The European Commission's new White Paper on artificial intelligence (AI) may be the most ambitious yet realistic government strategy for AI we have seen. Aimed at fueling development of an AI ecosystem that fosters innovation and growth for small and medium-sized enterprises (SMEs) while building on traditionally strong European sectors – industrial, transport, agriculture and tourism, for example – the strategy suggests concrete governmental and industry measures for creating a "dynamic data-agile economy" without sacrificing the privacy or personal data of consumers and businesses. That nuance is important, and often lost in global public debates about AI. Cutting-edge AI technology – pursued by Qualcomm through our R&D center in Amsterdam – will allow AI operations to take place on your device, to avoid sending your data to third parties in the cloud and keep it under your control. Privacy guarantees and construction of a technological and data-driven economy are not in a zero-sum equation.

The world is still making sense of technologies such as artificial intelligence (AI) and machine learning – particularly how they fit in with humankind and working culture. Those that know this relationship best are those that work closely with AI technologies as part of their job. DataRobot is one such company born out of the rise of artificial intelligence. The company launched in 2012 and over eight years, it created an enterprise AI platform that enables organisations to understand and leverage AIs for their business needs. DataRobot works closely with partners including enterprise data platform provider Snowflake to help customers use AI to accelerate their data-to-value times.

Considered by some to be the fourth industrial revolution, the capabilities of AI are ever-growing with new personnel, data and financial power pushing it to greater feats each day, week, month and year. With the wealth of data available to us today, the potential of AI is undeniable. With current debates roaring on which sectors will reap the benefits most, including healthcare, finance, education and more, the only certainty is change. In our top cities in AI blog from 2019, we forecasted (with some help from our industry friends), which cities would emerge as tech hubs, so we thought we'd have another go in 2020! Our list, in no particular order, details some of the cities we think will see some great advancements over the next 11 months.

Despite the benefits these technologies brought to businesses – and to workers themselves – the fear of job losses and lack of education around automation has marred the impact of these new innovations in the working world. In 2020, that will all change. A new model of partnership between humans and machines is emerging, focused on the value automation and humans working together can bring: augmented intelligence. In fact, Gartner believes that this will create up to $2.9 trillion of business value and 6.2 billion hours of worker productivity globally by 2021. Businesses who don't take advantage of AI while keeping employee satisfaction front-of-mind are likely to fall far behind in the global race for productivity and business value in uncertain economic times.

It is worth noting that Inspur, a re-elected OSSC member, was also re-elected as the chair of the SPEC Machine Learning (SPEC ML) working group. The development plan of ML test benchmark proposed by Inspur has been approved by members which aims to provide users with standard on evaluating machine learning computing performance. SPEC is a global and authoritative third-party application performance testing organization established in 1988, which aims to establish and maintain a series of performance, function, and energy consumption benchmarks, and provides important reference standards for users to evaluate the performance and energy efficiency of computing systems. The organization consists of 138 well-known technology companies, universities and research institutions in the industry such as Intel, Oracle, NVIDIA, Apple, Microsoft, Inspur, Berkeley, Lawrence Berkeley National Laboratory, etc., and its test standard has become an important indicator for many users to evaluate overall computing performance. The OSSC executive committee is the permanent body of the SPEC OSG (short for Open System Group, the earliest and largest committee established by SPEC) and is responsible for supervising and reviewing the daily work of major technical groups of OSG, major issues, additions and deletions of members, development direction of research and decision of testing standards, etc. Meanwhile, OSSC executive committee uniformly manages the development and maintenance of SPEC CPU, SPEC Power, SPEC Java, SPEC Virt and other benchmarks.

The Department of Computer Science at Aalborg University's Technical Faculty of IT and Design is looking to appoint a number of Assistant Professors (tenure-track) for its new group at the university's Copenhagen Campus, commencing September 1, 2020 or soon thereafter. In 2020, the Department of Computer Science will begin building a new research group at Aalborg University's Copenhagen Campus. The group will be responsible for the newly approved bachelor's and master's educations in "Software" and will over time build its own research profile and capacity. The Copenhagen group will build upon, and contribute to the Department's broad range of synergistic activities within research and education in the general area of computer science, including curiosity-driven research and targeted research in collaboration with industrial partners, as well as traditional university education, with a unique problem- and project-based focus, and continued education and knowledge dissemination. As Assistant Professor in Computer Science at the Copenhagen Campus you are expected to deliver teaching of an international standard on the new Software education commencing in September 2020.

The truth is out there. When I was a kid, my brother and I made a UFO out of paper plates, tin foil and marbles. Then we got on the roof with our spaceship dangling from a fishing line and, using our mom's plastic 110 camera, captured incontrovertible proof that we are not alone in the universe. But when everything went digital, creation and distribution both got easier, faster and more broadly distributed. And artificial intelligence (AI) will take it to a whole new level, enabling anyone to create perfect fakes of difficult-to-fake media, like video and audio.

Computers using artificial intelligence are discovering medicines, designing better golf clubs and creating video games. Patent offices around the world are grappling with the question of who -- if anyone -- owns innovations developed using AI. The answer may upend what's eligible for protection and who profits as AI transforms entire industries. "There are machines right now that are doing far more on their own than to help an engineer or a scientist or an inventor do their jobs," said Andrei Iancu, director of the U.S. Patent and Trademark Office. "We will get to a point where a court or legislature will say the human being is so disengaged, so many levels removed, that the actual human did not contribute to the inventive concept."

Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic classifiers by health-care professionals with no coding--and no deep learning--expertise.

A short film created by the employees of a Swedish company in 1911 was reconsidered by YouTuber named Denis Shiryaev. YouTuber succeeded in turning the short film into 4K 60 fps video with the artificial intelligence work applied to the short film in question. Artificial intelligence technologies are among the most popular initiatives of recent times. Artificial intelligence technologies, which can be used for both good and bad purposes, give life to tens of sectors again. As such, artificial intelligence technologies are closely followed by technology enthusiasts .