​ Generative models have transformed content creation in text, images, and videos. The next frontier is simulating realistic experiences triggered by human and agent actions. A universal simulator, UniSim, is explored for this purpose. UniSim leverages diverse datasets, each capturing different aspects of real-world interactions.… Read More »Meet Universal Simulator (UniSim): An Interactive Simulator of the Real World Interaction Through Generative Modeling Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. And GeForce RTX and NVIDIA RTX GPUs, which are packed with dedicated AI processors called Tensor Cores, are bringing… Read More »Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows Jesse Clayton – Archives Page 1 | NVIDIA Blog

​ The real world contains objects of varying sizes, hues, and textures. Visual qualities, often called states or attributes, can be innate to an item (such as color) or acquired through treatment (such as being cut). Current data-driven recognition models (e.g., deep networks) presuppose robust… Read More »Recognition and Generation of Object-State Compositions in Machine Learning Using “Chop and Learn” Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Almost every aim described in natural language may be optimized by querying a language model. However, a program may frequently provide outputs with greater objective values by making several organized calls to a language model. They refer to these as “scaffolding” programs, and they… Read More »Researchers from Stanford and Microsoft Introduce Self-Improving AI: Leveraging GPT-4 to Elevate Scaffolding Program Performance Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Machine learning is used in almost every aspect of our lives and across various fields. It’s a technology becoming increasingly prevalent and finding applications in many areas. Its relevance is especially important in medicine because it is essential to improving healthcare procedures. Machine learning… Read More »Revolutionizing Wearable Tech: Edge Impulse’s Ultra-Efficient Heart Rate Algorithm & Expanding Healthcare Suite Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ In a broad sense, intelligent agents are autonomous problem solvers endowed with perception, judgment, and action capabilities based on data gathered from their surroundings. Recent applications of this idea have shown promise in developing language agents that can use natural language to do a… Read More »This AI Paper Introduces Lemur and Lemur Chat For Harmonizing Natural Language and Code For Language Agents Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Probabilistic diffusion models have become the established norm for generative modeling in continuous domains. Leading the way in text-to-image diffusion models is DALLE. These models have gained prominence for their ability to generate images by training on extensive web-scale datasets. The paper discusses the… Read More »CMU & Google DeepMind Researchers Introduce AlignProp: A Direct Backpropagation-Based AI Approach to Finetune Text-to-Image Diffusion Models for Desired Reward Function Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They provide advanced technology that combines AI-powered automation with human feedback, deep insights, and expertise. Veriff delivers a proven infrastructure that… Read More »How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints Ricard Borràs AWS Machine Learning Blog

​ In a recent paper, “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” researchers have addressed the challenge of understanding complex neural networks, specifically language models, which are increasingly being used in various applications. The problem they sought to tackle was the lack of interpretability… Read More »Unlocking AI Transparency: How Anthropic’s Feature Grouping Enhances Neural Network Interpretability Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost