SignalImage and Speech ProcessingCircuits and SystemsElectrical EngineeringImage Processing and Computer VisionPattern RecognitionComputer ImagingVisionPattern Recognition and GraphicsJournal of Signal Processing Systems -doi:10.1007/S11265-021-01699-3John McAllister...
The Journal of Supercomputing publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and ...
5c that online reward-based e-prop applied to an LSNN does in fact reach the same performance as reference offline algorithms applied to LSTM networks. We show a random trial after learning in Fig. 5d, where we can identify two different learnt behaviors: first, by evading the shark, and ...
First of all, we will have to work on optical transceiver lasers and use high-modulation components to double or triple baud rates. In addition, new modulation coding and algorithms will be required to multiply the capacity. Thin-film high-bandwidth modulators will be the way forward. Second, ...
Amid the rapid development of artificial intelligence, the significance of memory and in-memory computing technologies is becoming increasingly prominent. The surge in data volumes coupled with the rising complexity of AI algorithms has exposed inefficiencies in traditional system architectures, where sluggis...
Korean Advanced Institute of Science and Technology Data-Centric AI Read bio Jessy Lin University of California, Berkeley Human Centered AI Read bio Yong Lin Hong Kong University of Science and Technology ML Algorithms and Architectures Read bio ...
, the order of n items is O (nlogn) times. In the worst case, O (n ^ 2) comparisons are required, but this is not common. In fact, Quick Sorting O (nlogn) is usually significantly faster than other algorithms because its inner loop can be achieved efficiently on most architectures....
1 The development trend of AI computing power 1.1 Artificial Intelligence Theory: Deep Learning The development of artificial intelligence has not been smooth sailing so far. From the initial stage to the current deep learning stage, data, algorithms and computing power constitute the three basic ele...
Data collected from different parts of the human body (such as the brain, chest, and hands). The prediction model receives these data as input signals. AI (rule-based, shallow machine learning, deep machine learning)-based algorithms were taken into account in this research to detect stress ...
Five artificial intelligence (AI) models based on machine and deep learning techniques—back-propagation neural network (BPNN), extreme learning machine (ELM), support vector machine (SVM), long-short term memory (LSTM), and gated recurrent unit (GRU)—are used. Five geological and nine ...