work load of radiologists.


Artificial Intelligence-based App uses the human voice to test for Corona Virus - Cybersecurity Insiders

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Noteโ€“ To all those who have lost the hope at the end of Corona Virus spread, here's some good news. Fujifilm's Pharmaceutical branch has started its phase 3 test trials of its Avigan (Favipiravir) drug from Tuesday to those infected with COVID 19 in Japan. It is reported that the drug stands as a one-shot antiviral drug solution against 18 types of flu and might prove effective getting rid of Corona Pandemic from the infected nations. So, the clinical trials made on the infected people in Japan have yielded excellent results and have already clinically proven by experts that it can eradicate the Ebola Virus to the core. Already Fujifilm has ramped its production in March 2020 after it started its trials in November 2019 after seeing the spread of the Wuhan Virus in China.



How Machine Learning Is Revolutionizing the App Industry

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Machine learning (ML), a subset of artificial intelligence, is shaping and facilitating the way we live, work, communicate, and travel. It is influencing our everyday lives and the decisions we make. As per USA Today, nearly 70% of Americans use digital assistants on their mobile phones every day, and the number is on the constant rise. In today's digital world, machine learning or AI is changing the game for app marketers and assisting them in designing feature-packed apps. The rise of ML technology has been revolutionary and will continue to bring various improvements to the app industry.


6 Visions of How Artificial Intelligence will Change Architecture

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In his book "Life 3.0", MIT professor Max Tegmark says "we are all the guardians of the future of life now as we shape the age of AI." Artificial Intelligence remains a Pandora's Box of possibilities, with the potential to enhance the safety, efficiency, and sustainability of cities, or destroy the potential for humans to work, interact, and live a private life. The question of how Artificial Intelligence will impact the cities of the future has also captured the imagination of architects and designers, and formed a central question to the 2019 Shenzhen Biennale, the world's most visited architecture event. As part of the "Eyes of the City" section of the Biennial, curated by Carlo Ratti, designers were asked to put forth their visions and concerns of how artificial intelligence will impact the future of architecture. Below, we have selected six visions, where designers reflect in their own words on aspects from ecology and the environment to social isolation. For further reading on AI and the Shenzhen Biennial, see our interview with Carlo Ratti and Winy Maas on the subject, and visit our dedicated landing page of content here.


Diagnostics, Monitoring, Drug Discovery: How AI Is Fighting COVID-19

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Suki, a startup that makes an AI-powered voice assistant for doctors, received two pieces of news from major clients less than three weeks ago. The first was that they'd need the product to accommodate telemedicine visits. The second was that they'd need autofilled clinical notes to quickly process patients who test positive for COVID-19 -- "Hey, Suki, write up a completed clinical note for COVID-19." The clients sent Suki their requirements and the data they'd gathered so far, and CEO Punit Soni called a meeting with his COO, head of customer success, product lead, sales lead and marketing lead. The meeting lasted 20 minutes.


3 Ways Artificial Intelligence Can Improve Campus Cybersecurity

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While there's no replacement for the human factor in security, universities can benefit from the amplification and efficiency AI brings to cyberdefense.


IoT and AI Aid Critical Event Management to Battle COVID-19, but Deployment could Raise Privacy Concerns

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In coping with an emerging crisis, the need for accurate and actionable information is paramount for effective response โ€“ but there has never before been a scenario like the current COVID-19 pandemic. Responders are looking to new technologies including IoT and AI to help tackle this outbreak, but their deployment may have a far-reaching impact on our privacy. How can these technologies contribute to response, both globally and locally โ€“ and what privacy concerns could they raise, both now and in the months to follow? The evolution of IoT and AI has grown to the point where these technologies can now be called on to make a real contribution to responding to a crisis manifesting both globally and locally. Globally, modern analytics can learn about the factors of spread that can help analysts identify where actions need to be taken.


A.I. Brain Implant Translates Thoughts Into Spoken Words Digital Trends

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Researchers from the University of California, San Francisco, have developed a brain implant which uses deep-learning artificial intelligence to transform thoughts into complete sentences. The technology could one day be used to help restore speech in patients who are unable to speak due to paralysis. "The algorithm is a special kind of artificial neural network, inspired by work in machine translation," Joseph Makin, one of the researchers involved in the project, told Digital Trends. "Their problem, like ours, is to transform a sequence of arbitrary length into a sequence of arbitrary length." The neural net, Makin explained, consists of two stages.


Key Challenges That Healthcare AI Needs to Overcome in 2020 - Dataconomy

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The promise of artificial intelligence (AI) is finally being realized across a wide variety of industries. AI is now viewed as a crucial technology to adopt for enterprises to thrive in today's business environment. Healthcare, in particular, has been one of the industries that AI advocates expect to be revolutionized by AI. Potential use cases paint a clear picture of how healthcare stakeholders stand to benefit from AI in the months ahead. Patient care standards are projected to improve, diagnostic capabilities are expected to expand, and facilities should become far more efficient.