The potential of artificial intelligence (AI) sometimes seems limitless. But with that potential comes serious new concerns, such as bias, misinformation, and privacy violations. How to develop and implement AI in a way that ethically addresses those concerns is the goal of the One-U Responsible AI Initiative (RAI).
Tag: Image Analysis
Less is more: Engagement with the content of social media influencers
Abstract We draw upon theories of social media engagement to explore the factors affecting the success of the various influencer types, based on the size of their audience. We use the social media content of 8,076 influencers and employ sentiment analysis of text and…
From flat to overflowing: adding another dimension to tissue analysis
A team of NIBIB-funded researchers recently developed an AI platform that can analyze 3D pathology images to predict disease outcomes. Their method had improved performance in predicting prostate cancer outcomes when compared with traditional pathology approaches, such as analysis by expert pathologists using 2D images.
Less is more: Engagement with the content of social media influencers
Abstract We draw upon theories of social media engagement to explore the factors affecting the success of the various influencer types, based on the size of their audience. We use the social media content of 8,076 influencers and employ sentiment…
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.
New imaging technique is no last resort
There are various ways to image biological samples on a microscopic level, and each has its own pros and cons. For the first time, a team of researchers, including those from the University of Tokyo, has combined aspects from two of the leading imaging techniques to craft a new method of imaging and analyzing biological samples.
Making the most of crowdsourcing campaigns
In a new study, an international team of researchers explored how crowdsourcing projects can make the most effective use of volunteer contributions.
FFAR Funding Supports Research to Speed Development of Perennial Crops
The Foundation for Food & Agriculture Research (FFAR) is providing a Seeding Solutions grant to the Donald Danforth Plant Science Center to accelerate development of perennial crops.
Using Engineering Methods to Track the Imperceptible Movements of Stony Corals
A new study led by University of Washington researchers borrowed image-analysis methods from engineering to spot the minute movements of a stony coral.
April Edition of SLAS Discovery Now Accessible
April’s edition of SLAS Discovery features the cover article, “Maximizing the Value of Cancer Drug Screening in Multicellular Tumor Spheroid Cultures: A Case Study in Five Head and Neck Squamous Cell Carcinoma Cell Lines.”
SLAS Discovery Announces its July Feature Article
SLAS Discovery Announces its July Feature Article, “3D Cell-Based Assays for Drug Screens: Challenges in Imaging, Image Analysis, and High-Content Analysis” Oak Brook, IL – In July’s SLAS Discovery feature article, “3D Cell-Based Assays for Drug Screens: Challenges in Imaging,…