​[[{“value”:” Introduction: The Data Dilemma in Earth Observation Over fifty years since the first Landsat satellite, the planet is awash in an unprecedented flood of Earth observation (EO) data from satellites, radar, climate simulations, and in-situ measurements. Yet, a persistent problem remains: while data acquisition… Read More »Meet AlphaEarth Foundations: Google DeepMind’s So Called ‘ Virtual Satellite’ in AI-Driven Planetary Mapping Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Estimated reading time: 5 minutes Table of contents Introduction The ThinkAct Framework Experimental Results Ablation Studies and Model Analysis Implementation Details Conclusion Introduction Embodied AI agents are increasingly being called upon to interpret complex, multimodal instructions and act robustly in dynamic environments. ThinkAct, presented… Read More »NVIDIA AI Presents ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into structured documentation. The process of creating handouts from presentations requires lots of manual effort, such as reviewing recordings to identify slide transitions, transcribing spoken content, capturing and organizing screenshots,… Read More »Automate the creation of handout notes using Amazon Bedrock Data Automation Laura Verghote Artificial Intelligence

​[[{“value”:” Customers are increasingly looking to use the power of large language models (LLMs) to solve real-world problems. However, bridging the gap between these LLMs and practical applications has been a challenge. AI agents have appeared as an innovative technology that bridges this gap. The… Read More »Streamline GitHub workflows with generative AI using Amazon Bedrock and MCP Ajeet Tewari Artificial Intelligence

​New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring  Read More  

​In this article, you will learn: • Why standard scaling methods are sometimes insufficient and when to use advanced techniques. In this article, you will learn: • Why standard scaling methods are sometimes insufficient and when to use advanced techniques.  Read More  

​[[{“value”:” Recent advances in large language models (LLMs) have encouraged the idea that letting models “think longer” during inference usually improves their accuracy and robustness. Practices like chain-of-thought prompting, step-by-step explanations, and increasing “test-time compute” are now standard techniques in the field. However, the Anthropic-led… Read More »Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image resolution creates significant challenges. First, pretrained vision encoders often struggle with high-resolution images due to inefficient pretraining… Read More »Apple Researchers Introduce FastVLM: Achieving State-of-the-Art Resolution-Latency-Accuracy Trade-off in Vision Language Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost