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Why Didn't You Stop the Pandemic, Artificial Intelligence?

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Works on the use of algorithms, based on artificial intelligence, has been predicting the possibility of a pandemic for many years, whilst models developed by researchers have been used effectively in the fight against infectious diseases, thus limiting their development. An example of such activity are the achievements of AIME company (Artificial Intelligence and Medical Epidemiology), which since 2012 has been conducting research on the possibilities of using AI to predict the course of infectious disease epidemics. In 2017, the models, trained on a huge amount of data, reached 86% effectiveness in predicting the locations where the Zika and dengue virus outbreaks occurred within the following three months. Bill Gates TED Talk in 2015 is known primarily among people who consider the COVID-19 a global conspiracy. In fact, it is impossible not to notice similarities between the course of the current epidemic and the hypothetical super-virus pandemic described by Gates in his speech.


Humanizing AI: How to Close the Trust Gap in Healthcare - InformationWeek

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Physician turnover in the United States, due to burnout and related factors, was conservatively estimated to cost the US healthcare system some $4.6 billion annually, according to a 2019 Annals of Internal Medicine study. The results reflect a familiar dynamic, where too many doctors are crushed in paperwork, which takes time away from being with patients. Just five months after this study was publicized, Harvard Business Review published "How AI in the Exam Room Could Reduce Physician Burnout," examining multiple artificial intelligence initiatives that may streamline providers' administrative tasks, thus reducing burnout. Still, barriers to trust in AI solutions remain, highlighted by 2020 KPMG International survey findings that note only 35% of leaders have a high degree of trust in data analytics powered by AI within their own organizations. This lack of confidence even in their own AI-driven solutions underscores the significant trust gap that exists between decision-makers and technology in the current digital era.


Global Big Data Conference

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As the 21st century rages on, success and failure of nations depends not only on their citizenry and governmental leadership, but heavily on the technological visions that countries embrace. If a nation takes the approach of sitting back or standing still as automation and Artificial Intelligence advance at ever increasing rates, that nation is destined to be left behind. However, if a country embraces AI and dedicates significant resources and top minds to ethical implementation, that country is destined to be a leader for decades to come. Recently Steve Mills, Chief AI Ethics Officer & Leader for Artificial Intelligence in the Public Sector, and Partner at Boston Consulting Group said quite eloquently "AI has become table stages for global national economic and technological competitiveness. This goes beyond nations capturing a piece of the large and rapidly growing AI market. AI is poised to transform nearly every industry. There is an imperative for nations to position themselves to integrate AI into these sectors. Particularly those sectors that are economically important to them. Failing to do so could erode their competitive position, creating opportunities for other, more technologically advanced nations to fill the void. This is not just a matter of missed upside potential from the new AI market. It's also about downside risk for every other sector that is economically important to a nation."


Lincoln Laboratory establishes Biotechnology and Human Systems Division

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MIT Lincoln Laboratory has established a new research and development division, the Biotechnology and Human Systems Division. The division will address emerging threats to both national security and humanity. Research and development will encompass advanced technologies and systems for improving chemical and biological defense, human health and performance, and global resilience to climate change, conflict, and disasters. "We strongly believe that research and development in biology, biomedical systems, biological defense, and human systems is a critically important part of national and global security. The new division will focus on improving human conditions on many fronts," says Eric Evans, Lincoln Laboratory director.


The 7 Most Promising Government Led AI Solutions

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As the 21st century rages on, success and failure of nations depends not only on their citizenry and governmental leadership, but heavily on the technological visions that countries embrace. If a nation takes the approach of sitting back or standing still as automation and Artificial Intelligence advance at ever increasing rates, that nation is destined to be left behind. However, if a country embraces AI and dedicates significant resources and top minds to ethical implementation, that country is destined to be a leader for decades to come. Recently Steve Mills, Chief AI Ethics Officer & Leader for Artificial Intelligence in the Public Sector, and Partner at Boston Consulting Group said quite eloquently "AI has become table stages for global national economic and technological competitiveness. This goes beyond nations capturing a piece of the large and rapidly growing AI market. AI is poised to transform nearly every industry. There is an imperative for nations to position themselves to integrate AI into these sectors. Particularly those sectors that are economically important to them. Failing to do so could erode their competitive position, creating opportunities for other, more technologically advanced nations to fill the void. This is not just a matter of missed upside potential from the new AI market. It's also about downside risk for every other sector that is economically important to a nation."


Congress Is Eyeing Face Recognition, and Companies Want a Say

WIRED

Microsoft and IBM sent congratulatory public messages to president-elect Joe Biden this month. Both expressed hope that his administration would ease the nation's political divisions, and suggested it consider crafting the first federal rules governing face recognition. "When it comes to issues such as safeguards for facial recognition, we have no national law at all," Microsoft president Brad Smith wrote. "We need new laws fit for the future." IBM CEO Arvind Krishna told Biden his company was "ready to work with you" on prohibiting use of the technology for "mass surveillance, racial profiling, or violations of basic human rights and freedoms."


AI Weekly: AI-driven optimism about the pandemic's end is a health hazard

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As the pandemic reaches new heights, with nearly 12 million cases and 260,000 deaths recorded in the U.S. to date, a glimmer of hope is on the horizon. Moderna and pharmaceutical giant Pfizer, which are developing vaccines to fight the virus, have released preliminary data suggesting their vaccines are around 95% effective. Manufacturing and distribution is expected to ramp up as soon as the companies seek and receive approval from the U.S. Food and Drug Administration. Representatives from Moderna and Pfizer say the first doses could be available as early as December. But even if the majority of Americans agree to vaccination, the pandemic won't come to a sudden end.


What is Artificial Intelligence? It's Applications and Importance

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The term artificial intelligence was initially revealed in 1956, yet AI has become more mainstream today on account of expanded data volumes, progressed algorithms, and enhancements in computing power and storage. During the 1960s, the US Department of Defense checked out this kind of work and started training computers to emulate fundamental human reasoning. For instance, the Defense Advanced Research Projects Agency (DARPA) finished road planning projects during the 1970s. What's more, DARPA created intelligent personal assistants in 2003, some time before Siri, Alexa or Cortana were easily recognized names. Artificial intelligence (AI), is the capacity of a digital computer or computer-controlled robot to perform activities usually connected with smart creatures.


What is Artificial Intelligence? It's Applications and Importance

#artificialintelligence

BEGIN ARTICLE PREVIEW: The term artificial intelligence was initially revealed in 1956, yet AI has become more mainstream today on account of expanded data volumes, progressed algorithms, and enhancements in computing power and storage. Early AI research during the 1950s explored themes like problem solving and symbolic methods. During the 1960s, the US Department of Defense checked out this kind of work and started training computers to emulate fundamental human reasoning. For instance, the Defense Advanced Research Projects Agency (DARPA) finished road planning projects during the 1970s. What’s more, DARPA created intelligent personal assistants in 2003, some time before Siri, Alexa or Cortana were easily recognized names. What is Artificial


When AI sees a man, it thinks "official." A woman? "Smile"

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Turns out, computers do too. When US and European researchers fed pictures of members of Congress to Google's cloud image recognition service, the service applied three times as many annotations related to physical appearance to photos of women as it did to men. The top labels applied to men were "official" and "businessperson"; for women they were "smile" and "chin." The researchers administered their machine vision test to Google's artificial intelligence image service and those of rivals Amazon and Microsoft. Crowdworkers were paid to review the annotations those services applied to official photos of lawmakers and images those lawmakers tweeted.