Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring,…
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REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models
Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across domains like mathematics, coding, and…
Lees meerURBAN-SIM: Advancing Autonomous Micromobility with Scalable Urban Simulation
Micromobility solutions—such as delivery robots, mobility scooters, and electric wheelchairs—are rapidly transforming short-distance urban travel. Despite their growing popularity as…
Lees meerHow Memory Transforms AI Agents: Insights and Leading Solutions in 2025
The importance of memory in AI agents cannot be overstated. As artificial intelligence matures from simple statistical models to autonomous…
Lees meerNVIDIA AI Releases GraspGen: A Diffusion-Based Framework for 6-DOF Grasping in Robotics
Robotic grasping is a cornerstone task for automation and manipulation, critical in domains spanning from industrial picking to service and…
Lees meerGoogle DeepMind Introduces Aeneas: AI-Powered Contextualization and Restoration of Ancient Latin Inscriptions
The discipline of epigraphy, focused on studying texts inscribed on durable materials like stone and metal, provides critical firsthand evidence…
Lees meerBuilding a GPU-Accelerated Ollama LangChain Workflow with RAG Agents, Multi-Session Chat Performance Monitoring
In this tutorial, we build a GPU‑capable local LLM stack that unifies Ollama and LangChain. We install the required libraries,…
Lees meerRoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics
Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction. At the forefront of this…
Lees meerEraRAG: A Scalable, Multi-Layered Graph-Based Retrieval System for Dynamic and Growing Corpora
Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing…
Lees meerFEEDER: A Pre-Selection Framework for Efficient Demonstration Selection in LLMs
LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL). The main…
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