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Stylus: An AI Instrument that Independently Identifies and Incorporates Optimal Adapters (LoRAs, Textual Inversions, Hypernetworks) into Secure Diffusion based on Your Input

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 9, 2024178Views0Likes0Comments
"Finetuned adapters" play a crucial role in generative image models, permitting custom image generation and reducing storage needs. Open-source platforms that provide these adapters have grown considerably, leading to a boom in AI art. Currently, over 100,000 adapters are available, with the Low-Rank Adaptation (LoRA) method standing out as the most common finetuning process. These…

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A Synopsis of Three Leading Models for Motion Planning based on Graph Neural Network Systems.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 6, 2024196Views0Likes0Comments
The application of Graph Neural Network (GNN) for motion planning in robotic systems has surfaced as an innovative solution for efficient strategy formation and navigation. Using GNN, this approach can assess the graph structure of an environment to make quick and informed decisions regarding the best path for a robot to take. Three major systems…

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The NVIDIA AI team has unveiled ‘VILA’, a visionary language model competent of rationalizing across several images, understanding videos, and contextual learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 5, 2024151Views0Likes0Comments
Artificial intelligence (AI) is becoming more sophisticated, requiring models capable of processing large-scale data and providing precise, valuable insights. The aim of researchers in this field is to develop systems that are capable of continuous learning and adaptation, ensuring relevance in dynamic environments. One of the main challenges in developing AI models is the issue of…

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Developing custom coding languages for effective visual artificial intelligence systems.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Games, Information systems and technology, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Profile, Programming, Programming languages, School of Engineering, Uncategorized, VideoMay 4, 2024186Views0Likes0Comments
Associate Professor Jonathan Ragan-Kelley at the MIT Department of Electrical Engineering and Computer Science is a creator behind many innovative technologies used in photographic image processing and editing. Ragan-Kelley has contributed to the visual effects industry and was instrumental in designing the Halide programming language, a tool widely used in the photo editing sector. Ragan-Kelley,…

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Improved coding, planning, and robotics performance can be attributed to the enhancement brought about by natural language.

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Department of Defense (DoD), Electrical Engineering & Computer Science (eecs), Human-computer interaction, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Natural language processing, Programming, Programming languages, Quest for Intelligence, Research, Robotics, School of Engineering, School of Science, UncategorizedMay 2, 2024164Views0Likes0Comments
Researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) presented three papers at the International Conference on Learning Representations, indicating breakthroughs in Large Language Models' (LLMs) abilities to form useful abstractions. The team used everyday words for context in code synthesis, AI planning, and robotic navigation and manipulation. The three frameworks, LILO, Ada,…

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The AI research document from China unveiles a new tool known as TinyChart: a highly efficient large-scale multimodal language model for interpreting charts that operates on a mere 3 billion parameters.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 1, 2024143Views0Likes0Comments
In the age of rapidly growing data volume, charts have become vital tools for visualizing data in diverse fields ranging from business to academia. As a result, the need for automated chart comprehension has become increasingly important and received significant attention. While advancements in Multimodal Large Language Models (MLLMs) have shown promise in understanding images…

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Open-source models make significant progress in multimodal AI through InternVL 1.5, expanding on high-definition and bilingual features.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 1, 2024153Views0Likes0Comments
Multimodal large language models (MLLMs), which combine text and visual data processing, enhance the ability of artificial intelligence to understand and interact with the world. However, most open-source MLLMs are limited in their ability to process complex visual inputs and support multiple languages which can hinder their practical application. A research collaboration from several Chinese institutions…

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Apple’s AI study presents a pre-training technique for visual models that is weakly-supervised and uses publicly accessible large-scale image-text data from the internet.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Tech News, Technology, UncategorizedApril 29, 2024164Views0Likes0Comments
Contrastive learning has emerged as a powerful tool for training models in recent times. It is used to learn efficient visual representations by aligning image and text embeddings. However, a tricky aspect of contrastive learning is the extensive computation required for pairwise similarity between image and text pairs, particularly when working with large-scale datasets. This issue…

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A versatile approach to assist animators in enhancing their animation skills.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 29, 2024189Views0Likes0Comments
A team from the Massachusetts Institute of Technology (MIT) has created a technique that allows animators to have a more significant scale of control over their works. The researchers have developed a method that produces mathematical functions known as "barycentric coordinates," which indicate how 2D and 3D shapes can move, stretch, and contour in space.…

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A versatile remedy to assist animators in enhancing their animation skills.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 29, 2024182Views0Likes0Comments
Artists behind animated movies and video games may soon have greater control over their animations through a new technique devised by researchers at the Massachusetts Institute of Technology (MIT). The approach employs barycentric coordinates, mathematical functions that articulate how 2D and 3D figures can be manipulated through space. Existing solutions are often limited, providing a single…

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