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 Currently, the data collection methods being used are a bit outdated and time-consuming.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
Category: Deep Learning
Deep Learning
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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
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: aithority.com In late 2015, NLP Logix Lead Data Scientist, Matt Berseth, entered the company into the Camelyon16 Grand Challenge. The Camelyon16 was a challenge for the medical and computer science communities to come together to train a computer to identify breast cancer tumors, at a level at or above the highest trained pathologists in the Read More
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
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
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: 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
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
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
Source: xinhuanet.com JERUSALEM, June 3 (Xinhua) — Israeli researchers have developed a deep-learning framework to predict brain’s age, Ben-Gurion University (BGU) said Wednesday. This method may help trace the brain’s development and provide early warning of diseases, which are essential steps toward developing effective treatments. The brain’s age is not necessarily the same age as Read More
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
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
Source: eetasia.com In today’s world, data is king. The most highly valued companies in the world, whether Amazon, Apple, Facebook, Google, Walmart, or Netflix, have one thing in common: data is their most valuable asset. All of these companies have put that data to work using deep learning (DL). No matter what business you’re in, 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: 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
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: expresscomputer.in As per a recent report, the global process automation market size was somewhat around $138 billion in 2016 and is expected to grow at a CAGR of 6.6% to $178 billion in 2020. Now, with the current pandemic, it’s quite debatable whether that’s achievable. However, startups have been strongly rooting for leveraging AI Read More
Source: gadget.co.za Computer vision (CV) is aiding numerous promising applications and revolutionizing the way people do things. According to new research from Omdia, the proof-of-concepts that started a few years ago are now going into production, with deployments across a wide range of applications. Many businesses are realizing the value of vision and are starting Read More
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
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
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
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
Source: aithority.com Over the years, containers became essential as they give more control to developers over resources and managing apps on the cloud, like Azure or AWS enabling them to create powerful, scalable applications and without spending too much money on storage, networking and compute resources. Such cloud natives are serving enterprise customers to get Read More
Source: datacentrenews.eu Super Micro Computer has announced two new systems designed for artificial intelligence (AI) deep learning applications that leverage the third-generation NVIDIA HGX technology with the new NVIDIA A100 Tensor Core GPUs as well as full support for the new NVIDIA A100 GPUs across the company’s broad portfolio of 1U, 2U, 4U and 10U Read More
Source: kmworld.com The most appreciative advancements in statistical AI, the ones with the most meaning and potential to improve data’s worth to the enterprise, are deep learning deployments of computer vision and natural language technologies. The distinctions between these applications involve much more than image recognition versus that of speech or language. Horizontal computer vision Read More
Source: analyticsinsight.net Over the last few years, deep learning has seen a huge uptake in popularity in businesses and scientific applications as well. It is defined as a subset of artificial intelligence that leverages computer algorithms to generate autonomous learning from data and information. Deep learning is prevalent across many scientific disciplines, from high-energy particle 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: 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