Materials
Rithmik Closes US$1.2M to Commercialize "AI-First" Mobile Mining Analytics
MONTREAL and VANCOUVER, British Columbia, July 08, 2021 (GLOBE NEWSWIRE) -- Rithmik Solutions, whose mission is building the world's most advanced and reliable analytics for mobile mining equipment, today announced the closing of a US$1.2M investment led by Chrysalix Venture Capital and joined by Fonds Ecofuel. The funding will accelerate the commercialization of the company's flagship product, Rithmik Asset Health Analyzer (AHA), which has been in development for the past three years and is currently undergoing real-time onsite trials in Alberta, Quebec and Zambia. Rithmik AHA applies a multi-tiered machine learning approach to increase mobile equipment uptime while reducing maintenance costs and lowering greenhouse gas emissions. Mining companies typically spend anywhere from 20%-50% of their annual operating budgets on equipment maintenance, and lost production from unplanned downtime has an even bigger financial impact. "We were impressed by the Rithmik team's deep technical experience in the space of mobile mining equipment data, across equipment types and OEM brands, and that experience has strongly resonated with their early customers," said Alicia Lenis, Vice President at Chrysalix Venture Capital, an industrial innovation fund.
Smell proves powerful sense for birds
Almost 200 years ago, the renowned U.S. naturalist John James Audubon hid a decaying pig carcass under a pile of brush to test vultures' sense of smell. When the birds overlooked the pigโwhile one flocked to a nearly odorless stuffed deer skinโhe took it as proof that they rely on vision, not smell, to find their food. His experiment cemented a commonly held idea. Despite later evidence that vultures and a few specialized avian hunters use odors after all, the dogma that most birds aren't attuned to smell endured. Now, that dogma is being eroded by findings on birds' behavior and molecular hardware, two of which were published just last month. One showed storks home in on the smell of freshly mowed grass; another documented scores of functional olfactory receptors in multiple bird species. Researchers are realizing, says evolutionary biologist Scott Edwards of Harvard University, that โolfaction has a lot of impact on different aspects of bird biology.โ Forty years ago, when ethologist Floriano Papi proposed that homing pigeons find their way back to a roost by sniffing out its chemical signature, his colleagues scoffed at the idea. They pointed out that birds have several other keen senses to guide them, including sight and, in the case of pigeons and some other species, a magnetic sense. โBy then, biological textbooks already stated unequivocally that birds have little to no sense of smell, and many people still believe itโeven scientists,โ says Danielle Whittaker, a chemical ecologist at Michigan State University. Still, contrary evidence was already accumulating. In the 1960s, ornithologist Kenneth Stager found vultures were attracted to boxes with a carcass hidden inside and fans that vented the odorsโas long as this bait wasn't too decomposed, as was likely the case in Audubon's experiment. Researchers also found that albatrosses, shearwaters, and some other seabirds find their fish prey by detecting a chemical released by the plankton the fish eat. But these birds, forced to navigate many kilometers across a featureless sea, seemed exceptional. In 2008, โYou were part of the dark side if you talked about birds using olfaction,โ recalls Martin Wikelski, an ecologist at the Max Planck Institute for Ornithology. That year, though, a graduate student at his institute, molecular ecologist Silke Steiger, analyzed nine bird genomes from across the avian family tree and uncovered many genes for olfactory receptorsโproteins in the nasal passages that bind to odors and relay a signal to the brain. In species that don't rely much on smell (humans are an example), these genes often mutate and become nonfunctional. But the researchers confirmed that many of the birds' olfactory genes were intact. What's more, they found that the number of these genes correlated with the size of a bird species' olfactory bulb, the brain's smell centerโfurther evidence that the receptors were functional. The genomes in that study were incomplete, however. Last month, Christopher Balakrishnan, an evolutionary biologist at East Carolina University, and graduate student Robert Driver examined some of the best available bird genomes and for some species found many more olfactory genes. Their analysis of genomes from a hummingbird, emu, chicken, zebra finch, and a tropical fruit eater called a manakin revealed scores of new olfactory receptors, they reported on 28 June in the journal Integrative and Comparative Biology . That the emu has so many of these genes excites Whittaker, because this bird sits near the base of the bird family tree. โThis result suggests that the ancestor to all birds must have had a very diverse set of olfactory receptor genes as well,โ she says. Smell must have been important to birds from the beginning, and comparisons of their olfactory receptor genes today confirm it remains so. Balakrishnan and Driver found that one diverse set of receptors unique to birds has split into multiple types specific to different bird lineages. That suggests these genes evolved rapidly as the birds diversified. Natural selection may have honed the genes to perform crucial tasks. Wikelski and colleagues saw bird smell in action after they were inspired by a question from a curious primary school student. During an outreach program at a school in Radolfzell, Germany, the student asked the scientists how the local population of European white storks found their way to freshly cut meadows, where their insect and rodent prey were most exposed. To find out, Wikelski piloted his plane in circles to observe a flock of 70 storks on sunny spring and summer days. Even when the storks couldn't see or hear the mowing, he and his colleagues noted, they homed in on mowed fields upwind of them, as if drawn to the smell of the cut grass. To confirm the suspicion, the team sprayed cut-grass smellโa mix of three volatile chemicalsโonto fields that hadn't been mowed recently. The storks came flocking, the team reported on 18 June in Scientific Reports . The work โshows very clearly that these birds rely exclusively on their sense of smell to make foraging decisions,โ Whittaker says. Other bird species may also respond to โcallsโ from injured plants, recent evidence shows. Two European birds, the great tit and the blue tit, locate insects that are attacking pine trees by detecting the volatile chemicals the stressed trees release, ecologist Elina Mรคntylรค of the Biology Centre of the Czech Academy of Sciences and colleagues reported in the September 2020 issue of Ecology and Evolution . All these results show bird olfaction โshould not be ignored,โ Mรคntylรค says. Driver adds that they might also point to a new form of natural pest control, in which farmers or foresters could treat threatened flora with chemicals that entice birds to come and gobble up invasive insects. Other studies suggest olfaction might guide social interactions between birds. Whittaker's team has focused on preen oil, which birds secrete from a gland at the base of the tail and rub onto their feathers. The oil's chemical composition reveals the bird's species, sex, aggressiveness, and reproductive state. Females produce much more of these odorous chemicals, Whittaker and her colleagues reported in January in the Journal of Chemical Ecology , suggesting they depend more on odors to communicate, lacking the flashy feathers and songs that males rely on. Use of these cues is โlikely widespread,โ says Steiger, now at the German chemical company BASF SE, โbut simply not yet investigated well enough.โ That's changing fast, as studies of bird olfaction expand into new species. Published papers on the topic have doubled every decade since 1992, reaching 80 this past year. The field is, belatedly, putting Audubon's misconception to rest and acknowledging that birdsโchampions of flight, vision, and songโhave another power as well.
Infrared camera and artificial intelligence reveal boiling physics - Florida News Times
Photographs of boiling surface taken using a scanning electron microscope: indium tin oxide (upper left), copper oxide nanoleaf (upper right), zinc oxide nanowires (lower left), and porosity of silicon dioxide nanoparticles obtained layer by layer. Quality coating deposit (bottom right).Credit: Massachusetts Institute of Technology Boiling is not just for warming a supper. Itโs also to โฆ
Machine learning cracks the oxidation states of crystal structures
Chemical elements make up pretty much everything in the physical world. As of 2016, we know of 118 elements, all of which can be found categorized in the famous periodic table that hangs in every chemistry lab and classroom. Each element in the periodic table appears as a one-, two-letter abbreviation (e.g. O for oxygen, Al for aluminum) along with its atomic number, which shows how many protons there are in the element's nucleus. The number of protons is enormously important, as it also determines how many electrons orbit the nucleus, which essentially makes the element what it is and gives it its chemical properties.
Applications of Machine Learning in Material Science & Chemical Engineering
Chemical reactions and phase transformations underpin phenomena ranging from cosmological processes, to the emergence of life on Earth, to modern technologies and are therefore of tremendous interest for both basic and applied sciences. Here I provide a review of recent advancements in the intersection between computational mathematics, material science & chemical engineering. Fast Fourier Transforms were used to label the data in an automated & reliable manner. Deep learning was used to map breeches in lattice periodicity to atomic defects in Mo-doped WS2 -- effectively identifying atomic defects in the data. A Gaussian Mixture Model was then used to probabilistically cluster defects.
How Machine Learning And Robotics Resolve The Crisis Of Plastic Sorting
The sorting of robotic recycling employs artificial intelligence and robotic materials so that people do not have to sort plastics. These firms use modern cameras and technology to sort recycling robots and minimise health concerns associated with human labour. Cameras and high-tech computing devices that are designed to sniff certain products will lead the arms of robots to their destination through conveyor belts. Enormous hands, with arms connecting sensors, can pull out the otherwise waste cans and put them into their conveyor belt with glass, plastic containers and other recyclables. Recycling robots continue to help people, but firms have discovered that they would work twice as effective as people.
AI-Based Sustainable Farming Tech Startup ecoRobotix Raises $14.7 Million
Verve Ventures and Swisscom Ventures co-led the investment round and featured further support from ecoRobotix's previous investors, such as CapAgro, 4FO Ventures, and BASF Venture Capital. The ARA was developed in Y-parc, Yverdon-les-Bains, with the use of the state-of-the-art resources of Y-Start, an incubator for innovative new technologies. Lightweight and low cost, the ARA provides a more efficient plant-protection system for food producers than the current methods of weed spraying, using high speed cameras and machine learning to selectively spray weeds with a small dose of herbicide, accurate to areas as small as 3 8 cm. "ecoRobotix solutions not only assist producers in reducing their use of plant protection products by up to 95%, but also in lowering their operating costs. This enables the production of high-quality crops and non-contaminated food at affordable prices. Our health matters, from field to fork!" said Dominique Megret, Head of Swisscom Ventures.
Succeeding in the AI supply-chain revolution
In recent years, supply chains have become substantially more challenging to manage. Longer and increasingly interlinked physical flows reflect the rising complexity of product portfolios. Market volatility, which has been exacerbated by the COVID-19 pandemic, has elevated the need for agility and flexibility. And increased attention on the environmental impact of supply chains is triggering regionalization and the optimization of flows. As a result, companies and stakeholders have become more focused on supply-chain resilience.
An expert on search and rescue robots explains the technologies used in disasters like the Florida condo collapse
Texas A&M's Robin Murphy has deployed robots at 29 disasters, including three building collapses, two mine disasters and an earthquake as director of the Center for Robot-Assisted Search and Rescue. She has also served as a technical search specialist with the Hillsboro County (Florida) Fire and Rescue Department. The Conversation talked to Murphy to provide readers an understanding of the types of technologies that search and rescue crews at the Champlain Towers South disaster site in Surfside, Florida, have at their disposal, as well as some they don't. The interview has been edited for length. We don't have reports about it from Miami-Dade Fire Rescue Department, but news coverage shows that they're using drones.
Machines learn to unearth new materials
Zachary Ulissi (right) explores how surface chirality affects chemical reactions.Credit: Materials Science and Engineering Department/Carnegie Mellon University Materials scientists are increasingly turning to machine learning and other computational techniques to discover new materials. From corrosion resistant aeroplane components and better batteries to new drugs or novel catalysts, big data can help to find them. "The problem is that the number of possible materials is infinite," says Matthias Scheffler, a computational materials scientist at the Fritz-Haber Institute in Berlin, Germany. "With high-throughput screening, you can screen thousands of systems, and a thousand is nothing compared to infinite." Along with physicist Claudia Draxl, of Humboldt University Berlin, Scheffler launched the Novel Materials Discovery Laboratory (NOMAD) at Fritz-Haber, a data repository for a wide variety of information about chemical compounds.