Top Searches from IEEE Xplore - 28th July 2023

 

Thematic Books Display - Data Science and Artificial Intelligence - 4th July 2022

 

5 Soon-to-Be Trends in Artificial Intelligence And Deep Learning

Artificial intelligence is frequently discussed yet it’s too early to show real gains. AI’s major headwind is the cost of the investment, which will skew returns in the short-term. When the turnaround occurs, however, companies who are making the investment can expect to be rewarded disproportionately with a wide performance gap. In a recent report, McKinsey predicts AI leaders will see up to double the cash flow.

To read the full article, please visit:
https://www.forbes.com/sites/bethkindig/2020/01/31/5-soon-t0-be-trends-in-artificial-intelligence-and-deep-learning/#3813411b5e56

NPTEL Online Course on Deep Learning

A total of 118 Videos created by NPTEL on Deep Learning. Visit the below URL for the entire playlist:
https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT (Accessed on January 22, 2019)

Deep Learning Basics: Introduction and Overview - MIT

An introductory lecture overviewing the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos visit our website or follow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-dee... Slides: http://bit.ly/deep-learning-basics-sl... Playlist: http://bit.ly/deep-learning-playlist OUTLINE: 0:00 - Introduction 0:53 - Deep learning in one slide 4:55 - History of ideas and tools 9:43 - Simple example in TensorFlow 11:36 - TensorFlow in one slide 13:32 - Deep learning is representation learning 16:02 - Why deep learning (and why not) 22:00 - Challenges for supervised learning 38:27 - Key low-level concepts 46:15 - Higher-level methods 1:06:00 - Toward artificial general intelligence

Source: https://www.youtube.com/watch?v=O5xeyoRL95U (Accessed on January 22, 2019)

Deep Learning State of the Art (2019) - MIT

New lecture on recent developments in deep learning is defined in the state of the art in our field (algorithms, applications, and tools). This is a complete list, but hopefully a good sampling of new exciting ideas. For more lecture videos visit our website or follow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https: //github.com/lexfridman/mit-dee ... Slides: http://bit.ly/2HiZyvP Playlist: http: // bit ly / deep-learning-playlist OUTLINE: 0:00 - Introduction 2:00 - BERT and Natural Language Processing 14:00 - Tesla Autopilot Hardware v2 +: Neural Networks at Scale 16:25- AdaNet: AutoML with Ensembles 18:32 - AutoAugment: Deep RL Data Augmentation 22:53 - Training Deep Networks with Synthetic Data 24:37 - Segmentation Annotation with Polygon-RNN ++ 26:39 - DAWNBench: Training Fast and Cheap 29:06 - BigGAN: State of the Art in Image Synthesis 30:14 - Video-to-Video Synthesis 32:12 - Semantic Segmentation 36:03 - AlphaZero & OpenI Five 43:34 - Deep Learning Frameworks 44:40 - 2019 and beyond CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman-LinkedIn :https://www.linkedin.com/in/lexfridman

Source: https://www.youtube.com/watch?v=53YvP6gdD7U (Accessed on January 22, 2019)

Accelerating The Power of Deep Learning with Neural Networks and GPUs

Deep learning capabilities are driving powerful new opportunities for AI. 

Deep learning using neural networks and Graphics Processing Units (GPUs) is starting to surpass machine learning for image recognition and other applications. Deep neural networks are helping to advance self-driving cars, faster development of new drugs, and real-time multiple-language translation for online chats. 

Find out more about: 

• Machine learning versus deep learning
• The power of inference
• GPUs delivering near real-time performance

To read the full-text, visit the following URL:

https://www.tcs.com/content/dam/tcs/pdf/technologies/artificial-intelligence/abstract/Deep-learning-with-neural-networks-and-GPUs-0917-1.pdf

Source: https://www.tcs.com/accelerating-the-power-of-deep-learning (Accessed on January 22, 2019)