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Retro electric VW camper van in the works

FOX News

Head designer Klaus Bischoff explains why VW's futuristic self-driving electric van has a retro look The VW Type 2 Westfalia is an iconic camper van. Volkswagen has confirmed plans to build a new model called the ID.California, suggesting a battery-powered camper van is in the works. The ID.Buzz concept shows its retro style. The retro-style ID.Buzz electric minivan, which is modeled after the original Type 2 microbus, is set to go on sale in 2023 and will fill a segment currently occupied by the VW Transporter van. The VW Transporter California is a camper-style van.


Machine Learning Speeds up Simulations in Material Science

#artificialintelligence

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires and applies new knowledge, will soon enable researchers to develop complex material systems in a purely virtual environment. How does this work, and which applications will benefit? In an article published in the Nature Materials journal, a researcher from Karlsruhe Institute of Technology (KIT) and his colleagues from Göttingen and Toronto explain it all. Digitization and virtualization are becoming increasingly important in a wide range of scientific disciplines.


Continuous Herded Gibbs Sampling

arXiv.org Machine Learning

Herding is a technique to sequentially generate deterministic samples from a probability distribution. In this work, we propose a continuous herded Gibbs sampler, that combines kernel herding on continuous densities with Gibbs sampling. Our algorithm allows for deterministically sampling from high-dimensional multivariate probability densities, without directly sampling from the joint density. Experiments with Gaussian mixture densities indicate that the L2 error decreases similarly to kernel herding, while the computation time is significantly lower, i.e., linear in the number of dimensions.


Machine learning speeds up simulations in material science

#artificialintelligence

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires and applies new knowledge, will soon enable researchers to develop complex material systems in a purely virtual environment. How does this work, and which applications will benefit? In an article published in the Nature Materials journal, a researcher from Karlsruhe Institute of Technology (KIT) and his colleagues from Göttingen and Toronto explain it all. Digitization and virtualization are becoming increasingly important in a wide range of scientific disciplines.


Unsupervised Lane-Change Identification for On-Ramp Merge Analysis in Naturalistic Driving Data

arXiv.org Artificial Intelligence

Connected and Automated Vehicles (CAVs) are envisioned to transform the future industrial and private transportation sectors. Due to the complexity of the systems, functional verification and validation of safety aspects are essential before the technology merges into the public domain. In recent years, a scenario-driven approach has gained acceptance for CAVs emphasizing the requirement of a solid data basis of scenarios. The large-scale research facility Test Bed Lower Saxony (TFNDS) enables the provision of substantial information for a database of scenarios on motorways. For that purpose, however, the scenarios of interest must be identified and categorized in the collected trajectory data. This work addresses this problem and proposes a framework for on-ramp scenario identification that also enables for scenario categorization and assessment. The efficacy of the framework is shown with a dataset collected on the TFNDS.


Artificial intelligence as a co-driver

#artificialintelligence

The use of artificial intelligence (AI) is becoming more common in many branches of industry and online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction although mainly out of public view. Scientists at the University of Göttingen have now investigated how efficient the use of AI can be in the commercial management of trucks. Their answer: the best option is an intelligent combination of human decision-making and AI applications. The study was published in the International Journal of Logistics Management.


Artificial intelligence and the Gamestonk blowback

#artificialintelligence

Surrounded by rallies of "power to the people," a rag-tag group of scrappy underdogs recently managed to bring Wall Street to its knees through a dazzling display of disobedient investing that saw Gamestop stocks rocket Moonward. This unprecedented seizure of power by the proletariat has been lauded far and wide as a smack in the mouth for the establishment. Some say it's a warning shot to the financial kings and queens of the Earth. The "Gamestonk" legend will be told for years to come – Hollywood's already making sure of that. But the story is far from done.


Conti puts its chips on AI start-up

#artificialintelligence

Hanover, Germany – Continental has acquired a minority stake in Recogni, a German-US start-up working on a new chip architecture for AI-based object-recognition in real time. The San Jose, California-based tech firm's chips are intended for use in Continental's vehicle computers, for example to perform rapid processing of sensor data for automated and autonomous driving. As an investor – percentage stake not disclosed – the Hanover-based group is contributing financial support and expertise in the field of AI, vehicle sensors and advanced driver assistance systems to Recogn's chip design work. Continental said volume production featuring the new chip application could begin as early as 2026: the new processors serving as "ultra-economical data boosters: with minimal energy consumption." The development, it added, will enable vehicle computers to gain a rapid sense of the vehicle's immediate surroundings, thus creating the basis for automated and autonomous driving.


News - Research in Germany

#artificialintelligence

Sartorius will sponsor a new laboratory for cell analysis using Artificial Intelligence (AI) and endow a junior professorship for Computational Cell Analytics at the University of Göttingen. The laboratory is located at the Campus Institute Data Science (CIDAS), where the focus of the new chair's research will also sit. Furthermore, Sartorius will equip the laboratory with additional technical equipment. A strategic partnership between Sartorius and the University of Göttingen has existed since 2014; Sartorius is an Associate Partner of the Göttingen Campus, the association of ten scientific institutions in Göttingen. Sartorius is endowing this professorship to further strengthen and focus the University of Göttingen's special scientific excellence in this field.


Self-Driving Car Startup Argo AI Expands in Pittsburgh

#artificialintelligence

Argo AI is expanding its presence in the Strip District. The self-driving car startup is taking more space in the Riverfront West building in the 3 Crossings development in the Strip. Argo moved its headquarters to the five-story building in 2018. It currently occupies floors four and five, as well as part of the first floor. The additional space will be on the third floor, which it will be sharing with Oxford Development Co., the developer behind 3 Crossings.