​ There has been notable progress in the text-to-image domain, sparking a surge of enthusiasm within the research community to expand into 3D generation. This excitement is largely due to the emergence of approaches that make use of pre-trained 2D text-to-image diffusion models. An important… Read More »NTU Singapore Researchers Propose IT3D: A New Plug-and-Play Refinement AI Method for Text-to-3D Generation Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ How to replace a character in a string in Python? To replace a character in a string using Python, you can utilize the str.replace() method. This method takes two arguments, the old character you want to replace and the new character you want to… Read More »Python Replace Character in String Malli Spark By {Examples}

​ In the rapidly evolving landscape of artificial intelligence (AI), generative models are creating photorealistic images that are nearly indistinguishable from those captured by traditional means. While this technology unlocks immense creative potential, it also raises concerns about the spread of misinformation and the need… Read More »Google Researchers Introduce 𝗦𝘆𝗻𝘁𝗵𝗜𝗗: A Digital Tool to Watermark and Identify AI-Generated Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Python’s popularity has surged recently, driven by its user-friendly nature and extensive libraries. However, the language’s efficiency has been a consistent concern, with Python code often running significantly slower than other programming languages. This disparity in speed has led to the development of an… Read More »Computer Scientists from the University of Massachusetts Amherst Developed Scalene: An Open-Source AI Tool for Dramatically Speeding Up Python Programming Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Modern deep-learning algorithms are now focused on problem environments where training occurs just once on a sizable data collection, never again—all of the early triumphs of deep learning in voice recognition and picture classification employed such train-once settings. Replay buffers and batching were later… Read More »This AI Research Addresses the Problem of ‘Loss of Plasticity’ in Deep Learning Systems When Used in Continual Learning Settings Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ DevOpsGPT blends Large Language Models (LLMs) and DevOps tools to create an AI-driven automation solution for software development. DevOpsGPT can transform requirements expressed in natural language into functional software using this novel approach, boosting efficiency, decreasing cycle time, and reducing communication expenses. How DevOpsGPT… Read More »Meet DevOpsGPT: A Multi-Agent System that Combines LLM with DevOps Tools to Convert Natural Language Requirements into Working Software Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Recent advancements have enabled computers to interpret and understand visual information from the world, much like human vision. It involves processing, analyzing, and extracting meaningful information from images and videos. Computer Vision enables automation of tasks that require visual interpretation, reducing the need for… Read More »Google Researchers Introduce RO-ViT: A Simple AI Method to Pre-Train Vision Transformers in a Region-Aware Manner to Improve Open-Vocabulary Detection Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Recent advancements in text-to-image models have led to sophisticated systems capable of generating high-quality images based on brief scene descriptions. Nevertheless, these models encounter difficulties when confronted with intricate captions, often resulting in the omission or blending of visual attributes tied to different objects.… Read More »Meet DenseDiffusion: A Training-free AI Technique To Address Dense Captions and Layout Manipulation In Text-to-Image Generation Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Powered by Amazon Lex, the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and… Read More »Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models Clevester Teo AWS Machine Learning Blog

​Posted by Vikas Bahirwani, Research Scientist, and Susan Xu, Software Engineer, Google Augmented Reality Automatic speech recognition (ASR) technology has made conversations more accessible with live captions in remote conferencing software, mobile applications, and head-worn displays. However, to maintain real-time responsiveness, live caption systems often… Read More »Modeling and improving text stability in live captions Google AI Google AI Blog