Over the last decade, artificial intelligence (AI) and machine learning (ML) techniques have developed at an unprecedented pace, and it is now evident that many scientific disciplines can hugely benefit from these developments provided they explore more data centric methodologies. The science community is currently exploring how the new AI and machine learning techniques can be exploited to further enhance our Earth-system prediction capabilities and first results show exciting potential. However, the scope and speed of these AI/ML developments also generate challenges for weather and climate modelling centres such as ECMWF. These challenges regard the necessary knowledge that needs to be established, the software and hardware infrastructures that need to be developed and used, and the integration of machine learning and conventional tools across the entire prediction workflows, which are continuously evolving. It is fundamental that these challenges are addressed and that the weather and climate modelling community and ECMWF's Member and Co-operating States are enabled to make the best possible use of machine learning in the years to come.
The annual CES technology conference closed out at more than 170 mph on Friday with the Indy Autonomous Challenge. The autonomous race car competition came to the Las Vegas Motor Speedway with five teams from seven universities racing self-driving cars for the first place title and $150,000. Team PoliMOVE from Politecnico di Milano in Italy and the University of Alabama beat out Team TUM Autonomous Motorsport from the Technische Universität München in Germany in the final head-to-head race. The race was close with Team TUM spinning out at the end. But TUM couldn't catch up from behind nor keep up with PoliMOVE's record speed of 173 mph.
Almost two centuries after his death, Beethoven's 10th symphony has now been completed - with extra help from Artificial Intelligence (AI). The world premiere was presented last Saturday (9 October) in Bonn, Germany, the birth city of the legendary composer. It took two years for an international team of experts to complete the work. Before his death, Ludwig van Beethoven had started writing the 10th symphony. But only a few notes and musical sketches were left.
The Sustainable AI Lab of the University of Bonn is on a mission at COP26 in Glasgow While there is a growing number of research publications directed towards Artificial Intelligence (AI) for the Sustainable Development Goals, there is little research addressing, the often hidden, environmental costs of AI. The Sustainable AI Lab of the University of Bonn (Germany) addresses this topic and is present at COP26 with a unique artwork to remind people of what nature is doing and that AI is getting in the way of this. The head of the Lab, Prof. Aimee van Wynsberghe, will speak at the conference on November 10th at 11:00. AI and environmental injustice Artificial intelligence (AI) can be an important tool for sustainable development to minimize energy usage in large factories or to predict natural disasters before they happen. However, these uses can also have a downside.
Düsseldorf, September 21, 2021 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today unveiled the R-Car Software Development Kit (SDK), a complete software platform in a single package that enables quicker and easier software development and validation for smart camera and automated driving applications used in passenger, commercial, and off-road vehicles. "Software development and delivery has been a significant pain point for automotive system developers, involving resource-intensive customized packaging and full installations that typically take several days to complete," said Naoki Yoshida, Vice President, Automotive Digital Products Marketing Division at Renesas. "To alleviate these headaches when it comes to deep learning for automotive systems, Renesas is reinventing the developer experience, offering this new single package, multi-OS software platform that is easy for customers to access, learn, use, and install, enabling customers to quick start their deep learning development." Re-inventing SW development for Automotive Applications Automakers are increasingly turning to deep learning as they look for new ways to enable smart camera applications and automated driving systems for next-generation vehicles. However, most deep learning solutions available today are built on consumer or server applications, which do not operate under the same stringent constraints for functional safety, real-time responsiveness, and low power consumption.
Professor Ahmed Elgammal recently published an article over at The Conversation about his work as part of the artificial intelligence startup Playform AI. He and his team have used AI to complete Beethoven's Tenth Symphony, and plan to premiere the work in Bonn, Germany on October 9, 2021. It's an intriguing read -- the AI team worked in collaboration with composers and musicologists, using short notes, sketches, and completed works left by Beethoven to unravel his intent and construct an AI that could emulate his work. Ultimately, they ended up with an AI that was able to fool an audience of journalists and music experts alike. "We challenged the audience to determine where Beethoven's phrases ended and where the AI extrapolation began. A few days later, one of these AI-generated scores was played by a string quartet in a news conference. Only those who intimately knew Beethoven's sketches for the 10th Symphony could determine when the AI-generated parts came in."
A team of researchers used artificial intelligence to complete Beethoven's unfinished Tenth Symphony. Computer scientists, music historians, musicologists, and composers collaborated with the startup Playform AI to apply artificial intelligence (AI) to the task of completing Beethoven's unfinished Tenth Symphony. The researchers taught an AI system Beethoven's entire body of work and his creative process, including the methods he used to develop certain musical forms, how to harmonize a melodic line, how to bridge two sections of music together, how to compose a coda, and how to orchestrate the full composition. Over a period of more than two years, the research team's efforts yielded two movements (symphonies typically include four), each more than 20 minutes long. The release of the full recording of the Tenth Symphony, as well as its world premiere performance in Bonn, Germany, are scheduled for Oct. 9. From Smithsonian View Full Article
Ford is using two robotic test drivers – affectionately named Shelby and Miles – to trial its vehicles in extreme temperatures. The robots are conducting tests in environmental conditions that are too treacherous for any human worker to endure. Shelby and Miles can operate at temperatures ranging from -40 F to 176 F (-40 C to 80 C) as well as at extreme altitudes, Ford says. Their robotic legs extend to the accelerator, brake and clutch pedals, with one arm positioned to change gear and the other used to start and stop the engine. The tests are taking place at Ford's secretive'weather factory' in Cologne, Germany – a building the size of a football pitch that's dedicated to R&D work.
Large space structures, such as telescopes and spacecraft, should ideally be assembled directly in space, as they are difficult or impossible to launch from Earth as a single piece. In several cases, however, assembling these technologies manually in space is either highly expensive or unfeasible. In recent years, roboticists have thus been trying to develop systems that could be used to automatically assemble structures in space. To simplify this assembly process, space structures could have a modular design, which essentially means that they are comprised of different building blocks or modules that can be shifted to create different shapes or forms. Researchers at the German Aerospace Center (DLR) and Technische Universität München (TUM) have recently developed an autonomous planner that could be used to assemble reconfigurable structures directly in space.
Bengaluru: Global professional services company Accenture will acquire umlaut, an engineering consulting and services firm headquartered in Aachen, Germany for an undisclosed amount. The acquisition will scale Accenture's deep engineering capabilities to help companies use digital technologies like cloud, artificial intelligence, and 5G to transform how they design, engineer and manufacture their products as well as embed sustainability. The acquisition of umlaut will add more than 4,200 industry-leading engineers and consultants across 17 countries to Accenture's Industry X services, and expand the company's capabilities across a range of industries, including automotive, aerospace & defense, telecommunications, energy and utilities, Accenture said in a statement. Industry X combines Accenture's powerful data and digital capabilities with deep engineering expertise to offer clients the broadest suite of services for digitizing their engineering functions, factory floors and plant operations, improving productivity, speeding up the transformation of hardware into software-enabled products, and allowing for faster and more flexible product development. "We predicted that digital would ultimately be applied at scale to the core of a company's business - the design, engineering and manufacturing of their products. And, for nearly a decade Accenture has been building the unique capabilities and ecosystem partnerships to combine the power of digital with traditional engineering services," said Julie Sweet, chief executive officer, Accenture.