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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

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Source: intelligenttransport.com Autonomous vehicle software company Oxbotica has developed and deployed deepfake technology to help expose its autonomous vehicles to near-infinite variations of the same situation – without the need for genuine real-world testing of a location. Deepfaking uses deep learning artificial intelligence (AI) to generate fake photo-realistic images. Seeing beyond its potential to create Read More

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Source: analyticsinsight.net The idea of creating intelligent systems has always fascinated data science professionals. The advent of computers and technology uplifts the notion that an algorithm that can learn from itself and adapt to changing model inputs. The art of self-learning algorithms helping data science with valuable information is an uncharted territory that AI-powered neural networks would like Read More

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Source: aithority.com Intel’s Deep Learning Boost Technology (Intel DL Boost) is now the central feature of new general purpose and memory-optimized Azure Virtual Machines (VM). Microsoft has announced that the new Azure VMs are based on the second generation Xenon Platinum Cascade Lake (8272 CL) configuration, capable of running at 2.5 GHz and all-core turbo Read More

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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 Currently, the data collection methods being used are a bit outdated and time-consuming.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

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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

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Source: metrology.news In today’s manufacturing, robots deployed across various industries are mostly doing repetitive tasks. The robots’ overall task performance hinges on the accuracy of their controllers to track predefined motions. The ability of robots to handle unconstructed, complex environments, such as the flexible grasping of previously unknown objects or the assembly of new components, Read More

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Source: aithority.com Deep Learning Robotics Ltd., a leading technology company focused on robotics and automation solutions, announced that the United States Patent and Trademark Office has granted the company a new patent, No. US10,571,896. This robotic learning patent covers methods and components enabling a robot to autonomously improve its own performance by closely analyzing data associated to its previous Read More

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Source: aithority.com Deep Learning Robotics Ltd., a leading technology company focused on robotics and automation solutions, announced that the United States Patent and Trademark Office has granted the company a new patent, No. US10,571,896. This robotic learning patent covers methods and components enabling a robot to autonomously improve its own performance by closely analyzing data associated to its previous Read More

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Source: ifsecglobal.com The world is becoming more automated – from collaborative robots through to computer programs which can sift through thousands of documents almost instantaneously, organisations can now save time and money in new ways. The technology can now be used for necessary but tedious, time-consuming tasks that would take humans much longer and be Read More

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Source: offgridenergyindependence.com Using artificial intelligence and advanced cameras will help improve our understanding of how birds interact with photovoltaic arrays.  As more solar energy systems are installed scientists are quantifying the effects on wildlife. Current data collection methods are time-consuming, but the US Department of Energy’s (DOE) Argonne National Laboratory has proposed a solution. The lab has been awarded $1.3 Read More

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Source: optocrypto.com There are other areas of AI that look promising, such as Deep Learning. Remember that top companies like Google’s DeepMind and OpenAI are already working on this approach. Making the breakthrough. So what is Deep Learning? Well, interestingly, it’s not new. “Deep learning is a classic behavioral phenomenon widely known in the psychological literature Read More

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Source: bloombergquint.com A group of robotics experts at Singapore’s Government Technology Agency (GovTech) is working on a robotics technology stack that is set to unify the fragmented landscape of software development tools used to write robot software. That landscape is being dominated by the Robotic Operating System (ROS) framework from the open source community, Nvidia’s Isaac platform, and customised Read More

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Source: techxplore.com Using artificial intelligence and advanced cameras will help improve our understanding of how birds interact with photovoltaic arrays. As more solar energy systems are installed across the United States, scientists are quantifying the effects on wildlife. Current data collection methods are time-consuming, but the U.S. Department of Energy’s (DOE) Argonne National Laboratory has proposed a Read More

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Source: scitechdaily.com Researchers in Italy have melded the emerging science of convolutional neural networks (CNNs) with deep learning — a discipline within artificial intelligence — to achieve a system of market forecasting with the potential for greater gains and fewer losses than previous attempts to use AI methods to manage stock portfolios. The team, led Read More

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Source: rtinsights.com Microsoft and Intel are collaborating on a research project that aims to detect malware threats through the application of deep learning techniques. The project, which has been ongoing for several months, published its first paper earlier this month. In it, the researchers demonstrated a technique that converts malware binary form into grayscale images, which are Read More

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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

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Source: eetindia.co.in Today, there is a lot of talk about artificial intelligence (AI). Any technological, electronic, recreational and IT sector is increasingly exploring AI. In particular, the world’s attention is focused on deep learning, a specific sub-field of AI. It involves extrapolations of expressions from our brain, neural networks and virtual realities. DeepCube provides a software-based Read More

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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

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Source: news.mit.edu Tissue biopsy slides stained using hematoxylin and eosin (H&E) dyes are a cornerstone of histopathology, especially for pathologists needing to diagnose and determine the stage of cancers. A research team led by MIT scientists at the Media Lab, in collaboration with clinicians at Stanford University School of Medicine and Harvard Medical School, now shows that Read More

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Source: blogs.oracle.com Chatbots and virtual assistants that don’t provide the right answers to customer queries can result in a frustrating digital experiences for customers – particularly those chatbots programmed without deep learning capabilities. Deep learning is essential for automated chatbots to understand natural language questions and to provide the right answers, which is something that AI-powered Read More

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Source:rtinsights.com Artificial intelligence (AI) refers to the simulation of human intelligence in systems programmed to think like humans and mimic their actions. AI includes a broad range of technologies, including cognitive computing, deep learning, expert systems, machine learning, natural language processing, and IBM Watson.   The common thread across these areas, and all of AI, for that matter, is the ability to Read More

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Source:laserfocusworld.com Millions of optical coherence tomography (OCT) images are acquired each year, providing anatomical insights to diagnose numerous medical conditions, including diabetic macular edema (DME). Deep learning is a form of artificial intelligence (AI) in which large amounts of data are processed to combine key factors and predict an output. Deep learning needs an ample database to reach conclusions. Read More

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Artificial Intelligence