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Source: europeanpharmaceuticalreview.com Computer scientists have leveraged deep-learning methods to develop Metabolite Translator, a computational tool that predicts what metabolites will result from interactions between enzymes and small molecules such as drugs. The tool, created at Rice University’s Brown School of Engineering (US) in the lab of Lydia Kavraki, was designed to enable pharmaceutical companies to Read More
Source: news-medical.net When you take a medication, you want to know precisely what it does. Pharmaceutical companies go through extensive testing to ensure that you do. With a new deep learning-based technique created at Rice University’s Brown School of Engineering, they may soon get a better handle on how drugs in development will perform in Read More
Source: i-programmer.info Researchers have devised a novel deep learning approach to repairing the damage suffered by old photographic prints. The project is open source and a PyTorch implementation is downloadable from GitHub. There’s also a Colab where you can try it out. We’ve encountered neural networks that can colorize old black and white shots, can Read More
Source: healthimaging.com A new deep learning model built from scratch can help radiologists quickly pinpoint arterial blockages responsible for stroke, likely speeding up the time to begin vital treatment. Brown University radiologists detailed their development Tuesday in Radiology, noting such blockages, known as large vessel occlusions (LVOs), account for an overwhelming percentage of ischemic strokes. Read More
Source: healthcareglobal.com Medical equipment manufacturer Wipro GE Healthcare has partnered with the Indian Institute of Science (IISc) to open a research lab. The lab is located at the Department of Computational and Data Sciences (CDS) in Bangalore. It will specialise in healthcare diagnostics, deep learning technology, ML and AI systems. Work will also be done Read More
Source: medicalxpress.com Psychiatrists typically diagnose autism spectrum disorders (ASD) by observing a person’s behavior and by leaning on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), widely considered the ‘bible’ of mental health diagnosis. However, there are substantial differences amongst individuals on the spectrum and a great deal remains unknown by science about the Read More
Source: news-medical.net Deep Longevity, recently acquired by Regent Pacific (HK:0575), a company developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels today announced the availability of Young.AI to key media, longevity researchers, and clinical partners. The company revealed the beta version of Read More
Source: siliconangle.com Israeli deep learning startup DeepCube Ltd., which has built software to accelerate the process of running machine learning models in the data center and on edge devices, said today it has raised $7 million in a new round of funding. The Series A round was led by Awz Ventures with participation from Koch Disruptive Read More
Source: analyticsinsight.net While deep learning is viewed as a small part of the field of artificial intelligence, it’s now a field that is by all accounts growing out of the AI space itself. Deep learning is the advancement of ‘thinking’ computer systems, called neural networks, and using it requires coding procedures unfamiliar to old-school developers. Read More
Source: aithority.com StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs), will reveal insights into optimizing Deep Neural Networks (DNNs) for multiple processors at the 2020 Embedded Vision Summit. During the “Designing Bespoke DNNs for Target Hardware” session, which will be held at 9:30am Pacific Time on September 17, R&D Read More
Source: healthitanalytics.com A deep learning system was able to choose the most high-quality embryos for in-vitro fertilization (IVF) with 90 percent accuracy, according to a study published in eLife. When compared with trained embryologists, the deep learning model performed with an accuracy of approximately 75 percent while the embryologists performed with an average accuracy of 67 percent. The Read More
Source: techxplore.com Overview of the system devised by the researchers. Credit: Fuchs et al. Over the past few decades, research teams worldwide have developed machine learning and deep learning techniques that can achieve human-comparable performance on a variety of tasks. Some of these models were also trained to play renowned board or videogames, such as Read More
Source: analyticsinsight.net The scale and the surge in attention to artificial intelligence is not a new concept as the ideology behind the human-machine collaboration has been floating around since the 1980s but various factors contributed to the idea being put on hold for a while especially the lack of attention and funding. Billions of dollars Read More
Source: entrepreneur.com These days, data drives everything in business. Not only does it inform business decisions, but it can actually be used to predict the future to some extent. Advents like machine learning and deep learning allow you to take the data you’ve gathered and project it into the future with greater accuracy, so you Read More
Source: english.cas.cn With the development of intelligent transportation, an effective vehicle management method is applied to track moving vehicles with the help of monitoring equipment. Video surveillance is the main way to obtain vehicle dynamic information. Thus, the accurate and robust vehicle tracking algorithm is urgently needed when the tracking target suffering from heavy occlusions, Read More
Source: metrology.news As Industry 4.0 takes hold, industrial automation and robotics are replacing many manual tasks in manufacturing. However, when it comes to visual quality inspection, most production lines still employ human workers in the tedious task of examining products and judging defects. The biggest drawback of manual visual inspection is that humans make mistakes. Read More
Source: marktechpost.com Hypatos, a Germany and Poland based automation startup, raised around $11.8 million in a seed funding round. Many companies like Blackfin Tech, UVC Partners, Grazia Equity, and Plug Ventures participated in the round. The company will use these funds to widen its scope of documents for automated document processing. Hypatos will also focus Read More
Source: phys.org The role of deep learning in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning that can more effectively identify nonlinear relationships in large datasets, extract patterns, emulate complex physical processes, and build predictive models. “Deep learning has had Read More
Source: Cognex Corporation recently introduced the In-Sight D900 embedded vision system. A first-of-its kind solution, the In-Sight D900 features Cognex’s ViDi deep learning software inside an In-Sight industrial-grade smart camera. The self-contained system is designed to solve a broad range of complex in-line inspection applications including optical character recognition (OCR), assembly verification, and defect detection. Read More
Source: thenextweb.com Researchers from the Queensland University of Technology (QUT) in Australia have developed an algorithm that detects misogynistic content on Twitter. The team developed the system by first mining 1 million tweets. They then refined the dataset by searching the posts for three abusive keywords: whore, slut, and rape. Next, they categorized the remaining 5,000 tweets as either Read More
Source:-.how2shout Many Python developers find it very difficult to carry out Machine Learning and Deep Learning stuffs in their laptops and computers because of the GPU requirements that are highly needed for a Deep Learning code to run smoothly and time efficiently. Due to this many Pythonists purchase new laptops and computers by spending huge Read More
Source:-analyticsinsight.net In the mid-twentieth century when the computer and its applications were starting to bring changes to the world, sociologist David Reisman had something stuck in his mind. He wondered what people would do once machine automation comes to effect and humans have no compulsion to do daily physical chores and strain their brain to Read More
Source:-analyticsinsight.net In the mid-twentieth century when the computer and its applications were starting to bring changes to the world, sociologist David Reisman had something stuck in his mind. He wondered what people would do once machine automation comes to effect and humans have no compulsion to do daily physical chores and strain their brain to Read More
Source: freemalaysiatoday.com Deep learning, a technology based on artificial neural networks, has revolutionised artificial intelligence in the space of a few years. But what exactly is it? Used by Siri, Cortana and Google Now to understand speech and recognise faces, deep learning is often confused with the concept of artificial intelligence (AI), so much so Read More
Source: discovermagazine.com Encountering altered videos and photoshopped images is almost a rite of passage on the internet. It’s rare these days that you’d visit social media and not come across some form of edited content — whether that be a simple selfie with a filter, a highly embellished meme or a video edited to add Read More
Source: miragenews.com The Center for Noise and Vibration Control at KAIST announced that their coughing detection camera recognizes where coughing happens, visualizing the locations. The resulting cough recognition camera can track and record information about the person who coughed, their location, and the number of coughs on a real-time basis. Professor Yong-Hwa Park from the Read More
Source: hcplive.com Ophthalmology could be the next specialty to look into utilizing new deep learning technology to screen and diagnose patients with ocular disorders. A team, led by Nihaal Mehta, MD, New England Eye Center, Tufts Medical Center, determined whether a model-to-data deep learning approach without needing to transfer any data can be applied in ophthalmology. Read More
Source: analyticsinsight.net Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Read More
Source: cio.com By now most of us understand that, in our current era, artificial intelligence (AI) and its subset machine learning (ML) have little to do with human intelligence. AI/ML is all about recognizing patterns in data and automating discrete tasks, from algorithms that flag fraudulent financial transactions to chatbots that answer customer questions. And Read More
Source: discovermagazine.com Deep in the bowels of the Smithsonian National Museum of American History in Washington, D.C., sits a large metal cabinet the size of a walk-in wardrobe. The cabinet houses a remarkable computer — the front is covered in dials, switches and gauges, and inside, it is filled with potentiometers controlled by small electric Read More
