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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.


Article - RSNA 20: AI-Based Eye Exam Could Aid Early Parkinson's Disease Diagnosis

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A simple eye exam combined with powerful artificial intelligence (AI) machine learning technology could provide early detection of Parkinson's disease, according to research being presented at the annual meeting of the Radiological Society of North America (RSNA). Parkinson's disease is a progressive disorder of the central nervous system that affects millions of people worldwide. Diagnosis is typically based on symptoms like tremors, muscle stiffness and impaired balance--an approach that has significant limitations. "The issue with that method is that patients usually develop symptoms only after prolonged progression with significant injury to dopamine brain neurons," said study lead author Maximillian Diaz, a biomedical engineering Ph.D. student at the University of Florida in Gainesville, Florida. "This means that we are diagnosing patients late in the disease process." Disease progression is characterized by nerve cell decay that thins the walls of the retina, the layer of tissue that lines the back of the eyeball.


What's on TV this week: 'Saved by the Bell'

Engadget

This week we'll celebrate Thanksgiving in the US, and nostalgia will be all over TV screens and Peacock resurrects Saved by the Bell with a cast that includes new younger actors and several of the stars from the original show. Other throwbacks include Mad Max on Ultra HD Blu-ray and a Buck Rogers box set, but for something newer you can check out Peninsula, a sequel to the excellent Korean zombie movie Train to Busan as it arrives on Ultra HD Blu-ray. Netflix's latest feature film is Mosul, along with its Hillbilly Elegy movie. Criterion is also releasing a special edition of Netflix's Martin Scorsese feature The Irishman, however it's sadly only available in 1080p Blu-ray without the benefit of 4K and Dolby Vision HDR. For an all-new option, try Superintelligence on HBO Max, where Melissa McCarthy stars as a woman chosen by an all-powerful AI for surveillance via her various connected devices.


Robotic Plasma Cutting in a 3D World

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BEGIN ARTICLE PREVIEW: The three-dimensional world stretches even advanced industrial technology to its limits and poses new challenges for programming massively flexible robots. Undeterred in the face of challenge, ARC Specialties designed and built a turnkey solution for 3D robotic plasma cutting with the help of essential offline programming tools. With the right partners by your side, no challenge is too steep. Automating plasma cutting in three-dimensional space requires everyone involved to be at the top of their game. Programming a robot to maneuver the plasma torch at different angles and speeds, to create steady curves and smooth bevels, in three dimensions simultaneously is a tall order. ARC Specialties, Inc., thrives on solving problems. Leveraging nearly 40 years of metal joining and cutting experience, the Houston, Texas-based automation integrator has built machines for the consumer, oil and gas, defense and research industries in o


Artificial Intelligence Usage on the Rise

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Machine learning and artificial intelligence (AI) have captured our imaginations for decades, but until more recently, had limited practical application. Steven Kemler, an entrepreneurial business leader and Managing Director of the Stone Arch Group, says that with recent increases in available data and computing power, AI already impacts our lives on many levels and that going forward, self-teaching algorithms will play an increasingly important role in both in society and in business. In 1997, Deep Blue, developed by IBM, became the first computer / artificial intelligence system to beat a current world chess champion (Gary Kasparov), significantly elevating interest in the practical applications of AI. These practical uses still took years to develop, with the worldwide market for AI technology not reaching $10 billion until 2016. Since then, AI market growth has accelerated significantly, reaching $50 billion in 2020 and expected to exceed $100 billion by 2024, according to the Wall Street Journal.


Artificial Intelligence and Ethics - The SAS AI ethics primer

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SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW . The Canadian subsidiary of SAS has been in operation since 1988. Headquartered in Toronto, SAS employs more than 300 people across the country at its Vancouver, Calgary, Toronto, Ottawa, Quebec City and Montréal offices.


Building Fair Machine Learning: Interview the Co-Founders of Fairly AI

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David Van Bruwaene and Fion Lee-Madan are the co-founders of Fairly AI, a Waterloo-Toronto Founder Institute portfolio company. Fairly AI is a tool for organizations to audit their artificial intelligence (AI) systems from across all business units, to eliminate bias, protect privacy, and ensure transparency of automated decisions. Research into fairness in machine learning is a topic becoming of increasingly greater interest to laypeople and non-technologists, because the implications that "biased" artificial intelligence can have on society are enormous. For example, if industries like housing, lending, education, or human resources that utilize AI in their decision-making - based on historical data that included variables such as gender, ethnicity, or disability - the AI may learn to replicate that input data's statistical regularities. If there was a pattern of discrimination in the "input data," then there will likely be a discriminatory pattern in the "output" data, resulting in machine learning that is not'fair.'


Biden names John Kerry climate czar, in a recommitment to global cooperation

MIT Technology Review

President-elect Joe Biden named John Kerry to the newly created role of climate czar, a move that underscores the incoming administration's commitment to an international-focused approach to the issue and recognition of its strategic importance. Kerry, the former secretary of state, is a diplomatic heavyweight who helped piece together the landmark Paris climate agreement during the Obama administration and pushed hard for domestic climate policies as a US senator. "I've asked him to return to government to get America back on track to address one of the most urgent national security threats we face--the climate crisis," Biden said in a statement released on Monday. "This role is the first of its kind: the first cabinet-level climate position, and the first time climate change has had a seat at the table on the National Security Council." Kerry's appointment as "special presidential envoy for climate" is among the first of six cabinet-level nominations that the Biden team announced on Monday, as it works to form a government in spite of President Donald Trump's refusal to accept the results of the election.


Kea raises $10M to build AI that helps restaurants answer the phone – TechCrunch

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Kea is a new startup giving restaurants an opportunity to upgrade one of the more old-fashioned ways that they take orders -- over the phone. Today, Kea is announcing that it has raised a $10 million Series A led by Marbruck, with participation from Streamlined Ventures, Xfund, Heartland Ventures, DEEPCORE, Barrel Ventures and AVG Funds, as well as angel investors Raj Kapoor (chief strategy officer at Lyft), Craig Flom (who was on the founding team at Panera Bread), Wingstop franchisee Tony Lam and Five Guys franchisee Jonathan Kelly. Founder and CEO Adam Ahmad said that with restaurants perpetually understaffed, they usually don't have someone who can devote their attention to answering the phone. At the same time, he suggested it remains an important ordering channel -- especially during the pandemic, as takeout and delivery has become the biggest source of revenue for many restaurants. The New Yorker's Helen Rosner put it succinctly when she suggested that anyone who wants to support restaurants should "pick up the damn phone." Similarly, Ahmad said that for restaurants, paying substantial third-party ordering fees on all of their orders is "not a sustainable long-term strategy."


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.