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A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains

AI Paper Summary
Latent diffusion models have greatly increased in popularity in recent years. Because their outstanding generating capabilities, these models can produce high-fidelity synthetic datasets that can be added to supervised machine learning pipelines in situations when training...

Cerebras Releases 7 GPT-based Large Language Models for Generative AI

AI Shorts
Rising entry barriers are hindering AI's potential to revolutionize global trade. OpenAI's GPT4 is the most recent big language model to be disclosed. However, the model's architecture, training data, hardware, and hyperparameters are kept secret. Large...

Researchers from MIT Propose an AI Model that Knows How to Generate Line Drawings from Photographs

AI Paper Summary
If you have ever seen an artist working on a drawing, you probably noticed they start with the line drawing. They draw the outlines...

Meet HyDE: An Effective Fully Zero-Shot Dense Retrieval Systems That Require No Relevance Supervision, Works Out-of-Box, And Generalize Across Tasks

AI Paper Summary
Dense retrieval, a technique for finding documents based on similarities in semantic embedding, has been shown effective for tasks including fact-checking, question-answering, and online...

Meet GLIGEN: An AI Approach that Extends the Functionality of Existing Pre-Trained Text-to-Image Diffusion Models by Enabling Conditioning on Grounding Inputs

AI Paper Summary
Since millions of image-text pairings have been used to train diffusion models, it only makes sense to ask if they can add additional conditional...

UCLA Researchers Propose PhyCV: A Physics-Inspired Computer Vision Python Library

AI Shorts
Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are...

Salesforce AI Developed A New Editing Algorithm Called EDICT That Performs Text-To-Image Diffusion Generation With An Invertible Process Given Any Existing Diffusion Model

AI Paper Summary
With the recent advancements in technology and the field of Artificial Intelligence, there have been a lot of innovations. Be it text generation using...

Check out this new Diffusion Probabilistic Model for Video Data that Provides a Unique Implicit Condition Paradigm for Modeling Continuous Spatial-Temporal Changing of Videos

AI Paper Summary
Another day and another blog post about diffusion models. Diffusion models were probably one of the hottest, if not the hottest, topics in the...

This Artificial Intelligence (AI) Research Proposes A New Poisoning Attack That Could Trick AI-Based Coding Assistants Into Suggesting Dangerous Code

AI Paper Summary
Automatic code suggestion is now a common software engineering tool thanks to recent developments in deep learning. A for-profit "AI pair programmer" called GitHub...

This Artificial Intelligence (AI) Paper Introduces HyperReel: A Novel 6-DoF Video Representation

AI Paper Summary
Videos with six degrees of freedom (6-DoF) let viewers freely explore an area by allowing them to adjust their head position (3 degrees of...

Meet Med-PaLM: A Large Language Model Supporting the Medical Domain in Providing Safe and Helpful Answers

AI Paper Summary
Language facilitates crucial interactions for and between physicians, researchers, and patients in the compassionate field of medicine. But the use of language by current...

Researchers at Stanford have developed an Artificial Intelligence (AI) Model, SUMMON, that can generate Multi-Object Scenes from a Sequence of Human Interaction

AI Paper Summary
Capturing and synthesizing realistic human motion trajectories can be extremely useful in virtual reality, game character animations, CGI, and robotics. We need large datasets...

This Artificial Intelligence (AI) Research Examines the Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

AI Paper Summary
In the last decade, convolutional neural networks (CNNs) have been the backbone of computer vision applications. Traditionally, computer vision tasks have been tackled using...

DynamicViz: A Framework for Generating Dynamic Visualizations of High-Dimensional Data Using Dimensionality Reduction Techniques

AI Paper Summary
Dimensionality reduction (DR) is a method for analyzing high-dimensional data that involves minimizing the number of variables taken into account. Data visualization in two...
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