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Michael Cohen, Former Lawyer of Donald Trump, Employed AI for Unsubstantiated Legal Citations

Donald Trump's former lawyer, Michael Cohen, made headlines when he inadvertently provided his attorney with AI-generated false case citations in an official court filing. Cohen took full responsibility for this oversight in a sworn statement to the federal court in Manhattan, noting that Google Bard produced the citations and he wasn't aware then of the…

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Exploring Advanced Models in Natural Language Processing: Can AI Grasp Sarcasm? An NYU Study

Are you looking for a way to transform communication, information processing, and decision-making? Natural Language Processing (NLP) is the answer! It’s revolutionizing the way we interact with each other and the world around us. But, one of its biggest challenges is accurately detecting sarcasm. After all, sarcasm involves complex relationships between true feelings and stated…

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Exploring LLM Surgeon: A Machine Learning Framework for Pruning of LLMs with Unstructured, Semi-Structured, and Structured Data

We are thrilled to share with you the recent advancements in Artificial Intelligence that have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters). This model is incredibly…

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Exploring the Mathematics of Operator Learning: A Comprehensive Guide to Understanding Dynamical Systems and PDEs (Partial Differential Equations) with Neural Networks

We are absolutely thrilled to share with you the amazing discoveries of a comprehensive mathematical guide to mastering dynamical systems and Partial Differential Equations (PDEs) through Neural Networks. Research from the University of Cambridge and Cornell University have provided an insightful step-by-step guide to Operator Learning, a rapidly growing field in Scientific Machine Learning (SciML).…

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This Paper Proposes an Innovative AI Method for Photorealistic Customized Apparel Creation: Can You Try On Any Outfit You Can Imagine Virtually?

The online shopping experience has been completely revolutionized with the introduction of Virtual Try-On (VTON) technology. This incredible technology bridges the gap between virtual and physical shopping experiences, allowing customers to picture how clothes will look on them without needing a physical try-on. In an era where online shopping is becoming increasingly ubiquitous, VTON is…

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Introducing MuLAN: Exploring the Use of Multivariate Learned Adaptive Noise in Image Synthesis with Advanced Diffusion Models

We are thrilled to share a revolutionary new machine learning model for image synthesis, Multivariate Learned Adaptive Noise (MuLAN), developed by researchers from Cornell University! This breakthrough approach to generative modeling and image synthesis, inspired by thermodynamics, has the potential to revolutionize the field with its ability to create high-quality images by transforming data into…

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Exploring the Text Spotting Bias of CLIP Models in Image-Text Systems

Are you looking for the latest innovation in vision-language systems? Look no further than CLIP (Contrastive Language-Image Pretraining)! This incredible neural network effectively acquires visual concepts using natural language supervision and can accurately predict the most relevant text snippet given an image – a groundbreaking development in the world of vision-language modeling tasks! But what…

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Meta GenAI Research Introduces ControlRoom3D: An Innovative Artificial Intelligence Technique to Create High-Quality 3D Room Meshes Outlined by a Textual Description of the Room’s Design

Be amazed by ControlRoom3D, a revolutionary AI method that revolutionizes how 3D room meshes are generated! At the core of this method lies the concept of a 3D semantic proxy room, an innovative approach where users can define a rough layout using semantic bounding boxes. This proxy room serves as a guiding framework, enabling the…

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