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Apple AI Researchers Develop GMPIs (Generative Multiplane Images) For Making A 2D GAN 3D-Aware

Using a given training dataset as a guide, generative adversarial networks (GANs) have achieved excellent results when sampling new pictures that are "similar" to...

Top Artificial Intelligence (AI) Chip Companies Leading The Way (2023)

Future economic growth could be significantly impacted by AI chips, which will unavoidably be used in robotics, smart homes where electronic items are becoming...

Stanford Researcher develops a simple prompting strategy that enables open-source LLMs with 30x fewer parameters to exceed the few-shot performance of GPT3-175B

By improving the in-context learning quality of smaller and open source models, more researchers and organizations can study and apply the technology. One exciting...

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

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

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

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...

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

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

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

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

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

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

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

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