Last year, the cover of New Scientist ran the headline, "Is the Universe Conscious?" Mathematician and physicist Johannes Kleiner, at the Munich Center for Mathematical Philosophy in Germany, told author Michael Brooks that a mathematically precise definition of consciousness could mean that the cosmos is suffused with subjective experience. "This could be the beginning of a scientific revolution," Kleiner said, referring to research he and others have been conducting. Kleiner and his colleagues are focused on the Integrated Information Theory of consciousness, one of the more prominent theories of consciousness today. As Kleiner notes, IIT (as the theory is known) is thoroughly panpsychist because all integrated information has at least one bit of consciousness.
In the fight against the virus, Germany has famously relied on lockdown – other countries such as Taiwan, Singapore or South Korea have used modern technologies for tracking contacts, movement patterns as well as warning apps to track down the COVID-19 pathogens with considerable success. This is despite the fact that in the densely populated regions of Taiwan or South Korea, many more people congregate in a small area than in this country. One important finding for future pandemics is that we still know too little about how people move around in their everyday lives. Artificial intelligence (AI) is essential to change this. After all, movement flows can in principle be controlled with the help of AI.
Over 30 percent of that is already destroyed in the production process. In the Resource-efficient Intelligent Foodchain ("REIF") projects working to combat this food waste. In this undertaking, artificial intelligence (AI) can be a valuable asset. Cheese, bread, meat, and other food products can be efficiently produced using data-based algorithms. Germany has committed to the United Nations goal to reduce food waste by half by the year 2030.
In a preprint posted online Thursday night, researchers at Google in collaboration with physicists at Stanford, Princeton and other universities say that they have used Google's quantum computer to demonstrate a genuine "time crystal." In addition, a separate research group claimed earlier this month to have created a time crystal in a diamond. A novel phase of matter that physicists have strived to realize for many years, a time crystal is an object whose parts move in a regular, repeating cycle, sustaining this constant change without burning any energy. "The consequence is amazing: You evade the second law of thermodynamics," said Roderich Moessner, director of the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, and a co-author on the Google paper. That's the law that says disorder always increases.
In the production work of the future, autonomous systems will support people through data-based analyzes and intelligent solution patterns for value-adding activities. Experts from the two Fraunhofer institutes IPA and IAO in Stuttgart will show their guests at the "International Open Lab Day" on April 16, 2021 the benefits that artificial intelligence (AI) can bring. In the future, AI could identify potential for optimization, make fitters' work easier or set up personnel deployment plans: These are just a few examples of how AI can help make production more resilient and flexible. However, this does not mean that the human being becomes an assistant to the algorithms, but remains the director of the processes, works efficiently in an adaptive environment and no longer has to take on so many control tasks. Digital technologies help to make production work more human-centered.
Welcome readers to Part 2 of the Linear predictive model series. If you haven't read Part 1 of this series, you can read that here: As a quick recap, in part 1 we obtained our data by web scraping AutoScout24 and obtained the dataset of car sales in Germany. Next, we cleaned and prepared the data for a preliminary Exploratory data analysis. Then we began with our modeling and used several Regression models like Linear regression with and without regularization, Linear regression with Regu, Pipeline, Cross Val Predict, and lastly with Polynomial regularization. Regression analysis can be described as a way of predicting the future of a dependable (target) variable use single or multiple independent variables(also known as predictors).
As populations age, more and more people are asking how best to organise care for the elderly in future. Trained staff will be important, as will technology and innovation – which may include artificial intelligence (AI). Some people get fearful when talk turns to AI, a topic riddled with misconceptions. At the end of the day, what it means is the attempt to map human decisions using computers, says Andreas Hein, an expert in assistance systems at Oldenburg University in Germany. In a medicine or health care setting, that means providing doctors and nurses suggestions that a computer has created based on data.
Continental calls for universities to focus more on practical requirements. In order for Germany to catch up in the area of artificial intelligence (AI), Continental is calling for a fundamental shift in the training of AI specialists in universities. "AI is a key success factor for Germany as a business location. Without a fundamental rethink, Germanywill fall behind the global front runners when it comes to technology," explained Ariane Reinhart, Continental Executive Board member for Human Relations. "In order for the economy to have a sufficient number of AI graduates available, universities must focus their training more on practical requirements. Otherwise, our national economy risks losing ground on other leading economies when it comes to technology."
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.
Altoida Inc. today announced a $6.3 million round of venture capital financing to bring its FDA-cleared and CE Mark-approved medical device and brain health data platform to patients, physicians and researchers around the globe. Led by a team of esteemed neuroscientists, physicians and computer scientists, Altoida uses digital biomarkers to drive better clinical outcomes for brain disease. The Series A round was led by M Ventures, the corporate venture capital arm of the science and technology company Merck KGaA, Darmstadt, Germany, with participation from Grey Sky Venture Partners, VI Partners AG, Alpana Ventures, and FYRFLY Venture Partners. The new capital will be used to further expand Altoida's global presence with an immediate focus on commercialization activities in the US and EU markets. "Altoida is at the forefront of a new era to leverage Artificial Intelligence and Machine Learning to assess brain health," said Alexander Hoffmann, Principal, New Businesses at M Ventures.