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Bayesian Statistics for Beginners: a step-by-step approach: Donovan, Therese M., Mickey, Ruth M.: 9780198841302: Amazon.com: Books

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"While reading this book, I joined the authors on a learning endeavor thanks to their honesty and intellectual vulnerability. Their lack of experience with Bayesian statistics helps them to be effective communicators . . . If you are interested in starting your Bayesian journey, then Bayesian Statistics for Beginners is an excellent place to begin." Therese Donovan, Wildlife Biologist, U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, USA,Ruth M. Mickey, Professor Emerita, Department of Mathematics and Statistics, University of Vermont, USA Therese Donovan is a wildlife biologist with the U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit. Based in the Rubenstein School of Environment and Natural Resources at the University of Vermont, Therese teaches graduate courses on ecological modeling and conservation biology.


When BERT Plays The Lottery, All Tickets Are Winning

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Two years after BERT was unveiled to the world, Transformers are still dominating the leaderboards and have spawned numerous follow-up studies. The first version of our attempt to survey BERTology literature (Rogers et al. 2020) provided an overview of about 40 papers in February 2020. By June, there were over a hundred. The final TACL camera-ready version has about 150 BERT-related citations, and no illusions of completeness: we ran out of journal-allotted pages in August 2020. But even with all that research, it is still not clear why BERT works so well.


Automotive Manufacturing and Advanced Artificial Intelligence

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Over the last several weeks, there have been a couple of major announcements from two of the world's largest automotive brands that show how IoT can help them avoid recalls and warranty claims. After conducting several years of its own research and testing, the first came from GM, who announced that it recalls six million vehicles in the U.S. after the National Highway Traffic Safety Administration denied its recall appeal, saying the carmaker had not established the recall was unnecessary. The most recent came from Ford, which announced it took steps to rein in rising warranty costs. Part of the new plan to offset these costs involves the company charging suppliers upfront for half of the cost of warranty-related issues. Second, it's the damage to the OEMs' brands when massive recalls or spikes in warranty claims occur.


Can AI Machine Learning and Genomics Find Alzheimer's Drugs?

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What if a new treatment for Alzheimer's disease exists today among existing U.S. Food and Drug Administration (FDA) approved drugs? A new peer-reviewed study published last week in Nature Communications by researchers at Harvard Medical School and Massachusetts General Hospital shows how an AI machine learning framework combined with genomics can help predict drug repurposing candidates for Alzheimer's disease. There are an estimated 50 million people living with Alzheimer's disease, a neurodegenerative disorder, and other forms of dementia globally according to the World Alzheimer Report 2018. In the United States, 5.8 million people are affected by Alzheimer's disease--two-thirds of whom are women. There are over 16 million people in the U.S. caring for those with Alzheimer's according to an article published today in Time by Maria Shriver, founder of the Women's Alzheimer's Movement, and George Vradenburg, co-founder of UsAgainstAlzheimer's.


Machine Learning 'on the rocks' 🥃

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Apparently, the project's domain relies on the most popular liquor in the world -- Whiskey. A dark spirit coming from a great variety of grains, distilled throughout the world and arriving at quite a number of styles (Irish, Scotch, Bourbon etc) [1]. Scotland, Ireland, Canada & Japan are among the famous exporters and on an international scale, the global production almost reaches the level of $95m revenue [2]. The main scope, hereof, is to introduce in a… 'companionable' way, how helpful can the Clustering Algorithms prove to be, anytime we need to find patterns in a (large) dataset. Actually, it might be considered as a powerful expansion of the standard Exploratory Data Analysis (EDA), which is often very beneficial to try, before using Supervised Machine Learning (ML) models.


AI Ethics in 2021: Top 9 Ethical Dilemmas of AI

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Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or a societal concern but a reputational risk for companies, no company wants to be marred with data or AI ethics scandals that impacted companies like Amazon. For example, there was significant backlash due to the sale of Rekognition to law enforcement. This was followed by Amazon's decision to stop providing this technology to law enforcement for a year since they anticipate the proper legal framework to be in place by then. Al algorithms and training data may contain biases as humans do since those are also generated by humans.


An AI is training counselors to deal with teens in crisis

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Counselors volunteering at the Trevor Project need to be prepared for their first conversation with an LGBTQ teen who may be thinking about suicide. One of the ways they do it is by talking to fictional personas like "Riley," a 16-year-old from North Carolina who is feeling a bit down and depressed. With a team member playing Riley's part, trainees can drill into what's happening: they can uncover that the teen is anxious about coming out to family, recently told friends and it didn't go well, and has experienced suicidal thoughts before, if not at the moment. Now, though, Riley isn't being played by a Trevor Project employee but is instead being powered by AI. Just like the original persona, this version of Riley--trained on thousands of past transcripts of role-plays between counselors and the organization's staff--still needs to be coaxed a bit to open up, laying out a situation that can test what trainees have learned about the best ways to help LGBTQ teens.


TikTok agrees to pay $92 million to settle teen privacy class-action lawsuit

ZDNet

TikTok has agreed to pay a proposed $92 million to settle a class-action lawsuit alleging the company invaded user privacy. The settlement, if approved, would lay to rest claims that the video content-sharing app, owned by Beijing-headquartered ByteDance, wrongfully collected the private and biometric data of users including teenagers and minors. The class-action lawsuit originated from 21 separate class-action lawsuits filed in California and Illinois last year. If accepted, the settlement -- filed in the US District Court for the Northern District of Illinois -- would require the creation of a compensation fund for TikTok users. In addition, TikTok would be required to launch a new "privacy compliance" training program and would need to take further measures to protect user data.


Medical Data and Robotics: Saving Lives, Improving Care

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Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston. The robotic devices he was manipulating were in New York City and San Francisco. The robots successfully performed the procedure, which involves a catheter being used to place a small structure called a stent to open blood vessels in the heart that have been narrowed by plaque buildup, a condition known as atherosclerosis. A year earlier, Dr. Tejas Patel completed the first-in-human remote PCI cases in India, with about 20 miles between the physician and his patients.


TikTok agrees to $92 million settlement in class action privacy lawsuit

Mashable

TikTok's parent company ByteDance has agreed to pay a $92 million settlement in a lawsuit alleging it violated Illinois' biometric privacy laws. The company still disputes the truth of the accusations against them, of course, but right now it just wants to move on from the whole thing. The federal lawsuit combined 21 separate class action suits from across multiple districts into one big Katamari lawsuit, claiming that both TikTok and its predecessor Musical.ly "Specifically, Plaintiffs allege that the TikTok app infiltrates its users' devices and extracts a broad array of private data including biometric data and content that Defendants use to track and profile TikTok users for the purpose of, among other things, ad targeting and profit," reads the settlement agreement filed to the U.S. District Court for the Northern District of Illinois on Thursday. SEE ALSO: TikTok faces scrutiny over minors' user data ... again The complainants also accused TikTok of using the facial recognition technology in its video filters to gather data such as a user's age and ethnicity, and expressed concern about TikTok storing data on servers outside the U.S. TikTok has repeatedly been accused of sharing user data with the Chinese government, or at the very least being a virtual treasure trove of information the government could dip into if it chose.