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Researchers from Meta GenAI Introduce Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis Artificial Intelligence Framework

Artificial intelligence has recently been used in all spheres of life. Likewise, it is being used for video generation and video editing. AI has opened up new possibilities for creativity, enabling seamless content generation and manipulation. However, video editing remains challenging due to the intricate nature of maintaining temporal coherence between individual frames. The Traditional…

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Getting Started with Multimodality | by Valentina Alto | Dec, 2023

Image created with Microsoft DesignerUnderstanding vision capabilities of Large Multimodal Models The recent advances in Generative AI have enabled the development of Large Multimodal Models (LMMs) that can process and generate different types of data, such as text, images, audio, and video. LMMs share with “standard” Large Language Models (LLMs) the capability of generalization and…

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6 Compelling Ways Leveraging AI Can Boost Business Performance

In today’s fast-paced business landscape, Artificial Intelligence (AI) is no longer a mere buzzword but a pivotal tool driving innovation and efficiency. AI fundamentally represents a branch of computer science dedicated to developing smart machines capable of executing tasks that generally demand human intelligence, encompassing activities such as learning, problem-solving, and making decisions.…

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This AI Paper Unveils InternVL: Bridging the Gap in Multi-Modal AGI with a 6 Billion Parameter Vision-Language Foundation Mode

The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress with the advent of LLMs. Yet, developing vision and vision-language foundation models essential for multimodal AGI systems still need to catch up. This gap has led to the creation of a groundbreaking…

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Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions | by Amy Ma | Dec, 2023

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on UnsplashWelcome back! In the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today, we’re diving headfirst into the world of loss functions: the silent superheroes guiding our models…

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Why Are Manufacturers Hesitating to Use AI?

Artificial intelligence (AI) refers to developing computer systems that can perform tasks that typically require human intellect. These tasks include learning, reasoning, problem-solving, understanding natural language and perception. It’s about creating machines that can think and adapt. Introducing AI in manufacturing presents challenges and concerns in addition to its significant benefits, causing companies to…

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Researchers from MIT and Meta Introduce PlatoNeRF: A Groundbreaking AI Approach to Single-View 3D Reconstruction Using Lidar and Neural Radiance Fields

Researchers from the Massachusetts Institute of Technology(MIT), Meta, and Codec Avatars Lab have addressed the challenging task of single-view 3D reconstruction from a neural radiance field (NeRF) perspective and introduced a novel approach, PlatoNeRF. The method proposes a solution using time-of-flight data captured by a single-photon avalanche diode, overcoming limitations associated with data priors and…

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