Pixabay – Martin Büdenbender Researchers from the Eindhoven University of Technology and the Catharina Hospital in Eindhoven have developed a new algorithm for rapid screening of COVID-19. The software is intended for use in Emergency Rooms, to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan for COVID-19 was developed within three months and is already in use by doctors in the Emergency Room (ER) of the Catharina Hospital.
Researchers from the Eindhoven University of Technology and the Catharina Hospital in Eindhoven have developed a new algorithm for rapid screening of COVID-19. The software is intended for use in Emergency Rooms, to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan for COVID-19 was developed within three months and is already in use by doctors in the Emergency Room (ER) of the Catharina Hospital. At the peak of the coronary pandemic, ER doctors at the Catharina Hospital approached the researchers asking whether they knew of any tests for COVID-19 that were faster than the standard PCR test.
Posted by Andrea Skolik, Volkswagen AG and Leiden University In early March, Google released TensorFlow Quantum (TFQ) together with the University of Waterloo and Volkswagen AG. TensorFlow Quantum is a software framework for quantum machine learning (QML) which allows researchers to jointly use functionality from Cirq and TensorFlow.
We've most certainly learnt a thing or two about what makes a thorough and informative salary report since conducting our first salary survey in 2017. Our European Salary Report for 2020 has seen a response of more than one thousand participants which has enabled us to provide a truly data rich and comprehensive insight on what the Data Science market currently looks like. The top countries to provide responses to our survey during 2019 came from Germany, France, Switzerland, The Netherlands and The UK. Much like our 2019 survey, many respondents were Data Scientists, but we've also collected results from Data Engineers, Researchers, Machine Learning Engineers and C-Level professionals. This report covers a broad scope of professions in the European data science market at all levels.
Over the past decade, many organizations have come to recognize that their future success will depend on data and AI (artificial intelligence) capabilities. Expectations are high and companies are heavily investing in the area. However, our experience advising organizations in diverse industries suggests that many have also become disillusioned in their journey to create companywide, data-driven business transformation. This article discusses some of the common pitfalls in the implementation of data and AI strategies and gives recommendations for business leaders on how to successfully include data and AI in their business processes. These recommendations address the core enablers for data and AI capabilities, from setting the ambition level to hiring the right talent and defining the AI organization and operating model. Many companies are currently investing in data and artificial intelligence (AI). Since the terminology varies, the activities may be called AI, advanced analytics, data science, or machine learning, but the goals are the same: to increase revenues and efficiency in current business and to develop new data-enabled offerings. In addition, many companies see an increasing responsibility to contribute their AI expertise toward humanitarian and social matters. It is well understood that to stay competitive in the digital economy, the company's internal processes and products need to be smart--and smartness comes from data and AI. Over the past 4 years, our company DAIN Studios has been involved in more than 40 Data and AI initiatives in different companies and industries in Finland, Germany, Austria, Switzerland, and the Netherlands. Our clients are typically large, publicly listed companies.
When MIT CSAIL PhD student Mark Hamilton saw the "Rembrandt and Velazquez" exhibit in Amsterdam's Rijksmuseum last year, he was surprised to see that some works of art that have no connection on paper, can look eerily similar in reality. The show's curators had paired Francisco de Zurbarán's The Martyrdom of Saint Serapion, a 17th century Spanish religious painting, with Jan Asselijn's The Threatened Swan, a Dutch canvass from a similar age. While the artists never met each other during their lives, the two works show some clear visual resemblance. The researchers were inspired by an unlikely, yet similar pairing: Francisco de Zurbarán's, The Martyrdom of Saint Serapion (left) and Jan Asselijn's The Threatened Swan (right). It got Hamilton thinking about the other hidden links that could be uncovered in the history of art.
A group of U.K. Uber drivers has launched a legal challenge against the company's subsidiary in the Netherlands. The complaints relate to access to personal data and algorithmic accountability. Uber drivers and Uber Eats couriers are being invited to join the challenge, which targets Uber's use of profiling and data-fueled algorithms to manage gig workers in Europe. Platform workers involved in the case are also seeking to exercise a broader suite of data access rights baked into EU data protection law. It looks like a fascinating test of how far existing legal protections wrap around automated decisions at a time when regional lawmakers are busy drawing up a risk-based framework for regulating applications of artificial intelligence. Many uses of AI technology look set to remain subject only to protections baked into the existing General Data Protection Regulation (GDPR).
The European ARTificial Intelligence Lab is a follow-up project of the European Digital Art and Science Network and offers international artists working in the field of AI to win a residency at a scientific partner institution and at the Futurelab of Ars Electronica. In this open call round, artists will have the chance to apply for a residency at Leiden Observatory, the Netherlands. The theme of the residency is Astronomy x AI. The universe is much larger, more diverse, dynamic and enigmatic than our ancestors could have imagined when they first gazed at the stars. The captivating and mysterious nature of that sight makes astronomy so endlessly fascinating.
Uber has been hit with a lawsuit by two British drivers in a bid to reveal how the company's algorithm works. The headquarters for Uber in Europe is in Amsterdam, so the drivers have taken their case to a Dutch court. Uber's drivers want to know what data is being collected about them – and how it's being used. The drivers are concerned that Uber's algorithm isn't entirely neutral in how it decides who to allocate rides to. "They want to prove that Uber is in fact acting as an employer," their lawyer, Anton Ekker, said to Dutch outlet NOS.
Minicab drivers will launch a legal bid to uncover secret computer algorithms used by Uber to manage their work in a test case that could increase transparency for millions of gig economy workers across Europe. Two UK drivers are demanding to see the huge amounts of data the ride-sharing company collects on them and how this is used to exert management control, including through automated decision-making that invisibly shapes their jobs. The case is being brought on Monday by the UK-based App Drivers and Couriers Union in the district court in Amsterdam, where the international headquarters of the $56bn (£44.5bn) The union said transparency was essential in checking if Uber was exercising discrimination or unequal treatment between drivers. It will also allow drivers to organise and build collective bargaining power over terms of work and pay in a way that is currently impossible.