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Artificial Intelligence: Techniques, Trends and Applications
Published on May 18, 202048 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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Chapter list
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