Source: i-hls.com Future multi-domain battles will require swarms of dynamically coupled, coordinated heterogeneous mobile platforms to overmatch enemy capabilities and threats. The US Army is looking to swarming technology to be able to execute time-consuming or dangerous tasks. Swarming is a method of operations where multiple autonomous systems act as a cohesive unit by actively Read More
Tag: researchers
Source: geospatialworld.net Los Angeles based TipTags, announced it has launched a mobile map-based system designed to enable ANYONE to create, share and access hyper-local information about navigating the post-COVID-19 world in hurricanes and other potential emergencies. The goal is to provide risk-mitigation & increased awareness through transparency, placing potentially life-saving information in the hands of Read More
Source: discovermagazine.com Deep in the bowels of the Smithsonian National Museum of American History in Washington, D.C., sits a large metal cabinet the size of a walk-in wardrobe. The cabinet houses a remarkable computer — the front is covered in dials, switches and gauges, and inside, it is filled with potentiometers controlled by small electric Read More
Sourcea: news.mit.edu In June, OpenAI unveiled the largest language model in the world, a text-generating tool called GPT-3 that can write creative fiction, translate legalese into plain English, and answer obscure trivia questions. It’s the latest feat of intelligence achieved by deep learning, a machine learning method patterned after the way neurons in the brain process and store information. Read More
Source: enterpriseai.news Researchers from George Washington University have reported an approach for building photonic tensor cores that leverages phase change photonic memory to implement a neural network (NN). Their novel architecture, reported online in AIP Applied Physics Review last week, promises both performance gains and power advantages over traditional GPUs and other tensor core devices. Read More
Source: expresscomputer.in To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a Read More
Source: techxplore.com Over the past decade, researchers have developed a growing number of deep neural networks that can be trained to complete a variety of tasks, including recognizing people or objects in images. While many of these computational techniques have achieved remarkable results, they can sometimes be fooled into misclassifying data. An adversarial attack is Read More
Source: top10pokersites.net A team of researchers from Facebook have recently developed a poker-playing AI that is capable of beating human players in heads-up, no-limit Texas hold’em poker. Called Recursive Belief-based Learning (ReBel), the general AI framework learns poker faster than any other previous poker-specific AI, using less domain knowledge, and researchers are claiming this with a supporting experiment. The Read More
Source: infosecurity-magazine.com/ Whether we realize it or not, our digital lives and what we see on the internet are controlled and determined by algorithms and analytics. Through them, businesses learn what our preferences are and what we’re drawn to in order to target us with information. The idea is to present us with information that Read More
Source: thenextweb.com Two things often mentioned with deep learning are “data” and “compute resources.” You need a lot of both when developing, training, and testing deep learning models. When developers don’t have a lot of training samples or access to very powerful servers, they use transfer learning to finetune a pre-trained deep learning model for a new task. Read More
Source: newswise.com Newswise — Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types. The study, published July 27 in Nature Cancer, highlights the potential of artificial intelligence to help clinicians Read More
Source: labpulse.com A deep-learning system developed at Google outperformed general pathologists for Gleason grading of prostate cancer biopsies, company researchers reported in JAMA Oncology online July 23. The research comes from a deep-learning/artificial intelligence (AI) research team at Google Health in Palo Alto, CA. For the study, performance of the deep-learning system and general pathologists were compared Read More
Source: itnews.iu.edu From decoding genomes to analyzing the contents of thousands of images and videos, artificial intelligence (AI) is redefining research. At Indiana University (IU), the Deep Learning (DL) Resource on Carbonate provides processing power and specialized support for over 100 projects across a wide range of fields that engage the potential of AI. Starting Read More
Source: dqindia.com While Artificial General Intelligence, or “singularity” as they call it, may be decades away, we have already reached a point where AI can significantly augment our intelligence and help us achieve better outputs at a faster pace. As of today, there is no area where AI has not been proven useful. From playing games to flying airplanes and from detecting cancers to automatically cleaning up selfie-portraits, AI has made its presence felt in all Read More
Source: bestgamingpro.com In a study printed on the preprint server Arxiv.org, DeepMind researchers describe a reinforcement learning algorithm-generating approach that discovers what to foretell and the way to be taught it by interacting with environments. They declare the generated algorithms carry out nicely on a variety of difficult Atari video video games, reaching “non-trivial” efficiency indicative of the approach’s Read More
Source: the-hookup.gadgethacks.com In the coming years, artificial intelligence (AI) will revolutionize every facet of technology and business. AI researchers are in high demand. Salaries in this field are regularly in the hundreds of thousands of dollars. AI is already disrupting and transforming numerous industries, including transportation, manufacturing, health care, education, media, and customer service. Businesses in practically every Read More
Source: the-scientist.com Although cough and fever have been considered the most tell-tale signs of COVID-19, in May, researchers published a study suggesting that loss of smell and taste were better able to predict who would test positive for the disease. The insight came from data shared by millions of individuals who logged on to a phone app Read More
Source: wired.com EARLY LAST YEAR, a large European supermarket chain deployed artificial intelligence to predict what customers would buy each day at different stores, to help keep shelves stocked while reducing costly spoilage of goods. The company already used purchasing data and a simple statistical method to predict sales. With deep learning, a technique that has helped produce spectacular Read More
Source: techxplore.com In recent years, a growing number of researchers have been developing artificial neural network (ANN)- based models that can be trained using a technique known as reinforcement learning (RL). RL entails training artificial agents to solve a variety of tasks by giving them “rewards” when they perform well, for instance, when they classify Read More
Source: enterpriseai.news Moving neuromorphic technology from the laboratory into practice has proven slow-going. This week, National University of Singapore researchers moved the needle forward demonstrating an event-driven, visual-tactile perception system that uses Intel’s Loihi chip to control a robotic arm combining tactile sensing and vision. Noteworthy, they also ran the exercise on a GPU system Read More
Source: newswise.com Newswise — Public health efforts depend heavily on predicting how diseases like COVID-19 spread across the globe. Researchers from Florida Atlantic University’s College of Engineering and Computer Science in collaboration with LexisNexis Risk(R) Solutions, a global data technology and advanced analytics leader, have received a rapid research (RAPID) grant from the National Science Foundation (NSF) to develop a model Read More
Source: rtinsights.com New research from the Lawrence Livermore National Laboratory (LLNL) demonstrated deep learning surrogate models performing as well, and sometimes better, than more expensive simulators. The researchers tested the surrogate model on complicated inertial confinement fusion problems and found it could accurately emulate scientific processes, while also reducing compute time from half an hour to a Read More
Source: techspot.com Machine learning (ML) has become a hot topic in the last few years, but what you may not realize is that the concept of machine learning has been around for decades. The design of machine-learning systems used to this day is based on the human brain model described by Donald Hebb in 1949 in his Read More
Source: beckershospitalreview.com Microsoft announced July 8 a new artificial intelligence tool for its cloud platform Azure that allows developers to analyze unstructured medical data, including clinical notes, clinical trial protocols and medical publications. Microsoft’s Text Analytics for health allows researchers, data analysts and medical professionals to detect words and phrases from unstructured text and connect them to Read More
Source: scienceblog.com For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions – about the amount produced by flying one Read More
Source: bweducation.businessworld.in A new distance learning project that will enable more people to develop skills in robotics and autonomous systems, to help close the skills gap and drive forward productivity in the UK, is being launched by researchers from the University of Sheffield. The project, led by Professor Tony Prescott from the University of Sheffield’s Read More
Source: techxplore.com For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions—about the amount produced by flying one Read More
Source: constructionglobal.com In recent years, we have seen so much innovation and digital transformation in all corners of the construction industry from the planning and design process to on-site work. Robotics has been one of the biggest technological advancements the industry has been graced by. As robotics in the construction industry continues to play a Read More
Source: bbc.com Its creators are confident it is the world’s first laboratory studying assisted living that researchers can use remotely. We all need help now and then, but people with physical and mental challenges need it much more, especially if they want to live independently. Real life human helpers have been the norm until now Read More
Source: lawfareblog.com The “internet of things” (IoT) has been insecure since the first connected refrigerator woke up and asked for more milk. But while having your fridge hacked seems at best amusing and at worst inconvenient, the nightmare scenario is a matter of national security. Imagine hundreds of thousands of smart refrigerators, all with the Read More