Results 31 to 40 of about 422,144 (319)

Making AI Meaningful Again [PDF]

, 2021
Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming.
Landgrebe, Jobst, Smith, Barry
core  

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

IEEE Access, 2019
Brain-computer interface provides a new communication bridge between the human mind and devices, depending largely on the accurate classification and identification of non-invasive EEG signals. Recently, the deep learning approaches have been widely used
Zhiwen Zhang, Feng Duan, Jordi Sole-Casals, Josep Dinares-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun   +6 more
doaj   +1 more source

Deep learning in bladder cancer imaging: A review

Frontiers in Oncology, 2022
Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of deep learning originates from research on artificial neural networks and is an upgrade of traditional neural networks.
Mingyang Li, Zekun Jiang, Wei Shen, Haitao Liu   +3 more
doaj   +1 more source

Neurogenesis Deep Learning

, 2017
Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks. These methods have arguably had their strongest impact on tasks such as image and audio processing - data ...
Aimone, James B., Carlson, Kristofor D., Cox, Jonathan A., Draelos, Timothy J., James, Conrad D., Lamb, Christopher C., Miner, Nadine E., Severa, William M., Vineyard, Craig M.   +8 more
core   +1 more source

Building Program Vector Representations for Deep Learning [PDF]

, 2014
Deep learning has made significant breakthroughs in various fields of artificial intelligence. Advantages of deep learning include the ability to capture highly complicated features, weak involvement of human engineering, etc.
Jin, Zhi, Li, Ge, Liu, Yuxuan, Mou, Lili, Peng, Hao, Xu, Yan, Zhang, Lu   +6 more
core   +1 more source

Artificial intelligence used in genome analysis studies

The EuroBiotech Journal, 2018
Next Generation Sequencing (NGS) or deep sequencing technology enables parallel reading of multiple individual DNA fragments, thereby enabling the identification of millions of base pairs in several hours.
D’Agaro Edo
doaj   +1 more source

Artificial intelligence in surgical pathology

Journal of Pathology of Nepal, 2019
Artificial intelligence (AI) is machine intelligence that mimics human cognitive function. It denotes the intelligence presented by some artificial entities including computers and robots.
Gopi Aryal
doaj   +1 more source

Review of dynamic gesture recognition

Virtual Reality & Intelligent Hardware, 2021
In recent years, gesture recognition has been widely used in the fields of intelligent driving, virtual reality, and human-computer interaction. With the development of artificial intelligence, deep learning has achieved remarkable success in computer ...
Yuanyuan SHI, Yunan LI, Xiaolong FU, M.I.A.O. Kaibin, M.I.A.O. Qiguang   +4 more
doaj   +1 more source

Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?

IEEE Access, 2018
Unpredictable stock market factors make it difficult to predict stock index futures. Although efforts to develop an effective prediction method have a long history, recent developments in artificial intelligence and the use of artificial neural networks ...
Lin Chen, Zhilin Qiao, Minggang Wang, Chao Wang, Ruijin Du, Harry Eugene Stanley   +5 more
doaj   +1 more source

Deep learning in Emergency Medicine: Recent contributions and methodological challenges

Emergency Care Journal, 2020
In the last few years, artificial intelligence (AI) technology has grown dramatically impacting several fields of human knowledge and medicine in particular.
Francesco Faita
doaj   +1 more source