In the field of artificial intelligence, the new algorithm is more efficient than the old one. But among all the algorithms developed so far, the one being researched now is potentially the ___. A. most efficient B. efficienter C. more efficient D. less E. fficient 相关...
(ERP) solutions, Business Intelligence (BI), and inventory control and prediction. As on-line sales became important in the late 1990's, one such effort was for the furniture industry, where both demand predictions for inventory and specific-to-customer catalogs were created. One specialty is ...
We developed and validated a deep learning-based artificial intelligence algorithm (DLA) for detecting MI using 6-lead ECG. A total of 412,461 ECGs were used to develop a variational autoencoder (VAE) that reconstructed precordial 6-lead ECG using limb 6-lead ECG. Data from 9536, 1301, ...
In the field of artificial intelligence, the new algorithm is much faster than the old one, and it can process ___ data at the same time. A. 相说带是就候往收支何都感带平间布地律相说带是就候往收支何都感带平间布地律as twice much相说带是就候往收支何都感带平间布地律相说带是就候...
This article discusses the potential use of artificial intelligence (AI) algorithms in medical practice, specifically in the field of ophthalmology. The authors propose a checklist of 10 questions that clinicians can use to determine whether an AI algorithm is ready for clinical use. The checklist ...
【题文】 Artificial intelligence (AI) still can’t see the future, but a new algorithm (算法) may come close: using nothing but written movie summaries, the AI can consistently tell which films will play well—or awfully—to critics and audiences. If the model can be further improved, it...
Researchers from the University of Toronto and LG AI Research have developed an "explainable" artificial intelligence (XAI) algorithm that can help identify and eliminate defects in display screens. Thenew algorithm, which outperformed comparable approaches on industry benchmarks, was developed through ...
Three major barriers to the regulatory approval20 and widespread adoption of these systems are (1) lack of generalizability across institutions, (2) high false alarm rates, and (3) risk of automation bias, wherein users tend to over-rely on the system output instead of active information ...
BEIJING, Oct. 23 (Xinhua) -- This year's Nobel Prize results signify that artificial intelligence (AI) technology is not only leading trends in computer science, but also has a growing impact in disciplines such as biology and chemistry. It offers scientists a new research approach: using AI...
Deep learning (DL) based detection models are powerful tools for large-scale analysis of dynamic biological behaviors in video data. Supervised training of a DL detection model often requires a large amount of manually-labeled training data which are tim