Footage has emerged of one of Boston Dynamics' robotic dogs patrolling a SpaceX test site in the US. The video allegedly shows SpaceX using the $75,000 (£60,000) robotic dog to inspect the aftermath of its test site in Boca Chica, Texas. SpaceX had just been conducting a cryogenic pressure test on the Starship SN7 dome tank prototype, according to Tesmanian. SN7 was filled with sub-cooled liquid nitrogen and it was intentionally pressurised to its capacity before it burst and collapsed on its side. The stainless-steel commercial spacecraft, once operational, will be capable of transporting passengers on long-duration voyages to the Moon and Mars. But until the launch vehicle is ready, Elon Musk's company appears to be employing a little help from a trusty robotic companion.
Lawrence Livermore National Laboratory (LLNL) scientists have taken a step forward in the design of future materials with improved performance by analyzing its microstructure using AI. The work recently appeared online in the journal Computational Materials Science. Technological progress in materials science applications spanning electronic, biomedical, alternate energy, electrolyte, catalyst design and beyond is often hindered by a lack of understanding of complex relationships between the underlying material microstructure and device performance. But AI-driven data analytics provide opportunities that can accelerate materials design and optimization by elucidating processing-performance correlations in a mathematically tractable way. However, to reliably train large networks one needs data from tens of thousands of samples, which, unfortunately is often prohibitive in new systems and new applications due to the cost of sample-preparation and data collection.
Land-use change by humans, particularly forest loss, is influencing Earth's biodiversity through time. To assess the influence of forest loss on population and biodiversity change, Daskalova et al. integrated data from more than 6000 time series of species' abundance, richness, and composition in ecological assemblages around the world. Forest loss leads to both positive and negative responses of populations and biodiversity, and the temporal lags in population and biodiversity change after forest loss can extend up to half a century. This analysis has consequences for projections of human impact, ongoing conservation, and assessments of biodiversity change.
Yara, one of the world's leading fertilizer companies and a provider of environmental solutions, have created an industry-wide business platform to connect and empower independent farmers. It will use IoT sensors and AI and TWC to provide hyperlocal weather forecasting, crop damage prediction and real-time recommendations. Already downloaded by over 1,300,000 farmers, this platform is transforming existing supplier relationships and expanding its value. Yara built a digital farming platform that connects and empowers independent farmers, expanding its business model as a first-of-a-kind, competitive differentiator in the industry. Yara, one of the world's leading fertilizer companies and a provider of environmental solutions, have created an industry-wide business platform to connect and empower independent farmers.
Air Quality Index is based on the measurement of particulate matter, Ozone, Nitrogen Dioxide, Sulfur Dioxide, and Carbon Monoxide emissions. Most of the stations on the map are monitoring both PM2.5 and PM10 data, but there are few exceptions where only PM10 is available, Here we are using the Bangalore weather data, and some of the features might even make the predictions worse. An artificial neural network is an interconnected group of nodes, inspired by a simplification of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another, here it would help us how we can make neurons on-air live air data, try to find the best mean squared error. Input Layer - This is the first layer in the neural network.
Soft, edible robots that mimic real organisms could be used to deliver drugs to animals. That is just one potential application of a new material made from biodegradable gel. "The question is, could we develop a material that is, at the same time, very reliable while you use it, but once triggered can completely degrade?" says Martin Kaltenbrunner at Johannes Kepler University Linz in Austria. Kaltenbrunner and his colleagues created a gel out of ingredients that are safe to eat, including gelatine – which can be fully degraded by the body – citric acid to stop bacterial growth and glycerol for softness and to prevent dehydration. The biogel is designed to be eaten by bacteria commonly found in waste water, meaning it will break down naturally if it ends up in landfill, for instance, but remain stable otherwise.
Climate change is seen as the biggest challenge to the future of human life on Earth, and understanding the scientific language used to describe it can sometimes feel just as difficult. But help is at hand. Use our translator tool to find out what some of the words and phrases relating to climate change mean. Keeping the rise in global average temperature below 1.5 degrees Celsius will avoid the worst impacts of climate change, scientists say.
Researchers from U of T Engineering and Carnegie Mellon University are using electrolyzers like this one to convert waste CO2 into commercially valuable chemicals. Their latest catalyst, designed in part through the use of AI, is the most efficient in its class. Credit: Daria Perevezentsev / University of Toronto Engineering Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. They leveraged AI to speed up the search for the key material in a new catalyst that converts carbon dioxide (CO2) into ethylene -- a chemical precursor to a wide range of products, from plastics to dish detergent. The resulting electrocatalyst is the most efficient in its class.
Researchers from U of T Engineering and Carnegie Mellon University are using electrolyzers like this one to convert waste CO2 into commercially valuable chemicals. Their latest catalyst, designed in part through the use of AI, is the most efficient in its class. Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. They leveraged AI to speed up the search for the key material in a new catalyst that converts carbon dioxide (CO2) into ethylene -- a chemical precursor to a wide range of products, from plastics to dish detergent. The resulting electrocatalyst is the most efficient in its class.
Before committing to a company, investors want to know if there are any potential controversies brewing, or if the company shows particular leadership in an area of ESG, such as diversity in the workforce. Refinitiv is a global provider of financial market data and infrastructure, and this article describes how their Labs team is exploring the use of NLP to give their clients a competitive edge in global financial markets. Currently, Refinitiv analysts search for news stories about a specific company using a set of ESG-related keywords, and if there's a positive match, the story is subject to further scrutiny. CHICAGO (Reuters) -- The agricultural unit of German chemicals company Bayer AG will halt future U.S. sales of an insecticide that can be used on more than 200 crops after losing a fight with the U.S. Environment Protection Agency, the company said on Friday. This can take the analyst some considerable time.