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

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