We are the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands: an international community of 50 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has nearly 30 years' experience with research and teaching in the fields of Artificial Intelligence, Computer Science and Mathematics, and we do so in a highly collaborative and cross-disciplinary manner. To strengthen our team, we are looking for a full professor who will work on AI systems that interact intelligently – and in a human-centered and responsible way - with other AI systems, humans, or both. Our department is growing rapidly. This position is one of multiple job openings: you are more than welcome to browse through our other vacancies.

We are the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands: an international community of 50 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has nearly 30 years' experience with research and teaching in the fields of Artificial Intelligence, Computer Science and Mathematics, and we do so in a highly collaborative and cross-disciplinary manner. To strengthen our team, we are looking for a full professor who will work on AI systems that are able to explain the decisions and actions they recommend or take in a human-understandable way. Our department is growing rapidly. This position is one of multiple job openings: you are more than welcome to browse through our other vacancies.

The European Commission and European Investment Fund (EIF) are launching a €2bn fund to invest in fundamental technologies amid fears that the US and China are pulling ahead in areas such as artificial intelligence (AI) and blockchain. The fund is expected to invest around €300-€400m in these areas in 2020, with €100m of that money coming from the EU and EIF and the rest from independent venture capital funds. From 2021 the plan is to scale up the fund to €1bn to €2bn under the InvestEU Programme. This is an attempt to help Europe catch up with investment in the US and China. The EU pulled in a record $34bn in venture capital funding this year, but this is still only half the amount invested in Asian companies and a third of US investment.

The European Commission and European Investment Fund (EIF) are launching a €2bn fund to invest in fundamental technologies amid fears that the US and China are pulling ahead in areas such as artificial intelligence (AI) and blockchain. The fund is expected to invest around €300-€400m in these areas in 2020, with €100m of that money coming from the EU and EIF and the rest from independent venture capital funds. From 2021 the plan is to scale up the fund to €1bn to €2bn under the InvestEU Programme. This is an attempt to help Europe catch up with investment in the US and China. The EU pulled in a record $34bn in venture capital funding this year, but this is still only half the amount invested in Asian companies and a third of US investment.

From pharma to hospitals and beyond, the potential applications in healthcare are promising. Late last year, we spoke for The World Bank about our proprietary AI in healthcare research, and speaking with governments, it's clear that there are hurdles that healthcare companies have to overcome to access data for training AI systems. Broadly, most of the folks that we speak with who are innovating in AI and healthcare are frustrated with how hard it is to streamline the data to make use of it for applications such as diagnosing illnesses.

The success and fast expansion of Amazon Go has led other retailers and venues to seek startup help ... [ ] for their own cashierless checkout-free stores. On Amazon's jobs site, a keyword search query for Amazon Go yielded 3,500 results, seeking to fill positions manning the cashierless stores and looking for a head of marketing for the concept and a wide variety of engineers and program managers. Meanwhile, six months after the first Amazon Go opened in New York in May, six stores are in operation in the city, including four located less than a mile from one another in Midtown Manhattan. Two more are scheduled to open soon in the city. Those job postings and the fact that Amazon Go is cropping up in busy commercial sections of New York are just the latest signal of the Seattle giant's ambition to further expand its Just Walk Out Shopping concept, which features in-house-built computer vision, sensor fusion and deep machine learning technologies similar to those used in self-driving cars.

Swarms of floating robots could help map underground pipe networks and detect leaks and blockages in plumbing. Peter Baltus at Eindhoven University of Technology in the Netherlands and his colleagues have developed golf ball-sized sensors that can collect information as they float through pipes. Each robot contains a microprocessor, sensor, memory boards and a battery. They can be programmed to detect sound, temperature, pressure, acceleration, rotation and magnetic fields. To save power, a sensor can be activated by a sudden change in conditions, such as hissing sounds associated with water escaping, or increased rotation, which could be a sign of turbulent water flow.

Scottish Enterprise, in collaboration with the Scottish Government, calls on innovative organisations to help solve the Climate Emergency by harnessing the power of Artificial Intelligence and Machine Learning. The specific focus of this competition is in the use of AI to enable or significantly enhance products or processes that help to mitigate factors contributing to the climate emergency or to support adaptation to its impact. This 100% funded R&D SBRI project will provide up to 6 contracts of £28,000 over a 10 week period in phase 1 with up to £133,000 available for three successful phase 2 solutions over the following 12 months. They are seeking creative, cutting-edge proposals that can demonstrate the ability to support climate change mitigation and adaption. The competition seeks to encourage wide participation and with minimal prescription of the nature or focus of proposed ideas.

The AMRC is helping lead a revolution in the UK. Inside its glass-walled, state-of-the-art Factory 2050 facility in Sheffield, the centre develops digital-driven solutions that employ AI, Internet of Things (IoT), robotic and other emerging technologies, all with the aim to solve real-world manufacturing problems. Once considered futuristic, these solutions are ready for full scale deployment today, helping UK manufacturers increase their performance while fueling the Fourth Industrial Revolution. "The whole ethos behind the AMRC is to maintain UK competitiveness in global manufacturing," explains Tom Hodgson, Theme Lead, Inspection and AI, AMRC. "We take ideas that come out of the universities, where they've been developed to a prototype level. Then, with our partner companies, we conduct research projects to transition those technologies into production environments."

After a three-year renewal project, Shibuya Parco, an iconic shopping complex in the bustling central Tokyo district, is back in the game. Having been at the vanguard of fashion and youth culture, especially in the 1970s, 1980s and 1990s, the facility, which reopened Friday, largely contributed to shaping the image of Shibuya as a magnet for young people. Since then times have changed, thanks to the rise of online shopping that has threatened many brick-and-mortar stores. The lively district, which is undergoing a yearslong massive redevelopment project, has been transforming itself from a youth hub to a magnet for international visitors. In that sense, the rebirth of Shibuya Parco -- which had been closed since August 2016 -- is seen as a high-profile opportunity to observe whether iconic facilities of its ilk are still capable of piquing consumers' interest.