Meet Microsoft’s Open-Sourced KubeAI Application Nucleus: A Solution Accelerator for Creating, Deploying, and Operating Environment-Aware Solutions at Scale that Use Artificial Intelligence (AI) at the Edge Niharika Singh Artificial Intelligence Category – MarkTechPost

Computer vision has become increasingly important in industrial applications, serving product line management, stock control, and safety monitoring functions. However, utilizing computer vision at the edge of a network poses challenges, particularly regarding latency and reliance on mixed networks or cloud resources. To address… Read More »Meet Microsoft’s Open-Sourced KubeAI Application Nucleus: A Solution Accelerator for Creating, Deploying, and Operating Environment-Aware Solutions at Scale that Use Artificial Intelligence (AI) at the Edge Niharika Singh Artificial Intelligence Category – MarkTechPost

Robustness in Multimodal Learning under Train-Test Modality Mismatch Apple Machine Learning Research

Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation that naturally arises in many… Read More »Robustness in Multimodal Learning under Train-Test Modality Mismatch Apple Machine Learning Research

Growing and Serving Large Open-domain Knowledge Graphs Apple Machine Learning Research

*= Equal Contributors Applications of large open-domain knowledge graphs (KGs) to real-world problems pose many unique challenges. In this paper, we present extensions to Saga our platform for continuous construction and serving of knowledge at scale. In particular, we describe a pipeline for training knowledge… Read More »Growing and Serving Large Open-domain Knowledge Graphs Apple Machine Learning Research

Unconstrained Channel Pruning Apple Machine Learning Research

Modern neural networks are growing not only in size and complexity but also in inference time. One of the most effective compression techniques — channel pruning — combats this trend by removing channels from convolutional weights to reduce resource consumption. However, removing channels is non-trivial… Read More »Unconstrained Channel Pruning Apple Machine Learning Research

Language Models Do Not Recognize Identifier Swaps in Python: This AI Paper Explores the Ability of LLMs to Predict the Correct Continuations of Fragments of Python Programs Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Pretrained Large Language Models (LLMs) are quickly taking over as the main paradigm for a wide range of linguistic activities, including creating and completing computer code. LLMs have shown improved performance with increasing model size on many real-world tasks, including programming tasks. More recently,… Read More »Language Models Do Not Recognize Identifier Swaps in Python: This AI Paper Explores the Ability of LLMs to Predict the Correct Continuations of Fragments of Python Programs Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Best AI 3D Generators in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

The finest artificial intelligence (AI) text-to-3D generator for you will vary depending on your requirements. Using the AI 3D generators, you may make 3D models from scratch using just text, images, or videos. Numerous applications can benefit from this, including 3D printing and the… Read More »Best AI 3D Generators in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker Gordon Wang AWS Machine Learning Blog

The demand for multi-object tracking (MOT) in video analysis has increased significantly in many industries, such as live sports, manufacturing, and traffic monitoring. For example, in live sports, MOT can track soccer players in real time to analyze physical performance such as real-time speed… Read More »Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker Gordon Wang AWS Machine Learning Blog

Meet Neuralangelo: Nvidia’s AI Revolutionizing 2D to 3D Video Conversion Shobha Kakkar Artificial Intelligence Category – MarkTechPost

Nvidia, the multinational technology corporation known for its advancements in artificial intelligence (AI), has recently unveiled Neuralangelo, a groundbreaking AI system that can convert 2D video into immersive 3D scenes. This pioneering technology was introduced in an Nvidia blog post dated June 1, 2023.… Read More »Meet Neuralangelo: Nvidia’s AI Revolutionizing 2D to 3D Video Conversion Shobha Kakkar Artificial Intelligence Category – MarkTechPost

ChatGPT Prompts For Web Developers Narender Kumar Spark By {Examples}

Web development is an ever-evolving field that requires constant learning and problem-solving. As a web developer, finding inspiration and generating ideas for new projects can sometimes be challenging. That’s where ChatGPT, an AI language model, comes in handy. With its ability to generate text… Read More »ChatGPT Prompts For Web Developers Narender Kumar Spark By {Examples}

Revolutionizing AI Efficiency: Meta AI’s New Approach, READ, Cuts Memory Consumption by 56% and GPU Use by 84% Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Multiple Natural Language Processing (NLP) tasks have been completed using a large-scale transformers architecture with state-of-the-art outcomes. Large-scale models are typically pre-trained on generic web-scale data and then fine-tuned to specific downstream goals. Multiple gains, including better model prediction performance and sample efficiency, have… Read More »Revolutionizing AI Efficiency: Meta AI’s New Approach, READ, Cuts Memory Consumption by 56% and GPU Use by 84% Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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