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MIT’s MAIA: Automating Neural Model Understanding, Top XAI Frameworks, OpenCRISPR’s AI-Generated Gene Editor, AI Detects Deepfake Video Fingerprints

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Manage episode 414491444 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.
Researchers at MIT propose MAIA, an AI system that automates neural model understanding tasks. Explore the top 10 explainable AI frameworks and the importance of transparency in AI decision-making. Learn about OpenCRISPR, an open-source AI-generated gene editor compatible with base editing. Discover how AI can detect deepfake video fingerprints and address the challenges of misinformation. Join us as we delve into the latest advancements in AI and their real-life applications.
Sources:
https://www.marktechpost.com/2024/04/24/researchers-at-mit-propose-maia-an-artificial-intelligence-system-that-uses-neural-network-models-to-automate-neural-model-understanding-tasks/
https://www.marktechpost.com/2024/04/24/top-10-explainable-ai-xai-frameworks/
https://www.marktechpost.com/2024/04/24/opencrispr-an-open-source-ai-generated-gene-editor-that-exhibits-compatibility-with-base-editing/
https://neurosciencenews.com/ai-deepfake-fingerprints-25980/
Outline:
(00:00:00) Introduction
(00:00:45) Researchers at MIT Propose ‘MAIA’: An Artificial Intelligence System that Uses Neural Network Models to Automate Neural Model Understanding Tasks
(00:04:00) Top 10 Explainable AI (XAI) Frameworks
(00:06:28) OpenCRISPR: An Open-Source AI-Generated Gene Editor that Exhibits Compatibility with Base Editing
(00:08:53) AI Detects Deepfake Video Fingerprints
  continue reading

101 episodes

Artwork
iconShare
 
Manage episode 414491444 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.
Researchers at MIT propose MAIA, an AI system that automates neural model understanding tasks. Explore the top 10 explainable AI frameworks and the importance of transparency in AI decision-making. Learn about OpenCRISPR, an open-source AI-generated gene editor compatible with base editing. Discover how AI can detect deepfake video fingerprints and address the challenges of misinformation. Join us as we delve into the latest advancements in AI and their real-life applications.
Sources:
https://www.marktechpost.com/2024/04/24/researchers-at-mit-propose-maia-an-artificial-intelligence-system-that-uses-neural-network-models-to-automate-neural-model-understanding-tasks/
https://www.marktechpost.com/2024/04/24/top-10-explainable-ai-xai-frameworks/
https://www.marktechpost.com/2024/04/24/opencrispr-an-open-source-ai-generated-gene-editor-that-exhibits-compatibility-with-base-editing/
https://neurosciencenews.com/ai-deepfake-fingerprints-25980/
Outline:
(00:00:00) Introduction
(00:00:45) Researchers at MIT Propose ‘MAIA’: An Artificial Intelligence System that Uses Neural Network Models to Automate Neural Model Understanding Tasks
(00:04:00) Top 10 Explainable AI (XAI) Frameworks
(00:06:28) OpenCRISPR: An Open-Source AI-Generated Gene Editor that Exhibits Compatibility with Base Editing
(00:08:53) AI Detects Deepfake Video Fingerprints
  continue reading

101 episodes

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