Results 81 to 90 of about 1,351,787 (292)
International Conference on Human Factors in Computing Systems, 2023 Large language models have abilities in creating high-volume human-like texts and can be used to generate persuasive misinformation. However, the risks remain under-explored.
Jiawei Zhou +4 more
semanticscholar +1 more source
Optimizing quantum gates towards the scale of logical qubits
Nature CommunicationsA foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance.
Paul V. Klimov +23 more
doaj +1 more source
AI-in-the-Loop -- The impact of HMI in AI-based Application [PDF]
arXiv, 2023 Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model.
arxiv
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal +9 more
wiley +1 more source
Future Internet, 2023 Generative artificial intelligence (AI) has emerged as a powerful technology with numerous applications in various domains. There is a need to identify the requirements and evaluation metrics for generative AI models designed for specific tasks.
A. Bandi +2 more
semanticscholar +1 more source
Advanced Biology, EarlyView.Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker +7 more
wiley +1 more source
Communications of the ACM, 2020 Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
Roy Schwartz +3 more
openaire +3 more sources
British medical journalThe TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a ...
Gary S. Collins +33 more
semanticscholar +1 more source
Nano‐Topography Enhanced Topological‐Cell‐Analysis in Radiation‐Therapy
Advanced Healthcare Materials, EarlyView.Radiotherapy, a treatment that implies exposition of cells to radiation, offers promise to treat cancer. Here, it is hypothesized that the nanoscale details of a scaffold can amplify the response of cells to radiation, measured through topological variables, providing ways to assess the efficacy of Radiotherapy treatment.
Francesca Pagliari +8 more
wiley +1 more source
Ai Magazine, 2002 The items in this collage were selected from the AI TOPICS Web site's "AI in the News" collection that can be found -- complete with links to the item's source and related AI TOPICS pages -- at www. aaai.org/aitopics/html/current.php. Please note that: (1) an excerpt may not reflect the overall tenor of the item, nor contain all of the relevant ...
openaire +20 more sources