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MIT Researchers Introduce IF-COMP for Uncertainty Estimation, Machine Learning in Financial Forecasting

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Manage episode 429135304 series 3550973
Content provided by Simply News from Qurrent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Simply News from Qurrent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
MIT researchers propose IF-COMP, a scalable solution for uncertainty estimation and improved calibration in deep learning under distribution shifts. Explore the transformative role of machine learning in financial forecasting. Plus, a study compares large kernel ConvNets to CNNs and ViTs for robustness. Also, Europe's AI Act: How does it work and what happens next?
Sources:
https://www.marktechpost.com/2024/07/16/mit-researchers-propose-if-comp-a-scalable-solution-for-uncertainty-estimation-and-improved-calibration-in-deep-learning-under-distribution-shifts/
https://www.ibtimes.co.in/transformative-role-machine-learning-financial-forecasting-870187
https://www.marktechpost.com/2024/07/15/exploring-robustness-large-kernel-convnets-in-comparison-to-convolutional-neural-network-cnns-and-vision-transformers-vits/
https://apnews.com/article/ai-act-european-union-chatbots-155157e2be2e42d0f1acca33983d8c82
Outline:
(00:00:00) Introduction
(00:00:41) The Transformative Role of Machine Learning in Financial Forecasting
(00:03:44) Exploring Robustness: Large Kernel ConvNets in Comparison to Convolutional Neural Network CNNs and Vision Transformers ViTs
(00:06:20) Europe's AI Act: How does it work and what happens next?
  continue reading

101 episodes

Artwork
iconShare
 
Manage episode 429135304 series 3550973
Content provided by Simply News from Qurrent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Simply News from Qurrent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
MIT researchers propose IF-COMP, a scalable solution for uncertainty estimation and improved calibration in deep learning under distribution shifts. Explore the transformative role of machine learning in financial forecasting. Plus, a study compares large kernel ConvNets to CNNs and ViTs for robustness. Also, Europe's AI Act: How does it work and what happens next?
Sources:
https://www.marktechpost.com/2024/07/16/mit-researchers-propose-if-comp-a-scalable-solution-for-uncertainty-estimation-and-improved-calibration-in-deep-learning-under-distribution-shifts/
https://www.ibtimes.co.in/transformative-role-machine-learning-financial-forecasting-870187
https://www.marktechpost.com/2024/07/15/exploring-robustness-large-kernel-convnets-in-comparison-to-convolutional-neural-network-cnns-and-vision-transformers-vits/
https://apnews.com/article/ai-act-european-union-chatbots-155157e2be2e42d0f1acca33983d8c82
Outline:
(00:00:00) Introduction
(00:00:41) The Transformative Role of Machine Learning in Financial Forecasting
(00:03:44) Exploring Robustness: Large Kernel ConvNets in Comparison to Convolutional Neural Network CNNs and Vision Transformers ViTs
(00:06:20) Europe's AI Act: How does it work and what happens next?
  continue reading

101 episodes

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