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Forthcoming machine learning and AI seminars: June 2022 edition

AIHub

This post contains a list of the AI-related seminars that are scheduled to take place between 13 June 2022 and 31 July 2022. All events detailed here are free and open for anyone to attend virtually. Learning to predict complex outputs: a kernel view Speaker: Florence d'Alché-Buc Organised by: London School of Economics and Political Science Register here. Title to be confirmed Speaker: Miguel Rodrigues (University College London) Organised by: One World Signal Processing To sign up, subscribe to the mailing list here. Title to be confirmed Speaker: Maurice Weiler (University of Amsterdam) Organised by: UCL ELLIS Zoom link is here.


Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow: Audevart, Alexia, Banachewicz, Konrad, Massaron, Luca: 9781800208865: Books: Amazon.com

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Konrad is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world. Konrad worked in a variety of financial institutions on an array of data problems and visited all the stages of a data product cycle: from translating: business requirements ("what do they really need"), through data acquisition ("spreadsheets and flat files? He currently leads a central data science team at Adevinta.


Why Artificial Intelligence Is Set Up To Fail LGBTQ People - AI Summary

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And for LGBTQ people, often marginalised by traditional systems, we need to be wary of how AI could filter us out. Indeed, one expert in the field, anthropologist Mary L. Gray, believes AI will "always fail LGBTQ people." She believes it will be up to us, to forever make sure AI not only reflects us, but the way we want our world to look too. So to understand why AI is, at least currently, set up to fail LGBTQ people, it's essential to take a step back and understand that – like in all things – it sits within a system. In Amsterdam people gathered Sunday night during a rally which was a call-to-action to all to members and allies of the trans, LGBQIA, black and brown resistance, immigrant and social justice movements to stand side by side with trans men, trans women and non-binary & intersex people, and to send a message of resistance and strengthen around the world.


How to Help Save Lives Using AI

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Technological advancements are changing every industry and healthcare is no exception: you can argue that the value of artificial intelligence (AI) is never greater than when it's used to improve patients' conditions and even save lives An example of how AI improves patient care is Amsterdam UMC's partnership with SAS. The project was able to clinically diagnose patients with colorectal liver cancer, the third most common cancer worldwide, using Computer vision and predictive analysis. Previously, this process required manual examination which was time-consuming and subjective to the radiologist. Automating this process has increased accuracy and saved time to ensure patient survival. Whether it's image analysis to detect cancer or other diseases immediately, predicting the number of patients to ensure the right number of doctors and hospital beds are available or using natural language processing (NLP) to understand lengthy patients reports – the potential for technological enhancement in healthcare is colossal.


How AI makes HR a winner - The HR Congress Magazine

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Technology and Artificial Intelligence (AI) have brought in mixed reactions concerning job security and HR as a profession has not been spared. A recent report by the World Economic Forum (WEF) however gives a picture that technology and Artificial Intelligence (AI) will make HR more efficient and effective.1 At the Digital HR Innovation Summit back in 2019 in Amsterdam, we learned that at that time only 6% of companies were actively using AI in HR globally.2 Most of the organizations were at an exploratory stage where they were learning whether AI works for them or not. PWC's recent report confirms, the pandemic has drastically accelerated the digital transformation agenda through the integration of disruptive technologies.


Edge.org

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The conversation is on hold. The Edge community has hit the road... or they're staying home. Preparing for the academic year to begin, wrapping up projects and starting new ones, celebrating with family and friends or contemplating in solitude. After a hiatus, Edge is pleased to revive Summer Postcards: Edgies reporting in from wherever they are and on whatever they're doing, as the dog days wind out and the season comes to a close. As the world slowly returns to a "new normal" with enduring COVID restrictions in the midst of renewed vaccine freedoms, this year's collection is a testament to change (temporary and lasting), a consideration of loss (will travel ever be like it was?), and a celebration of questions (that still need answering). The hammock may be away until next year, but the memories remain. I spent the summer writing and revising the final section of a longish novel I started in 2019. It seems now as though I've been from 1946 to 2021 on my hands and knees. Various lockdowns have been a liberation from obligations and the luggage carousel, and I've never known such sweet and total focus for months on end. We have the luxury of living in the country--no shortage of big skies and moody walks. All our few breaks were in the UK--Scotland, the Lake District, the West country. Even in our remote part of the Lakes, I had to keep on writing--as in photo. The best novel I read this summer was Sandro Veronesi's The Hummingbird. Best non-fiction was Peter Godfrey Smith's Metazoa: Animal Life and the Birth of the Mind. I gave time also to some wonderful novellas--perfect fictional form for you too-busy scientists. IAN MCEWAN is a novelist whose works have earned him worldwide critical acclaim. He is the recipient of the Man Booker Prize for Amsterdam (1998), the National Book Critics' Circle Fiction Award, and the Los Angeles Times Prize for Fiction for Atonement (2003). His most recent novel is Machines Like Me. In 2019, Časlav Brukner and myself were walking on a beach on Lamma Island, near Hong Kong, marvelling together at the astonishing strangeness of quantum phenomena. This summer, the conversation with Časlav has continued on another island, and quite an island: Lesbos, the northern Greek island near the Turkish coast. Lesbos is the place where lyrical poetry was born. Here lived Sappho and Alcaeus.


University of Amsterdam: UvA and Bosch extend collaboration with new research lab – India …

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Delta Lab 2 – the follow-up to the successful collaboration Delta Lab 1 – will focus on the use of artificial intelligence and machine learning …


Artificial intelligence and machine learning show promise in cancer diagnosis and treatment

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Amsterdam, March 1, 2022 – Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have transformed many industries and areas of science. Now, these tools are being applied to address the challenges of cancer biomarker discovery, where the analysis of vast amounts of imaging and molecular data is beyond the ability of traditional statistical analyses and tools. In a special issue of Cancer Biomarkers, researchers propose various approaches and explore some of the unique challenges of using AI, DL, and ML to improve the accuracy and predictive power of biomarkers for cancer and other diseases. "The biomarker field is blessed with a plethora of imaging and molecular-based data, and at the same time, plagued with so much data that no one individual can comprehend it all," explained Guest Editor Karin Rodland, PhD, Pacific Northwest National Laboratory, Richland; and Oregon Health and Science University, Portland, OR, USA. "AI offers a solution to that problem, and it has the potential to uncover novel interactions that more accurately reflect the biology of cancer and other diseases."


Differentiation key for independent Pyramid Analytics

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While many vendors work toward developing an end-to-end business intelligence platform, Pyramid Analytics already has one. And it's that end-to-end platform -- one that enables users to go from data preparation through discovery, modeling and deployment -- that helps the independent vendor differentiate itself from its many larger, more well-financed peers. Pyramid, founded in 2009 and based in Amsterdam, is an analytics vendor with a platform specializing in what it calls decision intelligence. In addition to its home base, it has offices in London; Seattle; Boise, Idaho; and Tel Aviv, Israel. Pyramid, however, is small compared to many of its competitors.


Full Professor in Artificial Intelligence, Auditing - University of Amsterdam, Netherlands, 2022

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You are an internationally recognized researcher in AI / Data Science who has solid knowledge in at least one of the fields of AI, is keen to develop new techniques for the specific domain of auditing and who can build a team bridging the gap between the technical and business disciplines. You will establish a research line in the new and challenging topic of AI and Auditing. This could either lead to automating the auditing process (e.g., through combinations of multiple data sources) or methods for auditing AI algorithms (fairness, accountability, responsibility, ethics). It will connect existing research within the UvA and complement it with new topics at the crossroads of AI and auditing. In addition to a solid funding you will seek extension in its funding to enhance the research line, where given the topic of the position we particularly expect funding from public-private partnerships for example in the form of an Innovation Center for Artificial Intelligence (ICAI) lab.