Diffusion Transformers in Biomedical Research
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Diffusion Transformers in Biomedical Research
5:10
Random Forest:  Medical Application
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Random Forest: Medical Application
3:24
Federated Learning: An AI Way of Overcoming Data Privacy
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Federated Learning: An AI Way of Overcoming Data Privacy
3:47
Word2Vec  Revolutionizing Natural Language Processing
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Word2Vec Revolutionizing Natural Language Processing
3:46
The Rise of AI: From AlphaGo to ChatGPT
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The Rise of AI: From AlphaGo to ChatGPT
3:57
Trustworthiness: A Pillar of Everything in AI Application
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Trustworthiness: A Pillar of Everything in AI Application
4:00
Behind Sora is Diffusion Model
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Behind Sora is Diffusion Model
3:45
AI Controversy: Rethinking Applicability and Context-of-Use
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AI Controversy: Rethinking Applicability and Context-of-Use
2:33
50 Shades of AI in Regulatory Science Application
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50 Shades of AI in Regulatory Science Application
4:00
Large Language Models for Drug Discovery
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Large Language Models for Drug Discovery
3:01
Does An AI Model Need To Be Transparent?
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Does An AI Model Need To Be Transparent?
3:09
The FDA's FDALabel: A Treasure Trove of Drug Information
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The FDA's FDALabel: A Treasure Trove of Drug Information
3:00
AI in FDA: Division of Bioinformatics and Biostatistics
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AI in FDA: Division of Bioinformatics and Biostatistics
5:14
Does an AI Model Need To Be Explainable?
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Does an AI Model Need To Be Explainable?
2:43
Transfer Learning: Apply One Context to Another
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Transfer Learning: Apply One Context to Another
5:51
Does an AI Model Need To Be Reproducible?
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Does an AI Model Need To Be Reproducible?
2:20
Do You Trust AI Over A Doctor in Diagnosis
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Do You Trust AI Over A Doctor in Diagnosis
3:00
XGBoost: The Machine Learning Cleverly Uses Decision Tree
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XGBoost: The Machine Learning Cleverly Uses Decision Tree
3:04
AI4TOX: Innovative Toxicology with AI
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AI4TOX: Innovative Toxicology with AI
3:46
Behind Deepfake is Generative Adversarial Networks (GANs)
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Behind Deepfake is Generative Adversarial Networks (GANs)
3:30
Transformer Neural Networks: The Power of Position Encoding, Attention & Self-Attention
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Transformer Neural Networks: The Power of Position Encoding, Attention & Self-Attention
3:08
Discriminative vs Generative  A Biomedical Perspective
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Discriminative vs Generative A Biomedical Perspective
2:28
AI vs Reviewers: The Future of Regulatory Science
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AI vs Reviewers: The Future of Regulatory Science
2:17
Deep Learning: How Far We Come
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Deep Learning: How Far We Come
3:32
TREAT AI as Humans: Bridging AI Innovation and Regulatory Science
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TREAT AI as Humans: Bridging AI Innovation and Regulatory Science
3:29
TREAT AI as Humans:  Bridging AI Innovation and Regulatory Science
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TREAT AI as Humans: Bridging AI Innovation and Regulatory Science
3:11
XGBoost: The Machine Learning Powerhouse
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XGBoost: The Machine Learning Powerhouse
3:09
Large Language Models: From Text to Drug Design
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Large Language Models: From Text to Drug Design
3:06
Support Vector Machines (SVMs): Basic Principle and Application
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Support Vector Machines (SVMs): Basic Principle and Application
5:00
Transfer Learning: Revolutionizing AI in Medicine
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Transfer Learning: Revolutionizing AI in Medicine
5:56
Drug-Induced Liver Injury (DILI) and AI
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Drug-Induced Liver Injury (DILI) and AI
6:18
AI Explainability: Why Should I Care ?
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AI Explainability: Why Should I Care ?
2:49
Deep Learning: Past, Present, and Future
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Deep Learning: Past, Present, and Future
3:37
Memory: A Journey Through Time, Thought, and AI
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Memory: A Journey Through Time, Thought, and AI
4:38
AI vs Expertise: The Future of Regulatory Science
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AI vs Expertise: The Future of Regulatory Science
2:22
Federated Learning: A New Era in AI and Medical Applications
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Federated Learning: A New Era in AI and Medical Applications
4:06
The Future of AI: Task-Specific vs Universal Models
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The Future of AI: Task-Specific vs Universal Models
3:47
Discriminative vs Generative: A Biomedical Perspective
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Discriminative vs Generative: A Biomedical Perspective
2:33
AI vs Doctors: The Future of Medical Diagnosis
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AI vs Doctors: The Future of Medical Diagnosis
3:05
Reproducibility in AI
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Reproducibility in AI
2:25
Evolution of Natural Language Processing
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Evolution of Natural Language Processing
3:13
Deepfake: What You See Is Not What You See
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Deepfake: What You See Is Not What You See
3:59
DeepFake: An AI Manipulation
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DeepFake: An AI Manipulation
2:44
GANs Application in biomedical field
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GANs Application in biomedical field
2:46
Machine Learning Strategies
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Machine Learning Strategies
3:28
Generative Adversarial Networks (GANs): Methodologies
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Generative Adversarial Networks (GANs): Methodologies
1:27