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Artificial Intelligence: Techniques, Trends and Applications
Published on 2020-05-1854 Views
The area of artificial intelligence is rapidly progressing, and deep neural networks are superseding many of the traditional approaches. We have seen impressive advances and super-human performance in
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Presentation
Artificial Intelligence: Techniques,Trends and Applications00:00
Contents00:06
Artificial intelligence in media00:22
Prophets of technological singularity01:00
Many faces of AI01:41
Artificial neural networks: brain analogy02:52
Deep learning =04:41
Why they work?05:39
Deep learnig sucesses06:56
Weaknesses of deep learning07:33
Attacks on neural networks08:09
Failureson out-of-distribution examples08:53
The main idea in vision: convolutional nets09:29
Fracture detection with DNN10:20
Deep learning for medical images11:09
Many imaging applications11:35
Visual tracking11:48
Computer vision trends12:19
Deep learning for sequences12:50
Semantic language technologies13:49
Representing texts: embeddings14:44
Embeddings capture relational meaning15:47
Cross-lingual embeddings16:21
EU H2020 project16:53
Trends in language processing17:14
Explainable AI19:31
Perturbation-based explanations20:24
Use case: breast cancer recurrence21:02
AI: general trends21:41
Conclusions22:59