Source: outlookindia.com New York, March 24 (IANS) Researchers have used artificial intelligence (AI) to detect Vietnam War-era bomb craters in Cambodia from satellite images – with the hope that it can help find unexploded bombs in near future. The new method increased true bomb crater detection by more than 160 per cent over standard methods, Read More
Tag: developed
Source: drugtargetreview.com A new collaboration has demonstrated fully-autonomous Scanning Probe Microscopy (SPM) operation, applying artificial intelligence (AI) and deep learning to remove the need for constant human supervision. According to the researchers, the new system, dubbed DeepSPM, bridges the gap between nanoscience, automation and AI, firmly establishing the use of machine learning for experimental scientific research. “Optimising Read More
Source: dataconomy.com With the Ebola threat still looming large, widespread efforts are being made to identify, quarantine and treat possible carriers. BigMosaic, a big data analytics program developed by the Centers for Disease Control in collaboration with Healthmap will aid CDC in monitoring new cases and work with the West African expat community. Marty Cetron, director of CDC’s Read More
Source: agrinews-pubs.com URBANA, Ill. – With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study from an interdisciplinary research group at University of Illinois offers a promising approach to efficiently Read More
Source: mit.edu The work of MIT computer scientist Aleksander Madry is fueled by one core mission: “doing machine learning the right way.” Madry’s research centers largely on making machine learning — a type of artificial intelligence — more accurate, efficient, and robust against errors. In his classroom and beyond, he also worries about questions of Read More
Source: machinedesign.com Researchers at Columbia Engineering have developed a fully integrated, sensorized robot finger. Until now, touch sensors have been difficult to integrate into robot fingers. Among the challenges were the inability to cover multi-curved surfaces, high wire count and difficulty fitting into small fingertips—all of which prevented applications with dexterous hands. What sets this robot finger Read More
Source: vaticannews.va The increase in the number of cancer cases worldwide is a major cause for concern for the medical community. Doctor Alexandru Floares, a speaker at a 3-day workshop organized by the Pontifical Academy for Life on Ethics and Artificial Intelligence (AI), spoke to Vatican Radio on the potential for larger strides in the Read More
Source: caixinglobal.com Chinese autonomous vehicle startup Pony.ai said Wednesday that it has received a $400 million investment from Japanese automaker Toyota, upping the ante in its push to develop automated vehicles. The Guangzhou-based company will use the fresh capital to boost the development and commercialization of driverless cars, which will mainly feature what’s called “Level Read More
Source: mit.edu Over the last century, scientists have developed methods to map the structures within the Earth’s crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess carbon dioxide could potentially be sequestered. They do so by tracking seismic waves that are produced naturally by earthquakes or Read More
Source: venturebeat.com In reinforcement learning, the goal generally is to spur an AI-driven agent to complete tasks via systems of rewards. This is achieved either by learning a mapping (a policy) from states to actions that maximize an expected return (policy gradients), or by inferring such a mapping by calculating the expected return for a given Read More
Source: analyticsinsight.net Deep learning which is also termed as hierarchical learning or deep structured learning uses a layered algorithmic architecture to analyze data. Its peculiarity helps organizations and researchers achieve the unachievable in a most innovative manner. Recently, researchers at the University of Eastern Finland developed a new deep learning model that can identify sleep stages Read More
Source: venturebeat.com Determining whether an AI system is maintaining fairness in its predictions requires an understanding of models’ short- and long-term effects, which might be informed by disparities in error metrics on a number of static data sets. In some cases, it’s necessary to consider the context in which the AI system operates in addition Read More
Source: drugtargetreview.com Researchers have developed a novel method for producing lung cells in vitro using machine learning. The creators of the artificial intelligence technique believe their work will improve models of lung disease and laboratory testing of treatments. The collaboration between the Center for Regenerative Medicine (CReM) at Boston University and the Carnegie Mellon University (CMU), both US, highlighted Read More
Source: techspot.com What just happened? Of all the domains where machine learning is expected to be revolutionary, medicine is perhaps the most universal. In a major new milestone, a drug developed using machine learning is about to enter human trials. Before a new medicine enters human trials, there is typically three to five years of work Read More
Source: itproportal.com You see them all over city streets: pedestrians wearing headphones or earbuds – their faces glued to their phones as they stroll along oblivious to their surroundings. Known as “twalking,” the behavior is not without its dangers. Headphone-wearing pedestrians often can’t hear the auditory cues – horns, shouts, or the sound of approaching Read More
Source: e3zine.com Some insurance companies are using AI-based chatbots in customer service and continuously improving them through machine learning. Major companies like Bosch and Siemens as well as energy and utility companies are making big strides in predictive maintenance and field services. Additionally, financial advisors have developed robotic counterparts. Conversations with software providers, consultancies and Read More
Source: infoq.com Horace He recently published an article summarising The State of Machine Learning Frameworks in 2019. The article utilizes several metrics to argue the point that PyTorch is quickly becoming the dominant framework for research, whereas TensorFlow is the dominant framework for applications deployed within a commercial/industrial context. He, a research student at Cornell University, counted the number of papers discusing either PyTorch or TensorFlow Read More
Source: business-standard.com In a first-of-its-kind initiative, the Tamil Nadu government is working on a policy for safe and ethical use of artificial intelligence (AI). It will set certain parameters that will need to be fulfilled before rolling out AI-based solutions, especially for the government. According to a senior state government official, a policy on Blockchain is also expected to be released Read More
Source: physicsworld.com Head CT is used worldwide to assess neurological emergencies and detect acute brain haemorrhages. Interpreting these head CT scans requires readers to identify tiny subtle abnormalities, with near-perfect sensitivity, within a 3D stack of greyscale images characterized by poor soft-tissue contrast, low signal-to-noise ratio and a high incidence of artefacts. As such, even Read More
Source: newswise.com Newswise — ALBUQUERQUE, N.M. — Social media, cameras, sensors and more generate huge amounts of data that can overwhelm analysts sifting through it all for meaningful, actionable information to provide decision-makers such as political leaders and field commanders responding to security threats. Sandia National Laboratories researchers are working to lessen that burden by Read More
Source:- analyticsindiamag.com The amount of data that is getting generated on a day-to-day basis is huge. That is why companies across the globe are turning data into information and are using it to optimise their strategies. But the challenge here is the fact that every company needs a professional with relevant skills to extract insights Read More