The online-platform Gruenderszene reports that Munich startup E-bot7 has raised a cool 5.5 million euros in fresh capital to advance and develop its smart customer-service software. The basic idea is to integrate artificial intelligence into companies' existing customer support service, for instance, by suggesting answers to client questions. Founded in 2016, the company presently has 36 employees but plans for expansion are underway. E-bot7 is set to open offices in Paris and London and has its sights set even further from home. "For example, we want our software to be able to understand Asian languages quite soon," says E-bot7 co-founder Fabian Berlinger.

In carrying out these concrete strength tests, BAM Nuttall collaborated with the technology company Converge who, using funding from an Innovate UK grant in 2018, have developed a concrete strength prediction engine using a performance data set. Going into further detail, Converge's prediction engine can calculate the time at which the critical strength will be reached for concrete that has been poured within a matter of hours, with predictions being accurate within a margin of five per cent over or five per cent under the exact time. The calculations that are involved apply machine learning techniques to local weather data, a database of historical concrete curing data, and the Converge concrete monitoring platform's real-time measurements from the concrete pour. Converge state that predictions that can be produced increase productivity on building sites and both they and BAM Nuttall are encouraged by the results at the London City Airport. The Head of Innovation at BAM Nuttall, Colin Evison stated: "This advancement in construction technology is a game changer. The Converge prediction engine gives us insight into material performance we did not think possible. We are delighted to be Converge's industry partner in bringing this exciting new tool to market."

As the digital transformation of businesses and services continues with full force, artificial intelligence (AI) has become somewhat of a buzzword in the technology sector. While it's true that we haven't quite reached the level of technology sophistication often shown off in Hollywood blockbusters, there already are a variety of use cases where machine learning algorithms are being deployed to improve different aspects of our daily lives. Below, we look at four industries that are reaping the rewards of using AI and what this might mean for the future. Healthcare is one of the most promising areas likely to be transformed significantly by AI and machine learning. This is because this technology can quickly go through large amounts of data and find patterns that humans might miss.

Automated manufacturing facilities are full of physical barriers -- guarding and fences -- because of our fears. That is, because of our entirely legitimate fears. Automated systems, industrial robots in particular, are capable of moving fast and unexpectedly, imperiling a human who comes too close. A fence is a reasonable precaution. However, Patrick Sobalvarro points out that fences are far from fully effective as safety measures.

Ludwig van Beethoven's unfinished Tenth Symphony will finally be completed using artificial intelligence to mark the 250th anniversary of his birth next year. A few notes scribbled in his notebook are all the German composer left of his symphony before his death in 1827. Now, a team of musicologists and programmers is racing to complete a version of the piece using sophisticated computer software to predict what Beethoven had planned. Beethoven died leaving just a few notes for his Tenth Symphony. Sophisticated computer software will be used to complete Beethoven's work. Pictured: Lettering in his native city, Bonn, to promote'Beethoven Year' in 2020 to celebrate 250th anniversary of his birth.

Adobe's Emerging Products Group (EPG) is seeking a Computer Scientist with solid C/C programming skills to join our team here at HQ in San Jose, California. Proficiency in Android or IOS development is required to succeed in this position. This is a team that explores big technical challenges and next-generation product opportunities empowered by artificial intelligence (AI), computer vision, computational photography, augment reality (AR) and among other areas. Meanwhile, this team has produced mobile products like Adobe Photoshop Fix & Mix. We are working on new projects that merge digital arts with AI, AR and mobile camera capture.

However, the frequency in which the Canadian government employs AI is worrying for some. Fears of governments using AI to infringe on private freedoms are very real, as some countries, such as China, have begun to use facial recognition software for police surveillance. Furthermore, people are rapidly losing confidence in social media platforms and Internet security, often citing the absence of human intervention in the decisions that algorithms make as the cause. Furthermore, 54% of North Americans express concern for their online privacy, and the non-consensual use of personal data by social media companies and federal governments do little to ease these fears. While more Canadians are more concerned about their online security due to threats posed by internet companies, at least 59% fear for their personal information being used by their own government.

Microsoft has revealed the name for its new games console – Xbox Series X. The machine, previously known by the codename Project Scarlett will launch in "Holiday 2020", and will ship with a redesigned version of the Xbox wireless controller. The new name was announced during the annual Game awards in Los Angeles. At the event, a promotional trailer was shown for Senua's Saga: Hellblade II, a sequel to the critically acclaimed adventure title from UK developer Ninja Theory, which is being designed to leverage the capabilities of the new technology. In a blog post, Xbox chief Phil Spencer introduced the Xbox Series X as "our fastest, most powerful console ever", claiming it will set a new bar for performance and speed.

The motivation behind this project is the need for 3D representation by doctors in Orthodontics to assist diagnosis. However the limit on the amount of dose could be used for pediatric patients inhibit the amount of CT scans could be done. There are other systems on the market such EOS Imaging Flex Dose which is based on an atlas based registration method to reconstruct two 2D x-ray projections into 3D spinal representation. However such system is not only very expensive (selling in USA at $1M for one system) but also produce certain image artifacts due to the atlas is based on normal people. This work is to show the feasibility of deep learning could surpass performance of these other systems and achieve high resolution spinal 3D representations using 2D images.

It can also be stated that we're all the time residing one day. Humans have an enchanting means of ignoring present-day as our long term from five mins or five hundred years prior. Regardless of ways it's spelled out, this long term, the one the place synthetic intelligence making choices impacting human lives--is right here. It turns out like best the day prior to this when Tesla was once rolling out its first Model S and we had been all excited, apprehensive and in doubt without delay. What would this imply for the way forward for the auto?