Deep Learning

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...

Nvidia Open-Sources Modulus: A Game-Changing Physical Machine Learning Platform for Advancing Physical Artificial Intelligence Modeling

AI Shorts
Nvidia has open-sourced its Modulus platform, a hardware and software solution combining machine learning and physics-based simulation to create more accurate and efficient digital...

Meet P+: A Rich Embeddings Space for Extended Textual Inversion in Text-to-Image Generation

AI Shorts
Text-to-image synthesis refers to the process of generating realistic images from textual prompt descriptions. This technology is a branch of generative models in the...

Multimodal Language Models: The Future of Artificial Intelligence (AI)

AI Shorts
Large language models (LLMs) are computer models capable of analyzing and generating text. They are trained on a vast amount of textual data to...

OpenXLA Project is Now Available to Accelerate and Simplify Machine Learning

AI Shorts
Over the past few years, machine learning (ML) has completely revolutionized the technology industry. Ranging from 3D protein structure prediction and prediction of tumors...

A New AI Research From the University of Maryland Proposes a Model-Agnostic Secret-Keeping Approach in Question-Answering Systems

AI Paper Summary
Improved accuracy is the main goal of most Question Answering (QA) efforts. The goal has been to make the response supplied text as accessible...

Meet TxGNN: A New Model that Utilizes Geometric Deep Learning and Human-Centered AI to Make Zero-Shot Predictions of Therapeutic Use Across a Vast Range...

AI Shorts
There is an urgent need to create therapeutics to meet the healthcare needs of billions of people worldwide. Yet, only a small fraction of...

Researchers From Stanford Introduce Locally Conditioned Diffusion: A Method For Compositional Text-To-Image Generation Using Diffusion Models

AI Paper Summary
3D scene modeling has traditionally been a time-consuming procedure reserved for people with domain expertise. Although a sizable collection of 3D materials is available...

Researchers from UC Berkeley and Deepmind Propose SuccessVQA: A Reformulation of Success Detection that is Amenable to Pre-trained VLMs such as Flamingo

AI Paper Summary
In order to achieve the best possible performance accuracy, it is crucial to understand whether an agent is on the right or preferred track...

Researchers From ETH Zurich and Microsoft Propose X-Avatar: An Animatable Implicit Human Avatar Model Capable of Capturing Human Body Pose and Facial Expressions

AI Shorts
Pose, look, facial expression, hand gestures, etc.—collectively called "body language”—has been the subject of many academic investigations. Accurately recording, interpreting, and creating non-verbal signals...

Meet Instruct-NeRF2NeRF: An AI Method For Editing 3D Scenes With Text-Instructions

AI Paper Summary
It has never been simpler to capture a realistic digital representation of a real-world 3D scene, thanks to the development of effective neural 3D...

Microsoft AI Proposes MM-REACT: A System Paradigm that Combines ChatGPT and Vision Experts for Advanced Multimodal Reasoning and Action

AI Paper Summary
Large Language Models (LLMs) are rapidly advancing and contributing to notable economic and social transformations. With many artificial intelligence (AI) tools getting released on...

MIT Researchers Introduce LiGO: A New Technique that Accelerates Training of Large Machine-Learning Models, Reducing the Monetary and Environmental Cost of Developing AI Applications

AI Paper Summary
The transformer architecture has become a go-to choice for representing various domain structures. The empirical inductive biases of the transformer make it a good...
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