Generative Models

All Work

What is red teaming for generative AI?
What is red teaming for generative AI?
IBM Research
Students pitch transformative ideas in generative AI at MIT Ignite competition
Students pitch transformative ideas in generative AI at MIT Ignite competition
MIT News
Explained: Generative AI
Explained: Generative AI
MIT News
To excel at engineering design, generative AI must learn to innovate, study finds
To excel at engineering design, generative AI must learn to innovate, study finds
MIT News
From physics to generative AI: An AI model for advanced pattern generation
From physics to generative AI: An AI model for advanced pattern generation
MIT News
Computer vision system marries image recognition and generation
Computer vision system marries image recognition and generation
MIT News
The complicated interplay: AI and government
The complicated interplay: AI and government
Data-Smart City Solutions
Creating space for the evolution of generative and trustworthy AI
Creating space for the evolution of generative and trustworthy AI
MIT-IBM Watson AI Lab
Creating space for the evolution of generative and trustworthy AI
Creating space for the evolution of generative and trustworthy AI
 
How IBM is tailoring generative AI for enterprises
How IBM is tailoring generative AI for enterprises
IBM Research
AI system can generate novel proteins that meet structural design targets
AI system can generate novel proteins that meet structural design targets
MIT News
What are generative AI models?
What are generative AI models?
IBM Technology
IBM demonstrates groundbreaking artificial intelligence research using foundational models and generative AI
IBM demonstrates groundbreaking artificial intelligence research using foundational models and generative AI
Forbes
How to Detect AI-Generated Text, According to Researchers
How to Detect AI-Generated Text, According to Researchers
WIRED
3 Questions: Innovation in financial services through synthetic data
3 Questions: Innovation in financial services through synthetic data
MIT-IBM Watson AI Lab
3 Questions: Innovation in financial services through synthetic data
3 Questions: Innovation in financial services through synthetic data
 
Five ways IBM is using synthetic data to improve AI models
Five ways IBM is using synthetic data to improve AI models
IBM Research
Perceptron: AI that sees with sound, learns to walk and predicts seismic physics
Perceptron: AI that sees with sound, learns to walk and predicts seismic physics
TechCrunch
How to use AI to discover new drugs and materials with limited data
How to use AI to discover new drugs and materials with limited data
IBM Research
Generating new molecules with graph grammar
Generating new molecules with graph grammar
MIT News
Breaking into the black box of artificial intelligence
Breaking into the black box of artificial intelligence
Nature
When it comes to AI, can we ditch the datasets?
When it comes to AI, can we ditch the datasets?
MIT News
Generative adversarial networks: What GANs are and how they’ve evolved
Generative adversarial networks: What GANs are and how they’ve evolved
VentureBeat
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
 
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
 
MIT and IBM’s new A.I. image-editing tool lets you paint with neurons
MIT and IBM’s new A.I. image-editing tool lets you paint with neurons
Digital Trends
Teaching artificial intelligence to create visuals with more common sense
Teaching artificial intelligence to create visuals with more common sense
MIT News
GAN Paint Studio uses AI to add, delete, and modify objects in photos
GAN Paint Studio uses AI to add, delete, and modify objects in photos
Venture Beat
Webby Awards: AI Portraits
Webby Awards: AI Portraits
Artsy
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
 
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
 
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
 
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation