​ Home Table of Contents Netflix Movies and Series Recommendation Systems Overview of Netflix Recommendations Data Sources Objectives of Netflix Recommendations Diversity Awareness Freshness Ranking Personalized Home Page Rule- and Ranking-Based Approaches Machine Learning for Page Generation Page-Level Metrics Artwork Personalization Contextual Bandits Approach Performance… Read More »Netflix Movies and Series Recommendation Systems Puneet Mangla PyImageSearch

​ Generative AI has emerged as a transformative force across numerous sectors, including the automobile industry, where its influence is on the rise. With applications from manufacturing advancements to enhanced automation, passenger well-being, and safety, generative AI can revolutionize various aspects of the automotive landscape.… Read More »The Groundbreaking Influence of Generative AI in the Automotive Industry Arham Islam Artificial Intelligence Category – MarkTechPost

​ It is widely recognized that artificial intelligence (AI) has made significant strides in recent years, leading to remarkable achievements and breakthrough outcomes. However, it is not true that AI can attain equally impressive results across all tasks. For instance, while AI can surpass human… Read More »This AI Tool Explains How AI ‘Sees’ Images And Why It Might Mistake An Astronaut For A Shovel Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ Implicit neural representations (INRs) or neural fields are coordinate-based neural networks representing a field, such as a 3D scene, by mapping 3D coordinates to color and density values in 3D space. Recently, neural fields have gained a lot of traction in computer vision as… Read More »Why Deep Learning is Always Done on Array Data? New AI Research Introduces ‘Spatial Functa,’ Where From Data to Functa is Treated Like One Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Enormous large language models (LLMs) can exhibit appealing skills like producing human-like discourse and responding to complicated inquiries because they have been trained at scale on large text corpora. While undoubtedly amazing, most cutting-edge LLMs are trained on text-only data downloaded from the Internet.… Read More »CMU Researchers Introduce FROMAGe: An AI Model That Efficiently Bootstraps Frozen Large Language Models (LLMs) To Generate Free-Form Text Interleaved With Images Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Anonymization is a critical problem in the context of face recognition and identification algorithms. With the increasing productization of these technologies, ethical concerns have emerged regarding the privacy and security of individuals. The ability to recognize and identify individuals through their facial features raises… Read More »Researchers From Binghamton University Introduce A Privacy-Enhancing Anonymization System (My Face, My Choice) For Everyone To Have Control Over Their Faces In Social Photo Sharing Networks Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ A Field Programmable Gate Array (FPGA) is an integrated circuit that can be configured and customized after manufacturing. These chips are called “field-programmable” because of this ability. They consist of programmable logic blocks that can be set up to carry out a wide range… Read More »What is Field Programmable Gate Array (FPGA): FPGA vs. GPU for Artificial Intelligence (AI) Arham Islam Artificial Intelligence Category – MarkTechPost

​ Diffusion models have been widely used with remarkable success in text-to-image generation in recent years, leading to significant improvements in image quality, inference performance, and the scope of our creative possibilities. However, effective generation management remains a challenge, especially under conditions that are hard… Read More »Google AI Introduces MediaPipe Diffusion Plugins That Enable Controllable Text-To-Image Generation On-Device Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. In recent studies, LLMs have been proposed as task-specific training data generators to reduce the necessity of task-specific data and annotations, especially for text classification. Though… Read More »A New AI Research Introduces AttrPrompt: A LLM-as-Training-Data-Generator for a New Paradigm in Zero-Shot Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost