Source: unite.ai Researchers from Radboudumc helped advance artificial intelligence (AI) in the clinical setting after demonstrating how AI can diagnose problems similar to a doctor, while also showing how it reaches the diagnosis. AI already plays a role in this environment, being utilized to quickly detect abnormalities that could be labeled as a disease by experts. Read More
Tag: researchers
Source: techxplore.com Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new insights in complicated physics problems such as inertial confinement fusion (ICF), Lawrence Livermore National Laboratory (LLNL) scientists reported. In a paper published by the Proceedings of the National Academy of Read More
Source: eos.org Future telescopes like the James Webb Space Telescope (JWST) and the Atmospheric Remote-sensing Infrared Exoplanet Large-survey (ARIEL) are designed to sample the chemistry of exoplanet atmospheres. Ten years from now, spectra of alien skies will be coming in by the hundreds, and the data will be of a higher quality than is currently Read More
Source: venturebeat.com In a preprint paper this week published on Arxiv.org, researchers at Intel describe Sample Factory, a system that achieves high throughput — higher than 105 environment frames per second — in reinforcement learning experiments. In contrast to the distributed servers and hardware setups those experiments typically require, Sample Factory is optimized for single-machine settings, enabling researchers to achieve Read More
Source: mercomindia.com Solar project installations across the United States are increasing, and scientists are trying their best to find out the impact of solar infrastructure on wildlife. Currently, the data collection methods being used are a bit outdated and time-consuming. Taking these things into consideration, the U.S. Department of Energy’s (DOE) Argonne National Laboratory has come up Read More
Source: xinhuanet.com JERUSALEM, June 17 (Xinhua) — Israeli researchers have developed an innovative microscopic method for creating 3D dynamic cell images, the northern Israel Institute of Technology (Technion) said on Wednesday. This deep-learning technology, published in the journal Nature Methods, may lead to the mapping of biological processes in living cells in super-resolution. The new Read More
Source: venturebeat.com A team of researchers at Nanyang Technological University in Singapore claim deep reinforcement learning (DRL) algorithms — algorithms that have been used to predict the shapes of proteins and teach robots to grasp objects — are prone to adversarial attacks that can extract and replicate them, enabling malicious actors to “steal” them. In a preprint Read More
Source: wired.co.uk In this era of artificial intelligence, it’s ironic that there’s so much that we don’t know about natural intelligence. But details of a missing chapter in the story of the brain are about to emerge from a new multi-million pound laboratory that will use wireless and wearable technologies to get inside the heads Read More
Source: infoq.com Google Brain has released the pre-trained models and fine-tuning code for Big Transfer (BiT), a deep-learning computer vision model. The models are pre-trained on publicly-available generic image datasets and can meet or exceed state-of-the-art performance on several vision benchmarks after fine-tuning on just a few samples. Paper co-authors Lucas Beyer and Alexander Kolesnikov gave an overview of Read More
Source: eng.ed.ac.uk The Japanese Society for the Promotion of Science (JSPS) runs a competitive Summer Program Fellowship Award scheme each year, offering 23 placements to UK applicants to carry out research at a partner institution in Japan for around two months. Kyle, who is in the first year of his PhD studies, will travel to Read More
Source: analyticsindiamag.com Reinforcement Learning has become the base approach in order to attain artificial general intelligence. The ICLR (International Conference on Learning Representations) is one of the major AI conferences that take place every year. With more than 600 interesting research papers, there are around 44 research papers in reinforcement learning that have been accepted in this year’s Read More
Source: eos.org The use of artificial intelligence and machine learning is now widespread with wide-ranging practical applications in many Earth science domains, including climate modeling, weather prediction, and volcanic eruption forecasting. This current revolution in computing has been driven largely by rapid improvements in computer software and algorithms. But now, we’re approaching a second computing revolution of redesigning Read More
Source: photonics.com Researchers at Binghamton University, who previously developed a method for detecting “butterfly” land mines using low-cost, commercial drones equipped with multispectral and infrared cameras, are now focusing on automated detection of land mines using convolutional neural networks. Nicknamed “butterfly” land mines for their small size and butterfly-like shape, PFM-1 land mines are extremely Read More
Source: beckershospitalreview.com The increased sharing of patient data as hospitals and health systems research COVID-19 and seek new revenue streams as businesses seek “mining rights” to that data has raised patient privacy concerns. In a May 28 article published in the New England Journal of Medicine, a team of Ann Arbor-based Michigan Medicine clinicians and researchers Read More
Source: techxplore.com Researchers at the University of Bristol have recently trained a deep-neural-network-based model to gather tactile information about 3-D objects. In their paper, published in IEEE Robotics & Automation Magazine, they applied the deep learning technique to a robotic fingertip with sensing capabilities and found that it allowed it to infer more information about its Read More
Source: republika.co.id REPUBLIKA.CO.ID, SUKABUMI – Data mining is a very popular science lately. The era of digitalization like now has a lot to store data in digital form. One of them is in the field of finance, but the data is only in the form of stored facts and have no meaning. So that data can produce value, Read More
source: technologynetworks.com Much has been said about using artificial intelligence (AI) to accelerate research in diagnostics or bioinformatics; but this is only a small part of what AI can do for research. AI is also a component of the internet of things (IoT), which consists of the collection of data by sensors, AI analytics that Read More
Source: techxplore.com The automatic operation and maintenance of optical network is important for ensuring information communication and network operation. The growing variety of services has forced operation and maintenance personnel to face tremendous operational pressure. A recent study has constructed a control architecture called intent defined optical networks (IDON) to cope with the issue. The Read More
Source: venturebeat.com In a paper published this week on the preprint server Arxiv.org, scientists at DeepMind introduce the idea of simple sensor intentions (SSIs), a way to reduce the knowledge needed to define rewards (functions describing how AI ought to behave) in reinforcement learning systems. They claim that SSIs can help to solve a range of complex robotic tasks Read More
Source: iotbusinessnews.co The Internet of Things, or IoT, is a network of Internet-connected objects capable of collecting and sharing information. In today’s digital-driven environment, IoT connects nearly everything including homes, offices, and cars, enabling users to remotely operate a myriad of objects and equipments, along with a number of well-known security threats. The benefits of Read More
Source: analyticsindiamag.com Recently, researchers at Alphabet’s DeepMind and the University of California, Berkeley proposed an AI framework for comparing child and AI agent behaviours and hence developing new exploration techniques. While developing a reinforcement learning agent, there are several questions related to the exploring behaviour that comes into the mind of researchers — how should an agent gather enough experience Read More
Source: healthitanalytics.com Researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) have developed deep learning tools that can detect age-related macular degeneration (AMD), a leading cause of blindness in the US. In patients with AMD, the central area of the retina called the macula deteriorates, causing blurry vision that can worsen significantly over time. Read More
Source: techerati.com As part of a recent entry to Science Robotics, experts argued that “Covid-19 could be a catalyst for developing robotic systems that can be rapidly deployed with remote access […] to front lines”. It is often in times of great strife that innovation truly comes to the fore – the progress made across both Read More
Source: livemint.com NEW DELHI: Manipulating images to hide malware is common. Once the image is opened on a system, the malware loader starts the decryption process. The decrypted file is then loaded on to the device memory triggering a malware attack. Now, Microsoft and Intel have found a way to use images to detect malware Read More
Source: livemint.com NEW DELHI: Manipulating images to hide malware is common. Once the image is opened on a system, the malware loader starts the decryption process. The decrypted file is then loaded on to the device memory triggering a malware attack. Now, Microsoft and Intel have found a way to use images to detect malware Read More
Source: venturebeat.com In a technical paper published on Arxiv.org this week, researchers at Facebook and Arizona State University lifted the hood on AutoScale, which shares a name with Facebook’s energy-sensitive load balancer. AutoScale, which could theoretically be used by any company were the code to be made publicly available, leverages AI to enable energy-efficient inference on smartphones and other edge Read More
Source: technologynetworks.com Identifying sources of light plays an important role in the development of many photonic technologies, such as lidar, remote sensing, and microscopy. Traditionally, identifying light sources as diverse as sunlight, laser radiation, or molecule fluorescence has required millions of measurements, particularly in low-light environments, which limits the realistic implementation of quantum photonic technologies. Read More
Sourced: jdsupra.com The efforts of Stephen Thaler are worth following. He, along with a team of researchers and academics, has spent the past decade developing DABUS, an artificial intelligence (AI) system that “invents.” Unlike specialized AI systems, DABUS is fed general information and is not trained to solve a particular problem – rather, DABUS is given Read More
Source: analyticsindiamag.com Reinforcement learning is one of the most happening domains within AI since the early days. The innovations are often ingenious, but we rarely see them in the real world. Robotics is one area where reinforcement learning is widely used, where robots usually learn novel behaviours through trial and error interactions. However, there are Read More
Source: thenextweb.com Google‘s AI team has released a new tool to help researchers traverse through a trove of coronavirus papers, journals, and articles. The COVID-19 research explorer tool is a semantic search interface that sits on top of the COVID-19 Open Research Dataset (CORD-19). The team says that traditional search engines are sufficient at answering queries such as “What are Read More