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​[[{“value”:” Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document… Read More »How BQA streamlines education quality reporting using Amazon Bedrock Maram AlSaegh AWS Machine Learning Blog

​[[{“value”:” Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service… Read More »Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience Rueben Jimenez AWS Machine Learning Blog

​[[{“value”:” Large reasoning models are developed to solve difficult problems by breaking them down into smaller, manageable steps and solving each step individually. The models use reinforcement learning to enhance their reasoning abilities and develop very detailed and logical solutions. However, while this method is… Read More »Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow into the o1-like Reasoning Process of LRM for Achieving Autonomous Knowledge Supplementation Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks such as fine-grained recognition, visual grounding, reasoning, and multi-step problem-solving. Existing open-source multi-modal language models are found to be wanting in these areas, especially for tasks that involve external tools such as… Read More »Salesforce AI Introduces TACO: A New Family of Multimodal Action Models that Combine Reasoning with Real-World Actions to Solve Complex Visual Tasks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid growth of digital platforms has brought image safety into sharp focus. Harmful imagery—ranging from explicit content to depictions of violence—poses significant challenges for content moderation. The proliferation of AI-generated content (AIGC) has exacerbated these challenges, as advanced image-generation models can easily create… Read More »Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed to Address the Shortcomings of Traditional Image Safety Systems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) is revolutionizing how discoveries are made. AI is creating a new scientific paradigm with the acceleration of processes like data analysis, computation, and idea generation. Researchers want to create a system that eventually learns to bypass humans completely by completing the… Read More »Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for Automating Scientific Research with Iterative Feedback Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” GANs are often criticized for being difficult to train, with their architectures relying heavily on empirical tricks. Despite their ability to generate high-quality images in a single forward pass, the original minimax objective is challenging to optimize, leading to instability and risks of mode… Read More »R3GAN: A Simplified and Stable Baseline for Generative Adversarial Networks GANs Sana Hassan Artificial Intelligence Category – MarkTechPost