Artificial Intelligence | sciencenewsnet.in

Jefferson Lab Launches Virtual AI Winter School for Physicists

January 11, 2021 sarah Jonas AI, Artificial Intelligence, Machine Learning, Nuclear Physics, Particle Physics

Artificial intelligence is a game-changer in nuclear physics, able to enhance and accelerate fundamental research and analysis by orders of magnitude. DOE’s Jefferson Lab is exploring the expanding synergy between nuclear physics and computer science as it co-hosts together with The Catholic University of America and the University of Maryland a virtual weeklong series of lectures and hands-on exercises Jan. 11-15 for graduate students, postdoctoral researchers and even “absolute beginners.”

Feature

Advanced tools reveal critical infrastructure connections and help mitigate disasters

January 11, 2021 sarah Jonas Artificial Intelligence, Geospatial Information Systems, High Performance Computing, Infrastructure, Machine Learning

A cross-platform Argonne collaboration is optimizing a tool developed after Hurricane Maria to find essential connections between critical infrastructure that will help owners and operators plan for and mitigate a variety of potential hazards.

Research Results

Robot Displays a Glimmer of Empathy to a Partner Robot

January 8, 2021 sarah Jonas Artificial Intelligence, Empathy, Robots, Theory of Mind

Like a longtime couple who can predict each other’s every move, a Columbia Engineering robot has learned to predict its partner robot’s future actions and goals based on just a few initial video frames. The study, conducted at Columbia Engineering’s Creative Machines Lab led by Mechanical Engineering Professor Hod Lipson, is part of a broader effort to endow robots with the ability to understand and anticipate the goals of other robots, purely from visual observations.

Feature

10 ways Argonne science is combatting COVID-19

January 8, 2021 sarah Jonas Advanced Photon Source (APS), Advanced Protein Characterization Facility, Argonne Leadership Computing Facility, Argonne Leadership Computing Facility Science, Artificial Intelligence, Biology, Biomedical Computing, Cell Biology, Center for Nanoscale Materials (CNM), Computational Biology, Computational Methods, Coronavirus, covid 19, Data Science/Data Analysis, data sciences, Diseases, Machine Learning, Manufacturing Program, Modeling And Simulation, Molecular Biology, Molecular Dynamics, pharmacology, Protein Science, Structural Biology, visualization and data analysis, X-ray imaging, X-Ray Science and Technology

Argonne scientists and research facilities have made a difference in the fight against COVID-19 in the year since the first gene sequence for the virus was published.

Feature

Initiative to employ AI in behavioral health monitoring

January 5, 2021 sarah Jonas AI for Health, Artificial Intelligence

Behavioral health issues like depression and bipolar disorder don’t often manifest with the kinds of clear, outward symptoms that presage the common cold. But technologies such as smartphones and smartwatches could be used to detect subtle changes in behavior and help willing individuals – in coordination with their doctors – better monitor and manage their conditions.

Research Results

UCI researchers use deep learning to identify gene regulation at single-cell level

January 5, 2021 sarah Jonas Artificial Intelligence, Cancer, Cells, Collaboration, Computer Science, DNA, Faculty, Health, Health Centers, Interdisciplinary, Machine Learning, math, NSF, Research

Irvine, Calif., Jan. 5, 2021 — Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving.

Research Results

Machine Learning Improves Particle Accelerator Diagnostics

January 5, 2021 sarah Jonas Artificial Intelligence, Machine Learning, Nuclear Physics, particle accelerator, Particle Physics

Operators of Jefferson Lab’s primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time. An analysis of the results of the first field test of the custom-built machine learning system was recently published in the journal Physical Review Accelerators and Beams.

Research Results

Using artificial intelligence to find new uses for existing medications

January 4, 2021 sarah Jonas Artificial Intelligence, Bioinformatics, Computer Science, Data Analytics, drug repurposing, Health Care, Medication

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

Research Results

Artificial intelligence predicts gestational diabetes in Chinese women

December 22, 2020 sarah Jonas Artificial Intelligence, Gestational Diabetes, Machine Learning

Machine learning, a form of artificial intelligence, can predict which women are at high risk of developing gestational diabetes and lead to earlier intervention, according to a new study published in the Endocrine Society’s Journal of Clinical Endocrinology & Metabolism.

Announcement

Case Western Reserve University teams with Boehringer Ingelheim on artificial intelligence solutions for precision medicine

December 18, 2020 sarah Jonas Artificial Intelligence, Case Western Reserve University, Pharmaceutical

The Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and Boehringer Ingelheim, one of the world’s largest pharmaceutical companies will leverage the power of CCIPD’s image computing AI solutions to identify patterns and links between cellular response and underlying molecular drivers, with the goal of advancing therapeutics for diseases with no satisfactory treatment option.

Research Results

Artificial Intelligence Algorithm Can Predict Outcomes of COVID-19 Patients With Mild Symptoms in Emergency Rooms

December 16, 2020 sarah Jonas Artificial Intelligence, Biomedical Science, Coronavirus, COVID-19, Emergency Medicine, Emergency Room, emergency room care, Icahn School of Medicine at Mount Sinai, Imaging and Diagnostics, Mount Sinai Health System, Radiology and imaging

Technology may lead to quicker triage and treatment based on patient data and scans

Research Results

Study IDs Four Things That Make People Feel Good About Using Chatbots

December 15, 2020 sarah Jonas Artificial Intelligence, Business, consumer loyalty, Internet commerce, Privacy, Security, user experience

A recent study has identified four factors that predict user satisfaction with customer service chatbots. The study also found that a positive chatbot experience was associated with customer loyalty, highlighting the importance of the findings to corporate brands.

← Previous