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Google AI Proposes PixelLLM: A Vision-Language Model Capable of Fine-Grained Localization and Vision-Language Alignment Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ Large Language Models (LLMs)  have successfully utilized the power of Artificial Intelligence (AI) sub-fields, including Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision. With LLMs, the creation of vision-language models that can reason complexly about images, respond to queries pertaining to… Read More »Google AI Proposes PixelLLM: A Vision-Language Model Capable of Fine-Grained Localization and Vision-Language Alignment Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas Igor Alekseev AWS Machine Learning Blog

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​ This is a guest post co-written with Babu Srinivasan from MongoDB. As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. The absence of real-time forecasts in various… Read More »Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas Igor Alekseev AWS Machine Learning Blog

This AI Paper Proposes COLMAP-Free 3D Gaussian Splatting (CF3DGS) for Novel View Synthesis without known Camera Parameters Sana Hassan Artificial Intelligence Category – MarkTechPost

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​ The progress in neural rendering has brought significant breakthroughs in reconstructing scenes and generating new viewpoints. However, its effectiveness largely depends on the precise pre-computation of camera poses. To minimize this problem, many efforts have been made to train Neural Radiance Fields (NeRFs) without… Read More »This AI Paper Proposes COLMAP-Free 3D Gaussian Splatting (CF3DGS) for Novel View Synthesis without known Camera Parameters Sana Hassan Artificial Intelligence Category – MarkTechPost

General World Models: Runway AI Research Starting a New Long-Term Research Effort Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ A world model is an AI system that aims to build an internal understanding of an environment and use this knowledge to predict future events within that space. Researchers have primarily tested these world models in controlled settings, like video games or specific tasks… Read More »General World Models: Runway AI Research Starting a New Long-Term Research Effort Niharika Singh Artificial Intelligence Category – MarkTechPost

List of Artificial Intelligence Models for Medical Landscape (2023) Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​ Given the number of advancements artificial intelligence (AI) has made this year itself, it’s no surprise that it has been a significant point of discussion throughout 2023. AI now finds its use case in almost every realm, and one of its exciting and useful… Read More »List of Artificial Intelligence Models for Medical Landscape (2023) Asif Razzaq Artificial Intelligence Category – MarkTechPost

Amazon Researchers Leverage Deep Learning to Enhance Neural Networks for Complex Tabular Data Analysis Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Neural networks, the marvels of modern computation, encounter a significant hurdle when confronted with tabular data featuring heterogeneous columns. The essence of this challenge lies in the networks’ inability to handle diverse data structures within these tables effectively. To tackle this, the paper seeks… Read More »Amazon Researchers Leverage Deep Learning to Enhance Neural Networks for Complex Tabular Data Analysis Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Researchers From Stanford University Introduce A Unified AI Framework For Corroborative And Contributive Attributions In Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ Large Language Models (LLMs) are the latest advancement in the exponentially evolving field of Artificial Intelligence (AI). Though these models demonstrate incredible performance in tasks including text generation, question answering, text summarization, etc., there comes a challenge with the accuracy and security of the… Read More »Researchers From Stanford University Introduce A Unified AI Framework For Corroborative And Contributive Attributions In Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Training Large-Vocabulary Neural Language Model by Private Federated Learning for Resource-Constrained Devices Apple Machine Learning Research

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​*= Equal Contributors Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our goal is to train a large neural network language model (NNLM) on compute-constrained devices while preserving… Read More »Training Large-Vocabulary Neural Language Model by Private Federated Learning for Resource-Constrained Devices Apple Machine Learning Research