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UrduChulalongkorn University together with the Technopreneurship and Innovation Program (CUTIP), Graduate School Chula presented “The Second Chulalongkorn University President’s Distinguished Speakers” on July 19, 2024, from 5:30pm – 9:00pm at the 20th floor of Chaloem Rajakumari 60 Building (Chamchuri 10) Building with Prof. Dr. Wilert Puriwant, acting President of Chulalongkorn University delivering the opening remarks.
Tag: artificial intelligence (AI)
Researchers develop state-of-the-art device to make artificial intelligence more energy efficient
Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.
Using AI, CIPHER bird flu study shows greater antibody evasion in newer H5N1 strains
University of North Carolina at Charlotte scholars have found evidence that the latest variants of H5N1 influenza — commonly known as avian or bird flu — are better at evading antibodies, including those of humans, than previous iterations of the virus.
ETRI Breathes Digital Life into Cultural Heritage
South Korean researchers are revitalizing the nation’s world-class cultural heritage through digital transformation. By collaborating with museums, they are bringing the rich history and culture of Korea to life using AI-based technology development.
Human or AI robot? Who is fairer on the service organizational frontline
Abstract Research has focused on exploring the distinction between human employees and AI robots. However, little is known about customer perceptions of service fairness towards AI robots (vs. human employees). A mixed-methods approach was adopted including a qualitative study which…
Artificial intelligence and consumer behavior: From predictive to generative AI
Abstract Since the introduction of ChatGPT, the leading example of Generative Artificial Intelligence (GenAI), the research community and the general public have been captivated by GenAI’s remarkable advances in performance, and its ability to both imitate and, in some respects,…
LANGaware awarded Patient Engagement Solutions agreement with Premier, Inc. for Early Detection of Cognitive and Behavioral Health Diseases
LANGaware, a pioneering AI-driven healthcare technology company, has been awarded a national group purchasing agreement for Patient Engagement Solutions with Premier, Inc.
The Challenges & Opportunities of Creating Policy in the New Age of Evolving Technology
One GW professor says technology at the intersection of economic, security, and sustainability imperatives create both challenges and opportunities in creating effective policies moving forward.
Mapping the prestige and social value of occupations in the digital economy
Abstract With the emergence of the digital economy, the occupational landscape in many countries has undergone major transformations. While scholars have started to study the working conditions of digital economy occupations such as app-based food delivery couriers and social media…
Call for Papers: Theme Issue: Artificial Intelligence in Oncology
JMIR Publications invites submissions to a new theme issue titled “Artificial Intelligence in Oncology” in its premier open access journal JMIR Bioinformatics and Biotechnology indexed in PubMed Central and PubMed, SCOPUS, Sherpa/Romeo, DOAJ and EBSCO/EBSCO Essentials.
How trust and attachment styles jointly shape job candidates’ AI receptivity
Abstract Despite the growing application of artificial intelligence in hiring practices, job applicants still express general reservations about the use of this technology. What factors help to explain this low acceptance rate and are all job applicants equally affected? Across…
Study: Algorithms Used by Universities to Predict Student Success May Be Racially Biased
Predictive algorithms commonly used by colleges and universities to determine whether students will be successful may be racially biased against Black and Hispanic students, according to new research published today in AERA Open, a peer-reviewed journal of the American Educational Research Association.
Researchers develop an AI model that predicts Continuous Renal Replacement Therapy survival
A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on Continuous Renal Replacement Therapy (CRRT).
John A. Morren, MD, Selected to Speak at the 2024 AANEM Annual Meeting
The American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), is excited to announce John A. Morren, MD, as a plenary speaker at the 2024 AANEM Annual Meeting Oct. 15-18, in Savannah, Georgia.
AI-powered tool helps doctors detect rare diseases
UCLA Health and UCSF researchers create artificial intelligence program to help diagnose and manage rare and genetic diseases.
Can AI predict the impact of its implementation in greenhouse farming?
Abstract The integration of Artificial Intelligence offers transformative solutions to modern-day challenges, especially in sectors like agriculture that are pivotal for human sustenance. This study underscores the profound impact of Artificial Intelligence in conditioned agricultural practices within greenhouses, based on…
Empathic voice assistants: Enhancing consumer responses in voice commerce
Abstract Artificial intelligence (AI)-enabled voice assistants (VAs) are transforming firm-customer interactions but often come across as lacking empathy. This challenge may cause business managers to question the overall effectiveness of VAs in shopping contexts. Recognizing empathy as a core design…
Cedars-Sinai Advocates for LGBTQ+ Inclusion in Education, Research
A team of investigators in Cedars-Sinai’s Department of Computational Biomedicine is spotlighting the importance of diversity in science, technology, engineering and math (STEM) education and artificial intelligence (AI) research.
How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability
Abstract Despite the advancement of algorithm-based AI transforming business and society, there is growing evidence of service failures caused by algorithmic mistakes. Due to the “black box” nature of algorithmic decisions, consumers are frustrated not only by the mistakes themselves…
Researchers at the University of Tromsø develop novel AI algorithm for analyzing microfossils
Researchers have developed a method for detecting and analysing microfossils automatically from microscope images using AI. Microfossil analysis is important both for industry and research to gain an understanding of the subsurface, and to understand the past geological time period and the past climate.
New prompt-based technique to enhance AI security
A team of researchers has introduced a method using text prompts to improve the security of AI systems against cyber threats, aiming to enhance safety in critical areas such as finance and healthcare.
Media Cybernetics Unveils Next-Generation Image-Pro AI Software for Microscope-Based Research and Inspection
Media Cybernetics proudly announces the release of Image-Pro® AI, a groundbreaking image analysis software designed to enhance efficiency and accuracy in scientific research and quality inspection.
Digital knowledge engineering for strategy development
Abstract This special issue focuses on digital knowledge engineering, where artificial intelligence (AI) emulates human judgment and behavior to create, organize, and implement knowledge bases. AI’s evolution from narrow applications to a versatile general-purpose technology (e.g., generative AI) marks a…
A New Approach to Neuroimaging Analysis
A new method for neuroimaging analysis is shown to work with small groups of participants, opening the door for many studies that don’t have access to massive sets of brain images.
Embargoed: Easter Island Agriculture Q&A
Join this virtual Q&A with Carl P. Lipo, PhD, Binghamton University, to discuss the upcoming embargoed paper about Easter Island agricultural and anthropology research.
Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation
Abstract This research examines how AI-powered capabilities can bring value to organizations by enhancing their Adaptive Response to Market Changes (ARMC). Utilizing insights from organizational agility and the dynamic capability framework, we define ARMC as an organization’s ability to promptly…
Cloud empires: Mapping the geopolitics of data infrastructures
The trend towards hyperscale cloud infrastructures is creating powerful global gatekeepers of computational capability. We must understand the geopolitical implications.
Automated social presence in AI: Avoiding consumer psychological tensions to improve service value
Abstract Consumers are increasingly embracing robots and AI. This has led them to suffer psychological tensions in their AI experiences (e.g., data capture, classification, delegation and social experiences). This exploratory research proposes that AI with higher perceived automated presence (sense…
The role of institutions in early-stage entrepreneurship: An explainable artificial intelligence approach
Abstract Although the importance of institutional conditions in fostering entrepreneurship is well established, less is known about the dominance of institutional dimensions, their predictive ability, and more complex non-linear relationships. To overcome the limitations of traditional regression approaches in addressing…
Generative artificial intelligence in innovation management: A preview of future research developments
Abstract This study outlines the future research opportunities related to Generative Artificial Intelligence (GenAI) in innovation management. To this end, it combines a review of the academic literature with the results of a Delphi study involving leading innovation management scholars.…
Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego. In the paper, which was published May 30 in Nature Machine Intelligence, researchers present HypOp, a framework that uses unsupervised learning and hypergraph neural networks.
UAH-led FTPP recognized nationally as National Science Foundation ranks in top 10 best places to work
The $20 million, five-year Future Technologies and Enabling Plasma Processes (FTPP) initiative led by The University of Alabama in Huntsville (UAH), a part of the University of Alabama System, is cited in “The Washington Post” as a key contributor toward the National Science Foundation’s (NSF) top-10 ranking in the 2023 Federal Employee Viewpoint Survey (FEVS) of the Best Places to Work in the Federal Government.
Cybersecurity expert: AI could leave our operational technology vulnerable. What can we do about it?
The use of AI could expose critical operational technology to cybersecurity vulnerabilities. How can we protect the systems that support our daily life? Operational technology networks (OT) run the infrastructure that supports our daily life – such as train networks…
Can you spot a deepfake?
University of South Australia computer scientist and AI expert Associate Professor Wolfgang Mayer demonstrates in this video how AI is getting closer to replicating voices and faces, and soon it will be very hard to tell the difference between deepfakes and reality.
Unbound Intelligence™ Revolutionizes Educational Technology with AI and Human Expertise
Unbound Medicine, a pioneer in knowledge management solutions for healthcare, announces the expansion of Unbound Intelligence (UBI), a groundbreaking union of artificial intelligence (AI) and human expertise, into its end-to-end platform.
New paper examines potential power and pitfalls of harnessing artificial intelligence for sleep medicine
In a new research commentary, the Artificial Intelligence in Sleep Medicine Committee of the American Academy of Sleep Medicine highlights how artificial intelligence stands on the threshold of making monumental contributions to the field of sleep medicine.
Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion
Researchers at the Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods.
New organic infrared photodetectors: a breakthrough in imaging technology
In a major breakthrough for the field of artificial intelligence (AI), researchers have developed a new class of organic semiconductors with narrow bandgaps that greatly improve the performance of infrared (IR) photodetectors and image arrays.
Women’s Health Month: Artificial Intelligence Can Improve OB-GYN Care
Cedars-Sinai investigators are using artificial intelligence (AI) to reduce serious health risks associated with pregnancy and childbirth and improve screening for some gynecological cancers.
AI May Help Physicians Detect Abnormal Heart Rhythms Earlier
An artificial intelligence (AI) program developed by investigators in the Smidt Heart Institute and their Cedars-Sinai colleagues can detect a type of abnormal heart rhythm that can go unnoticed during medical appointments, according to a new study.
National AI Research Resource Pilot Awards First Round Access to 35 Projects in Partnership with DOE
The U.S. Department of Energy (DOE) and the U.S. National Science Foundation (NSF) are thrilled to announce the first 35 projects that will be supported with computational time through the National Artificial Intelligence Research Resource (NAIRR) Pilot, marking a significant milestone in fostering responsible AI research across the nation.
Researchers win AI grant to develop tool to help farmers identify pests, protect crops
A team led by Iowa State researchers is one of the first recipients of advanced computing support from the new National Artificial Intelligence Research Resource Pilot. The team will use one million “node hours” on a supercomputer to develop large, vision-based artificial intelligence tools to identify agricultural pests.
Simulated Chemistry: New AI Platform Designs Tomorrow’s Cancer Drugs
Researchers from University of California San Diego have developed a new AI tool to that generate new drug candidates for cancer, which could help streamline the typically laborious drug discovery process.
ChatGPT can be helpful for Black women’s self-education about HIV, PrEP
The artificial intelligence (AI) chatbot called ChatGPT is a powerful way for Black women to educate themselves about HIV prevention, as it provides reliable and culturally sensitive information, according to a study in The Journal of the Association of Nurses in AIDS Care (JANAC), the official journal of the Association of Nurses in AIDS Care.
Researchers offer US roadmap to close the carbon cycle
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions. The roadmap was recently published in the journal Nature Reviews Chemistry.
How artificial intelligence can transform U.S. energy infrastructure
A groundbreaking report from the DOE’s national laboratories provides an ambitious framework for using artificial intelligence to accelerate U.S. clean energy deployment in the face of climate change.
AI Algorithms Can Determine How Well Newborns Nurse, Study Shows
A modified pacifier and AI algorithms to analyze the data it produces could determine if newborns are learning the proper mechanics of nursing, a recent study shows. Specifically, the researchers from the University of California San Diego measured if babies are generating enough suckling strength to breastfeed and whether they are suckling in a regular pattern based on eight independent parameters.
Sweet potato quality analysis is enhanced with hyperspectral imaging and AI
Sweet potato quality assessment is crucial for producers and processors because features influence texture and taste, consumer preferences, and viability for different purposes. A new study from the University of Illinois Urbana-Champaign explores the use of hyperspectral imaging and explainable artificial intelligence (AI) to assess sweet potato attributes.
New study reveals how AI can enhance flexibility, efficiency for customer service centers
AI is a valuable asset, so long as it’s used properly, though customer service organizations shouldn’t rely on it exclusively to guide their strategies, according to new research from Binghamton Univesity, State University of New York.
Artificial Intelligence Can Evaluate Cardiovascular Risk During CT Scan
A recent study designed and implemented by investigators at Cedars-Sinai found that artificial intelligence (AI) can accurately evaluate cardiovascular risk during a routine chest computed tomography (CT) scan without contrast.