GE Healthcare today launched more than 30 new, imaging intelligent applications and smart devices designed to drive efficiency in radiology departments, aiming to double productivity and cost savings for systems by 2025. For healthcare executives, the new offerings help systems to save costs, improve technology utilization, and increase patient volumes. Clinicians also will benefit from the new technologies through intuitive workflows, improved diagnostic confidence and less rework, allowing them to spend more time with patients. Healthcare inefficiencies lead to nearly $1 trillion of annual financial waste in the United States alone. 1 Healthcare executives report costs and transparency as their number one concern moving into next year and need new solutions to help solve these challenges. 2 Recognizing the opportunity to reduce waste and increase efficiency across the healthcare industry, GE Healthcare is presenting the following new intelligent applications and smart devices at the 105 th annual meeting of the Radiological Society of North America (RSNA). "Automation and smart technologies are not only the future of medical imaging but are essential as departments look to transform workflows and the patient experience," said Dr. Vincent Lombard, the first clinical adopter of Revolution Maxima with AI-based Auto Positioning 4, and a radiologist at Centre Imagery Jacques Callot.

Nvidia Corp. wants to make artificial intelligence a staple of the healthcare industry with a new distributed learning technique announced today that can train machine learning models while protecting patient privacy. AI holds great promise, but for industries such as healthcare where data privacy is of paramount importance, tapping into that potential is a big challenge. The problem is that any data that might be useful to train models is almost always confidential, which means it can't be shared with technology partners. Nvidia reckons it can solve this problem with its new Clara Federated Learning technique, which ensures that patient data remains within healthcare providers' systems at all times. Clara FL is a reference application for distributed AI training that's designed to run on Nvidia's recently announced EGX intelligent edge computing platform.

Combining the power of Canon Medical's Advanced intelligent Clear IQ Engine (AiCE) with Deep Learning Spectral Reconstruction imaging capabilities, Canon Medical Systems USA, Inc. introduces the Aquilion ONE / PRISM Edition, a spectral CT system designed for deep intelligence. The advanced system integrates artificial intelligence (AI) technology to maximize conventional and spectral CT capabilities and automated workflows while providing intelligent clinical insights to assist physicians in making more informed decisions across the patient's care cycle. The Aquilion ONE / PRISM Edition offers opportunity for innovation within medical imaging with the power to illuminate clinical insights and initiate business opportunities designed to improve patient outcomes. "The intelligent technologies that make up the Aquilion ONE / PRISM Edition give healthcare providers the clinical confidence they need to reach new heights – from both a clinical and business perspective," said Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA, Inc. "Canon Medical's deep learning reconstruction technology is pushing routine diagnostic imaging into the age of AI assisted imaging, revolutionizing patient care by enabling improved diagnostic confidence. We are committed to delivering products that aren't just a glimpse into the future of imaging - they are the future of imaging."

Fujitsu Laboratories Ltd. and Fujitsu Research and Development Center Co., Ltd. have innovated an AI technology for video-based behavioral analysis. Dubbed "Actlyzer", the tech can recognize a variety of subtle and complex human activities without relying on large amounts of training data. Deep learning technologies conventionally demand large amounts of video data for training systems to recognize individual behaviors, and video data must be collected from scratch in order to add each new behavior. This time-consuming process means that it can often take several months to introduce functional AI into the field. Taking advantage of the fact that human behaviors generally consist of a combination of basic movements and actions, (e.g.

Fethiye International Group "Helping Children in our Local Community" The FIG coffee morning will be held the first Thursday of every month at the Meydan Restaurant from 11am to 1pm.

Artificial Intelligence (AI) is a key driver for innovation in the global digital reality market, which includes immersive technologies such as virtual reality (VR), augmented reality (AR), X Reality (XR or Cross Reality) and Artificial Intelligence (AI) itself. Various reports project that advancements in technology such as 5G, artificial intelligence, edge computing, and robotics are expected to transform the augmented and virtual reality experiences in the near future. One by ResearchAndMarkets stated that: "The immersive technology market, including augmented and virtual reality, is expected to see huge growth in the next 5 years. Technological advancements such as 5G and artificial intelligence will transform the augmented and virtual experiences in the future. Some of the significant impacts of 5G across sectors could be enabling virtually crafted workplaces and fully interactive and emulating in-office work environments. Active companies in the markets this week include Micron Technology, Inc. (NASDAQ: MU), Hawkeye Systems, Inc. (OTCQB: HWKE), NVIDIA Corporation (NASDAQ: NVDA), Intel Corporation (NASDAQ: INTC), International Business Machines Corporation (NYSE: IBM). The report projected that: "The AR and VR market revenue is expected to reach $55.01 billion by 2021.

Architecture design has become a crucial component of successful deep learning. Recent progress in automatic neural architecture search (NAS) shows a lot of promise. However, discovered architectures often fail to generalize in the final evaluation. Architectures with a higher validation accuracy during the search phase may perform worse in the evaluation. Aiming to alleviate this common issue, we introduce sequential greedy architecture search (SGAS), an efficient method for neural architecture search. By dividing the search procedure into sub-problems, SGAS chooses and prunes candidate operations in a greedy fashion. We apply SGAS to search architectures for Convolutional Neural Networks (CNN) and Graph Convolutional Networks (GCN). Extensive experiments show that SGAS is able to find state-of-the-art architectures for tasks such as image classification, point cloud classification and node classification in protein-protein interaction graphs with minimal computational cost. Please visit https://sites.google.com/kaust.edu.sa/sgas for more information about SGAS.

GroGuru will exhibit their strategic irrigation management solutions at this year's Irrigation Show and Education Week in Las Vegas, NV on December 2-6, 2019. GroGuru is all about strategic irrigation management. "GroGuru helps farmers make more money by increasing crop yield while, at the same time, more efficiently using water and other scarce resources like fertilizer, energy and labor, in a sustainable way," said Patrick Henry, president and CEO at GroGuru. "We do this via soil monitoring using the GroGuru patented wireless underground system, WUGS, that enables the permanent installation of soil sensors in annual field crops like corn and soybeans, eliminating the need for annual installation and removal of sensors." GroGuru adds data in the cloud, then uses machine learning or AI to create recommendations to farmers about when and how much to irrigate.

Guerbet is a pioneer in the contrast-agent field, with more than 90 years' experience, and is a leader in medical imaging worldwide. The company offers a comprehensive range of pharmaceutical products, medical devices, and services for diagnostic and interventional imaging, to improve the diagnosis and treatment of patients. With 8% of revenue dedicated to R&D and more than 200 employees distributed among its centers in France, Israel, and the United States, Guerbet is a substantial investor in research and innovation. Guerbet (GBT) is listed on Euronext Paris (segment B – mid caps) and generated €790 million in revenue in 2018. For more information about Guerbet, please visit http://www.guerbet.com.