​ Accurate segmentation of multiple objects is essential for various scene understanding applications, such as image/video processing, robotic perception, and AR/VR. The Segment Anything Model (SAM) was recently released, a basic vision model for broad image segmentation. It was trained using billion-scale mask labels. SAM… Read More »ETH Zurich and HKUST Researchers Propose HQ-SAM: A High-Quality Zero-Shot Segmentation Model By Introducing Negligible Overhead To The Original SAM Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ By enabling users to connect with tools and services, systems that can follow directions from graphical user interfaces (GUIs) can automate laborious jobs, increase accessibility, and increase the utility of digital assistants. Many GUI-based digital agent implementations rely on HTML-derived textual representations, which aren’t… Read More »Meet Pix2Act: An AI Agent That Can Interact With GUIs Using The Same Conceptual Interface That Humans Commonly Use Via Pixel-Based Screenshots And Generic Keyboard And Mouse Actions Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. AWS Deep Learning Containers already provides pre-built Docker images for training and serving models in common frameworks such as TensorFlow, PyTorch,… Read More »Get started with the open-source Amazon SageMaker Distribution Durga Sury AWS Machine Learning Blog

​ Customers expect quick and efficient service from businesses in today’s fast-paced world. But providing excellent customer service can be significantly challenging when the volume of inquiries outpaces the human resources employed to address them. However, businesses can meet this challenge while providing personalized and… Read More »Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart Marcelo Silva AWS Machine Learning Blog

​ Apple has announced the release of Apple Vision Pro, a groundbreaking spatial computer that seamlessly integrates digital content with the physical world. This innovative device utilizes a fully three-dimensional user interface controlled by the user’s eyes, hands, and voice, offering unprecedented interaction. Powered by… Read More »Discovering the Apple Vision Pro: 6 Mind-Blowing Hidden Features to Explore Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In recent times, there has been significant progress in Natural Language Understanding and Natural Language Generation. The best example is the well-known ChatGPT developed by OpenAI, which has been in the headlines ever since its release. Though there has been incredible growth in the… Read More »Stanford Researchers Introduce CWM (Counterfactual World Modeling): A Framework That Unifies Machine Vision Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Amazon Personalize now enables popularity tuning for its Similar-Items recipe (aws-similar-items). Similar-Items generates recommendations that are similar to the item that a user selects, helping users discover new items in your catalog based on the previous behavior of all users and item metadata. Previously,… Read More »Introducing popularity tuning for Similar-Items in Amazon Personalize Julia Clark AWS Machine Learning Blog

​ How to format a string in Kothin? Formatting string is a standard operation in most programming languages, including Kotlin. In Kotlin, you can use the String.format() function or the string interpolation feature to format strings. Formatting involves concatenating strings, padding strings with whitespace, formatting… Read More »Format String in Kotlin With Examples Asif Spark By {Examples}

​ In a revolutionary leap forward, generative retrieval approaches have emerged as a disruptive paradigm in information retrieval methods. Harnessing the potential of advanced sequence-to-sequence Transformer models, these approaches aim to transform how we retrieve information from vast document corpora. Traditionally limited to smaller datasets,… Read More »Scaling Generative Retrieval: Google Research and University of Waterloo’s Empirical Study on Generative Retrieval Across Diverse Corpus Scales, Including a Deep Dive into the 8.8M-Passage MS MARCO Task Niharika Singh Artificial Intelligence Category – MarkTechPost