Source – https://www.statnews.com/ Assistive technologies such as handheld tablets and eye-tracking devices are increasingly helping give voice to individuals with paralysis and speech impediments who otherwise would not be able to communicate. Now, researchers are directly harnessing electrical brain activity to help these individuals. In a study published Wednesday in the New England Journal of Medicine, researchers Read More
Tag: researchers
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Source – https://www.dailyuw.com/ A UW Allen School team recently published an article in Nature Machine Intelligence finding models predicting COVID-19 diagnosis from X-rays are relying on shortcuts. Several research groups have developed artificial intelligence (AI) models to diagnose COVID-19 based on chest radiography, with the intention of increasing COVID-19 testing accessibility. When UW M.D. and Ph.D. students Alex Read More
Source – https://www.eurekalert.org/ The enormous potential of Big Data has already been demonstrated in areas such as financial services and telecommunications. An international team of researchers led by the IPK Leibniz Institute has now tapped the potential of big data for the first time on a large scale for plant research. To this end, data Read More
Source – https://analyticsindiamag.com/ Most NLP researchers prioritise the development of deep learning models over the quality of training data. The relative lack of attention results in training data picking up spurious patterns, social biases, and annotation artefacts. Data curation is the organisation and integration of data collected from multiple sources. The process involves authentication, archiving, management, preservation Read More
Source – https://www.eletimes.com/ Researchers from the University of Toronto and LG AI Research have developed an “explainable” artificial intelligence (XAI) algorithm that can help identify and eliminate defects in display screens. The new algorithm, which outperformed comparable approaches on industry benchmarks, was developed through an ongoing AI research collaboration between LG and U of T that Read More
Source – https://www.imperial.ac.uk/ Researchers have used advanced AI and large sets of genomic data to unveil how humans have adapted to recent diseases. The method could also be applied to new pathogens such as the coronavirus that causes COVID-19, helping identify which gene mutations may be associated with more severe cases of the disease. The Read More
Source – https://www.gilmorehealth.com/ Artificial intelligence (AI) has made it possible for the first time to create fully artificial human genome sequences that are indistinguishable from the DNA of real donors. A European team just created entire sequences of human DNA, using this AI. Their work was published in the journal PLOS Genetics. An algorithm that Read More
Source – https://www.healtheuropa.eu/ Researchers say that machine learning could help guide healthcare workers’ treatment decisions for lung cancer patients after developing a model that is 71% more accurate at predicting survival expectancy of patients. A team of Penn State Great Valley researchers conducted a study in which they developed a deep learning model that is more than Read More
Source: analyticsinsight.net Could giving robots voice help them learn human commands? Robots have become an integral part of human’s daily lives. They help us in numerous ways, from performing complex tasks to lifting heavy weights and assisting the elderly, playing with kids, and entertaining people at events. They can interact with people in any scenario. However, Read More
Source: unite.ai Recently a study was published in the journal Nature Chemistry, detailing the outcome of research intended to calculate the ground state of the Schrödinger equation in quantum chemistry. The problem was solved with the application of artificial intelligence techniques, and the success of the study holds major implications for quantum chemistry. The current method of determining the Read More
Source: analyticsinsight.net The chaotic itinerancy is a closed-loop pathway through high-dimensional state space of neural activity, directing cortex in sequence with quasi-attractors. Over the years researchers have created robotic models with attributes, similar to humans. Robotic models which can hear, sense, emotionally support, blink and fight against abuse, are getting heavily researched and deployed in Read More
Source: webwire.com/ Deep learning is everywhere. This branch of artificial intelligence curates your social media and serves your Google search results. Soon, deep learning could also check your vitals or set your thermostat. MIT researchers have developed a system that could bring deep learning neural networks to new — and much smaller — places, like Read More
Source: venturebeat.com UC Berkeley AI researchers say they’ve created AI for autonomous vehicles driving in unseen, real-world landscapes that outperforms leading methods for delivery robots driving on sidewalks. Called LaND, for Learning to Navigate from Disengagements, the navigation system studies disengagement events, then predicts when disengagements will happen in the future. The approach is meant Read More
Source: analyticsinsight.net Researchers unveiled an AI system that has key advantages over previous deep learning models. Deep learning, a subset of the broad field of AI, refers to the engineering of developing intelligent machines that can learn, perform and achieve goals as humans do. Over the last few years, deep learning models have been illustrated to outpace conventional Read More
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: 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: news.psu.edu UNIVERSITY PARK, Pa. — If you’ve ever played an online video game, you’ve likely competed with a bot — an AI-driven program that plays on behalf of a human. Many of these bots are created using deep reinforcement learning, which is the training of algorithms to learn how to achieve a complex goal 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: expresscomputer.in As the COVID-19 crisis continues to develop, researchers around the world are attempting to find the most effective treatment to combat the poorly understood virus behind this disease. Traditionally, when dangerous new bacterial and viral infections emerge, the response is to develop a treatment that combines several different drugs. However, this process is Read More
Source: expresscomputer.in Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. They leveraged AI to speed up the search for the key material in a new catalyst that converts carbon dioxide (CO2) into ethylene Read More
Source: clearpathrobotics.com Clearpath teams up with Boston Dynamics to offer ROS-enabled Spot to Robotics Researchers Over the past 10 years, Clearpath has been enabling robotics research and development with our rugged, fully customizable and ROS-supported wheeled robots. Today we are excited to extend this same support to Boston Dynamics’ Spot. Through a partnership with Boston Read More
Source: expresscomputer.in Cornell University engineers and researchers are designing the nation’s first statewide Internet of Things public infrastructure. Thanks to a $1.5 million grant awarded by the National Science Foundation, Cornell faculty will collaborate with community partners around New York – through Cornell Cooperative Extension (CCE) in each county – to set up networks based Read More
Source: designnews.com Robots have come a long way in their functionality, but there are still many sensing capabilities that can’t be achieved by these systems that compare to how humans interact with their environments. To solve this issue, researchers at the National University of Singapore (NUS) have created a complex artificial brain system called NeuTouch Read More
Source: cordis.europa.eu Designing algorithms for more challenging data Machine Learning researchers often have to overcome the ‘sim-to-real’ transfer, where algorithmic feats accomplished in computer simulations can be repeated in test performances. DESIRE has produced a data-driven, robust decision-making algorithm to achieve just that. Advancements in computing, such as the game AlphaGo, both rely on and Read More
Source: Researchers Ghose and Prevost created a deep learning algorithm which, given a silent video, can generate a realistic sounding synchronized soundtrack. Frequently, movies had added sound effects which were not recorded during after the recording to make it feel more realistic in a process called “Foley”. Researchers at the university of Texas turned to deep Read More
Source: unite.ai One of the less glamorous aspects of artificial intelligence is that it often requires a large amount of processing power and therefore it often has a large energy footprint. Recent work done by researchers at UCL has determined a method of improving an AI’s energy efficiency. Neural networks and machine learning are powerful Read More
Source: malaysiasun.com Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by the University of Warwick scientists. For the first time, astronomers have used a process based on machine learning, a form of artificial intelligence, to analyse a sample of potential planets and determine which ones are real and Read More
SOURCE:-eurekalert Researchers from Skoltech, INRIA and the RIKEN Advanced Intelligence Project have considered several state-of-the-art machine learning algorithms for the challenging tasks of determining the mental workload and affective states of a human brain. Their software can help design smarter brain-computer interfaces for applications in medicine and beyond. The paper was published in the IEEE Read More
Source: expresscomputer.in Giving robots, who currently rely on vision and touch to move around, power to hear sounds and predict the physical properties of objects around them can be a game changer, say researchers including two of Indian origin. People rarely use just one sense to understand the world, but robots usually only rely on Read More