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UrduDaily life during a pandemic means social distancing and finding new ways to remotely connect with friends, family and co-workers. And as we communicate online and by text, artificial intelligence could play a role in keeping our conversations on track, according to new Cornell University research.
Tag: AI
Artificial intelligence could help predict future diabetes cases
A type of artificial intelligence called machine learning can help predict which patients will develop diabetes, according to an ENDO 2020 abstract that will be published in a special supplemental section of the Journal of the Endocrine Society.
Artificial intelligence improves X-ray identification of patients with broken bones
Artificial intelligence that can “read” electronic radiology reports and flag patients with broken bones who are at risk of osteoporosis outperformed the traditional manual method of health care professionals reading X-ray reports, a new study finds. The results were accepted for presentation at ENDO 2020, the Endocrine Society’s annual meeting, and will be published in a special supplemental section of the Journal of the Endocrine Society.
Researchers develop early warning system to fight disinformation online
The Notre Dame project is an effort to combat the rise of coordinated social media campaigns to incite violence, sew discord and threaten the integrity of democratic elections.
April’s Edition of SLAS Technology is Accessible
Just released is the April edition of SLAS Technology featuring cover article, “CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence,” by Agata Blasiak, Ph.D., Jeffrey Khong, Ph.D., and Theodore Kee, Ph.D., (University of Singapore and The N.1 Institute for Health).
A Tactile Robot Finger with No Blind Spots
Researchers at Columbia Engineering announced today that they have introduced a new type of robotic finger with a sense of touch. Their finger can localize touch with very high precision—<1mm—over a large, multicurved surface, much like its human counterpart.
Beating Cancer – One Patient at a Time
Like most people, John Gifford wasn’t looking forward to a colonoscopy when he arrived on the UCI Medical Center campus in Orange in 2018. The Riverside man, 65, was concerned about his family history of colorectal cancer and had dutifully scheduled an appointment with UCI Health gastroenterologist Dr. William Karnes. The exam turned out to be intriguing and enlightening – a far cry from what one expects during a colonoscopy, Gifford recalls with a laugh.
Consider workplace AI’s impact before it’s too late, study says
The consequences of workplace automation will likely impact just about every aspect of our lives, and scholars and policymakers need to start thinking about it far more broadly if they want to have a say in what the future looks like, according to a new paper co-authored by a Cornell University researcher.
ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time
To better leverage cancer data for research, scientists at ORNL are developing an artificial intelligence (AI)-based natural language processing tool to improve information extraction from textual pathology reports. In a first for cancer pathology reports, the team developed a multitask convolutional neural network (CNN)—a deep learning model that learns to perform tasks, such as identifying key words in a body of text, by processing language as a two-dimensional numerical dataset.
Predicting chaos using aerosols and AI
Using aerosols as ground truth, researchers at the McKelvey School of Engineering at Washington University in St. Louis have developed a deep learning method that accurately simulates chaotic trajectories — from the spread of poisonous gas to the path of foraging animals.
Bridging the gap between AI and the clinic Rapprocher l’IA de la pratique clinique
Researchers trained machine learning algorithms on data from more than 62,000 patients with a meningioma. Their goal was to find statistical associations between malignancy, survival, and a series of basic clinical variables including tumour size, tumour location, and surgical procedure.
Des chercheurs ont entraîné des algorithmes d’apprentissage automatique à partir des données de plus de 62 000 patients ayant un méningiome. L’objectif était de déceler des associations statistiques entre la malignité, le temps de survie et d’autres variables cliniques de base telles que la taille de la tumeur, son emplacement et la nature de l’intervention chirurgicale effectuée.
New Robot Does Superior Job Sampling Blood
In the future, robots could take blood samples, benefiting patients and healthcare workers alike. A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device.
We Know AI is Biased; This Design Approach May Help Fix It
Bias in artificial intelligence is well established. Researchers are now proposing that developers incorporate the concept of “feminist design thinking” into their process as a way of improving equity – particularly in the development of software used in hiring.
AI-analyzed blood test can predict the progression of neurodegenerative disease
Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient’s progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.
Using voice analysis to track the wellness of patients with mental illness
A new study finds that an interactive voice application using artificial intelligence is as accurate at tracking the wellbeing of patients being treated for serious mental illness as their physicians.
Who’s Liable? The AV or the human driver?
Researchers at Columbia Engineering and Columbia Law School have developed a joint fault-based liability rule that can be used to regulate both self-driving car manufacturers and human drivers. They propose a game-theoretic model that describes the strategic interactions among the law maker, the self-driving car manufacturer, the self-driving car, and human drivers, and examine how, as the market penetration of AVs increases, the liability rule should evolve.
Notre Dame Expert: Host of problems with Facebook deepfake ban
Tim Weninger, associate professor in the Department of Computer Science and Engineering at the University of Notre Dame, says Facebook’s newly announced ban on deepfakes is good news for democracy but presents a number of challenges in the fight against…
The Rise of Social Robots: How AI Can Help Us Flourish
MIT Professor Cynthia Breazeal, a keynote speaker at a recent Psychology of Technology Conference led by Darden Professor Roshni Raveendhran, shares insights about a new generation of social robots and their impact on human flourishing.
Veho Institute launches, establishes center at Cornell Tech
Cornell Engineering has launched the Veho Institute for vehicle intelligence, formally partnering Cornell with Italian universities and luxury automakers as well as establishing a new academic center at Cornell Tech.
Researchers identify seven types of fake news, aiding better detection
To help people spot fake news, or create technology that can automatically detect misleading content, scholars first need to know exactly what fake news is, according to a team of Penn State researchers. However, they add, that’s not as simple as it sounds.
AI for Plant Breeding in an Ever-Changing Climate
In this Q&A, Oak Ridge National Laboratory’s Dan Jacobson talks about his team’s work on a genomic selection algorithm, his vision for the future of environmental genomics, and the space where simulation meets AI.
Artificial Intelligence Tool Predicts Life Expectancy in Heart Failure Patients
Researchers at University of California San Diego School of Medicine, as well as a diverse team of cardiologists and physicists, developed a machine learning algorithm to predict the life expectancy in heart failure patients.
NUS deep-learning AI system puts Singapore on global map of big data analytics
⎯ A team of researchers from the National University of Singapore (NUS) has put Singapore on the global map of Artificial Intelligence (AI) and big data analytics. Their open-source project, called Apache SINGA, “graduated” from the Apache Incubator on 16 October 2019 and is now Southeast Asia’s first Top-Level Project (TLP) under the Apache Software Foundation, the world’s largest open-source software community.
More Than Half Of Consumers Want To Use Voice Assistants For Healthcare
More Than Half Of Consumers Want To Use Voice Assistants For Healthcare
MITRE’s Expertise Across AI, Cybersecurity, and Genetic Research Highlighted in Leading Publications
Demonstrating expertise across many domains including cybersecurity, health research, and defense, experts from MITRE are regularly published in leading journals. Invited to enter the company’s annual Best Paper Competition, this year’s winning submissions were announced.
Algorithm Identifies Cancer Patients in Need of Advance Care Planning Conversations
The newly developed system prioritizes patients so that cancer doctors have conversations about their values and goals before it is too late.
Nation’s First Campus-Wide Alexa Program Takes Another Pioneering Step Forward
Saint Louis University Continues Innovative Efforts to Enhance Campus Life for Students Through Voice and AI Technology
Digital Transformation of Healthcare Will Be the Focus of ISPOR Europe 2019
ISPOR—the professional society for health economics and outcomes research—will begin its ISPOR Europe 2019 2-6 November 2019 in Copenhagen, Denmark.
DHS S&T Awards Colorado Start-up $147K for Intelligent Counting and Measuring Platform
DHS S&T awarded $147,413 to KickView Corporation to adapt their multi-sensor artificial intelligent (AI) software platform to provide real-time data analysis of passenger flow in the international customs processing areas of airports.
PNNL, Sandia, and Georgia Tech Join Forces in AI Effort
Scientists from DOE’s Pacific Northwest National Laboratory, DOE’s Sandia National Laboratories, and the Georgia Institute of Technology will collaborate on solutions to some of the most challenging problems in AI today, thanks to $5.5 million in funding from DOE.
Researchers from TU Delft discover real Van Gogh using artificial intelligence
What did Vincent van Gogh actually paint and draw? Paintings and drawings fade, so researchers from TU Delft are using deep learning to digitally reconstruct works of art and discover what they really looked like. ‘What we see today is not the painting or drawing as it originally was,’ says researcher Jan van der Lubbe.
AI System Accurately Detects Key Findings in Chest X-Rays of Pneumonia Patients Within 10 Seconds: Study Finds Promise of Faster Treatment
From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied that utilizes artificial intelligence took to accurately identify key findings in chest X-rays of patients in the emergency department suspected of having pneumonia.
Prediction System Significantly Increases Palliative Care Consults
A trigger system powered by predictive analytics increased palliative care consultations by 74 percent after implementation
Artificial Intelligence/Machine Learning are rapidly changing. The materials research community is just beginning to utilize AI and ML in the research process, and it is already clear that this represents a potentially game changing development.
Dr. Benji Maruyama is a Principal Materials Research Engineer in the Air Force Research Laboratory, Materials & Manufacturing Directorate. He is the Leader of the Flexible Materials and Processes Research Team, and leads research on the synthesis and processing science…
Singapore researchers reveal inflated performance measurements in current enhancer-promoter interaction prediction methods
A study conducted by researchers from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore and the School of Biological Sciences at Nanyang Technological University, Singapore (NTU Singapore) revealed a common deficiency in existing artificial intelligence methods used to predict enhancer–promoter interactions, that may result in inflated performance measurements.