Source: Past psychology studies suggest that the human gaze can encode the intentions of humans as they perform everyday tasks, such as making a sandwich or a hot beverage. Similarly, human gaze has been found to enhance the performance of imitation learning methods, which allow robots to learn how to complete tasks by imitating human Read More
Category: Deep Learning
Deep Learning
Source: rtinsights.com Almost every update by an operating system provider inevitably comes with new bugs. The recent Windows 10 update, published by Microsoft earlier this week, significantly slowed PC boot time. While most software developers test updates well in advance, publishing it to millions of different machines can lead to significant differences in how the software performs. Read More
Source: A standard method for testing some of the mechanical properties of materials is to poke them with a sharp point. This “indentation technique” can provide detailed measurements of how the material responds to the point’s force, as a function of its penetration depth. With advances in nanotechnology during the past two decades, the indentation 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: digitaltrends.com Deep-learning artificial intelligence is helping grapple with plenty of problems in the modern world. But it also has its part to play in helping solve some ancient problems as well — such as assisting in the translation of 2,500-year-old clay tablet documents from Persia’s Achaemenid Empire. These tablets, which were discovered in modern-day Iran in 1933, Read More
Source: gizbot.com Prama Hikvision recently demonstrated its intelligent technologies and solutions showcasing some of its latest as well as forthcoming innovations. The company demonstrated its AI applications which is driven by Deep Learning Algorithms were demonstrated through various application scenarios related to Face Recognition, People Tracking and Perimeter Security. The company explained its emerging technologies Read More
Source: analyticsinsight.net The promise of deep learning in the field of computer vision is better performance by models that may require more data however, less digital sign preparing ability to train and work. There is a ton of promotion and large claims around deep learning methods, however, past the hype, deep learning techniques are accomplishing cutting edge Read More
Source: radiology.ucsf.edu Hip osteoarthritis can be a painful and debilitating condition. Unfortunately, osteoarthritis is a degenerative disease with no cure, as of yet. A long term research goal of the Musculoskeletal Quantitative Imaging Research (MQIR) interdisciplinary group in the UC San Francisco Department of Radiology and Biomedical Imaging, led by Sharmila Majumdar, PhD (director), and Thomas Link, MD, PhD (clinical director), Read More
Source: techexplorist.com Inverse problems are addressed in numerous areas of physics, with the analytic continuation of the imaginary Green’s function into the real frequency domain being an especially significant example. Be that as it may, the analytic continuation problem is poorly characterized, and presently, no analytic change for unraveling it is known. As a part Read More
Source: indiaeducationdiary.in Srinagar: The Week-long National Faculty Development Programme (FDP) on “Deep Learning and its Applications” was inaugurated at Amar Singh College, here today. The programme is organised by the College in collaboration with E&ICT Indian Institute of Technology, Roorkee Supported by Ministry of Electronics and Information Technology (MeitY), Government of India.Vice-Chancelleor, Cluster University Srinagar, Read More
Source: unite.ai A group of computer scientists at the University of Texas at Dallas have developed a new approach for defending against cybersecurity. Rather than blocking hackers, they entice them in. The newly developed method is called DEEP-Dig (DEcEPtion DIGging), and it entices hackers into a decoy site so that the computer can learn their tactics. The Read More
Source: menafn.com In 2012, a researcher Krizhevsky entered the renowned image classification contest – ImageNet with a Convolutional Neural Network called AlexNet designed by his team. And to everyone’s astonishment, AlexNet won the first prize by beating other contemporary techniques by a huge margin of accuracy. With this success, suddenly the AI research community became Read More
Source: deccanherald.com With the ease of access to the internet and mobile phones, people are embracing digital life than ever before. Now, users can hail a cab, transfer money, order food and do other stuff with just a few clicks on a handset’s screen, but you need to have an email ID to avail such Read More
Source: Distributing malware by attaching tainted documents to emails is one of the oldest tricks in the book. It’s not just a theoretical risk—real attackers use malicious documents to infect targets all the time. So on top of its anti-spam and anti-phishing efforts, Gmail expanded its malware detection capabilities at the end of last year to include more tailored Read More
Source: gigabitmagazine.com. As the fuel that powers their ongoing digital transformation efforts, businesses everywhere are looking for ways to derive as much insight as possible from their data. The accompanying increased demand for advanced predictive and prescriptive analytics has, in turn, led to a call for more data scientists proficient with the latest artificial intelligence Read More
Source: syncedreview.com In their wonderfully titled A Gentle Introduction to Deep Learning for Graphs, researchers from Italy’s University of Pisa present a clear and engaging tutorial on the main concepts and building blocks involved in neural architectures for graphs. Graphs are everywhere. In chemistry and material sciences for example they are used to represent the molecular structure Read More
Source: unite.ai A new study led by researchers at Linköping University demonstrates how an artificial neural network (ANN) can reveal large amounts of gene expression data, and it can lead to the discovery of groups of disease-related genes. The study was published in Nature Communications, and the scientists want the method to be applied within precision medicine and individualized Read More
Source: drugtargetreview.com An artificial neural network has revealed patterns in huge amounts of gene expression data and discovered groups of disease-related genes. The developers, from Linköping University, Sweden, hope that the method can eventually be applied within precision medicine and individualised treatment. The scientists created maps of biological systems based on how different proteins or genes Read More
Source: indiaeducationdiary.in Gandhinagar: Indian Institute of Technology Gandhinagar (IITGN) hosted the Association for Computing Machinery- India (ACM-India)’s annual event 2020 on February 15. The event saw an overwhelming participation of more than 1200 students, researchers, faculty members, and professionals of computer science and allied areas from all over the country. The prestigious event was graced Read More
Source: healthimaging.com Deep learning can segment white brain matter in PET/CT scans to help clinicians diagnose a variety of neurodegenerative disorders, according to a new study. A team of South Korean researchers created a type of artificial intelligence known as a generative adversarial network using an existing model called pix2pix, they said Feb. 10 in the Journal of Digital Read More
Source: aithority.com Deep Instinct, the first and only cybersecurity company to successfully apply end-to-end deep learning to predict, identify, and prevent cyberattacks, announced its $43 million Series C funding. The round was led by Millennium New Horizons, with participation from Unbound, the London-based investment firm founded by Shravin Mittal, along with LG, and existing investor Read More
Source: techcrunch.com The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with — and ideally block — increasingly sophisticated malicious hackers. Today, a startup that’s built a deep learning solution that it claims can both identify and stop even viruses that have yet to 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: zdnet.com Artificial intelligence has to go in new directions if it’s to realize the machine equivalent of common sense, and three of its most prominent proponents are in violent agreement about exactly how to do that. Yoshua Bengio of Canada’s MILA institute, Geoffrey Hinton of the University of Toronto, and Yann LeCun of Facebook, who Read More
Source: telanganatoday.com Helsinki: A new learning model for identifying sleep stages with exact precision as that of a physician has been identified by a recent study. The study was conducted by researchers of the University of Eastern Finland. Sleep is manually classified into five stages, which are wake, rapid eye movement (REM) sleep and three Read More
Source: venturebeat.com Facebook AI Research (FAIR) today unveiled PyTorch3D, a library that enables researchers and developers to combine deep learning and 3D objects. As part of the release, Facebook is also open-sourcing Mesh R-CNN, a model introduced last year capable of rendering 3D objects from 2D shapes in images of interior spaces. PyTorch3D was inspired by Mesh Read More
Source: businesskorea.co.kr The Korea Institute of Science and Technology Information (KISTI) and the Data Science Lab of Myongji University have selected the 10 most promising technological fields by using big data and artificial intelligence. The fields expected to show a very rapid growth until the mid-2020s include autonomous driving, energy, machine vision, biotechnology and robotics. Read More
Source: infoq.com Researchers from Google AI recently open-sourced the Reformer, a more efficient version of the Transformer deep-learning model. Using a hashing trick for attention calculation and reversible residual layers, the Reformer can handle text sequences up to 1 million words while consuming only 16GB of memory on a single GPU accelerator. In a paper accepted for oral presentation Read More
Source: securityboulevard.com Fresh off raising an additional $7 million in funding, Concentric has launched a tool that employs deep learning algorithms to enable cybersecurity teams to identify documents and repositories where sensitive data has been stored. Company CEO Karthik Krishnan said the Semantic Intelligence platform takes the place of relying on users to remember where documents containing Read More
Source: eletimes.com Transparency Market Research delivers key insights on the global deep learning chipset market. In terms of revenue, the deep learning chipset market is estimated to expand at a CAGR of ~24% during the forecast period, owing to numerous factors, regarding which TMR offers thorough insights and forecasts in its report on the deep Read More