​[[{“value”:” Amazon Lookout for Vision, the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. New customers will not be able to access the service effective October 10,… Read More »Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision Tim Westman AWS Machine Learning Blog

​[[{“value”:” Large vision-language models have emerged as powerful tools for multimodal understanding, demonstrating impressive capabilities in interpreting and generating content that combines visual and textual information. These models, such as LLaVA and its variants, fine-tune large language models (LLMs) on visual instruction data to perform… Read More »SQ-LLaVA: A New Visual Instruction Tuning Method that Enhances General-Purpose Vision-Language Understanding and Image-Oriented Question Answering through Visual Self-Questioning Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards understanding whether an LLM can be computationally equivalent to a universal Turing machine using only its internal mechanisms.… Read More »Researchers from Google DeepMind and University of Alberta Explore Transforming of Language Models into Universal Turing Machines: An In-Depth Study of Autoregressive Decoding and Computational Universality Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of actual photos, needs sampling. The most logical and prevalent approach to this is to construct individual estimators that focus… Read More »New Neural Warp Sampling Method Enhances Photorealistic Rendering: Reducing Variance and Improving Efficiency in Complex Material Interactions Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has significantly advanced by integrating biological principles, such as evolution, into machine learning models. Evolutionary algorithms, inspired by natural selection and genetic mutation, are commonly used to optimize complex systems. These algorithms refine populations of potential solutions over generations based on fitness,… Read More »This AI Paper Introduces Diffusion Evolution: A Novel AI Approach to Evolutionary Computation Combining Diffusion Models and Evolutionary Algorithms Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent developments in generative models have paved the way for innovations in chatbots and picture production, among other areas. These models have demonstrated remarkable performance across a range of tasks, but they frequently falter when faced with intricate, multi-agent decision-making scenarios. This issue is… Read More »Generative World Models for Enhanced Multi-Agent Decision-Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Code Large Language Models (CodeLLMs) have predominantly focused on open-ended code generation tasks, often neglecting the critical aspect of code understanding and comprehension. Traditional evaluation methods might need to be updated and susceptible to data leakage, leading to unreliable assessments. Moreover, practical applications of… Read More »CodeMMLU: A Comprehensive Multi-Choice Benchmark for Assessing Code Understanding in Large Language Models Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs and can process both images and text. While LVLM are impressive at understanding and describing visual content, they sometimes face challenges due to inconsistencies between their visual and language… Read More »Dynamic Contrastive Decoding (DCD): A New AI Approach that Selectively Removes Unreliable Logits to Improve Answer Accuracy in Large Vision-Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories,… Read More »Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business Roshan Thomas AWS Machine Learning Blog

​[[{“value”:” AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit,… Read More »AI Summit: US Energy Secretary Highlights AI’s Role in Science, Energy and Security Brian Caulfield – Archives Page 1 | NVIDIA Blog