The demand for AI-powered coding tools has exploded—with open-source alternatives now rivaling commercial solutions like Cursor in features, flexibility, and privacy. If you’re seeking a powerful, cost-effective, and open-source code assistant, consider these top picks for 2025: 1. Zed Zed is a high-performance, open-source code editor designed for both humans and AI collaboration. Built by the…
In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large Language Models (LLMs) like GPT-4o-mini make this process more accurate and context-aware. LLMs are especially useful when working with messy, unstructured data. Using Python,…
The Model Context Protocol (MCP) is changing how intelligent agents interact with backend services, applications, and data. A successful MCP implementation project hinges on much more than writing protocol-compliant code. Systematic adoption involves architecture, security, user experience, and operational rigor. Here’s a data-driven look at essential components that ensure MCP projects deliver value and resilience in production…
Micromobility solutions—such as delivery robots, mobility scooters, and electric wheelchairs—are rapidly transforming short-distance urban travel. Despite their growing popularity as flexible, eco-friendly transport alternatives, most micromobility devices still rely heavily on human control. This dependence limits operational efficiency and raises safety concerns, especially in complex, crowded city environments filled with dynamic obstacles like pedestrians and…
Robotic grasping is a cornerstone task for automation and manipulation, critical in domains spanning from industrial picking to service and humanoid robotics. Despite decades of research, achieving robust, general-purpose 6-degree-of-freedom (6-DOF) grasping remains a challenging open problem. Recently, NVIDIA unveiled GraspGen, a novel diffusion-based grasp generation framework that promises to bring state-of-the-art (SOTA) performance with unprecedented…
Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing with up-to-date facts, domain-specific information, or complex multi-hop reasoning. Retrieval-Augmented Generation (RAG) approaches aim to address these gaps by allowing language models to retrieve and integrate information from external sources. However, most existing graph-based RAG…
Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the introduction of Energy-Based Transformers (EBTs)—a family of neural architectures specifically designed to enable “System 2 Thinking” in machines without relying on domain-specific supervision or restrictive training signals. From Pattern…
Introduction Wearable devices are transforming health monitoring by enabling continuous collection of physiological and behavioral signals such as heart rate, activity, temperature, and skin conductance. However, the real-world data that these devices generate is highly prone to missingness due to sensor failures, device removal, charging, motion artifacts, battery-saving modes, and other interruptions. This presents a…
Model Context Protocol (MCP) servers have fast become a backbone for scalable, secure, and agentic application integrations, especially as organizations seek to expose their services to AI-driven workflows while keeping developer experience, performance, and security intact. Here are seven data-driven best practices for building, testing, and packaging robust MCP servers. 1. Intentional Tool Budget Management Define…
In this tutorial, we are excited to introduce the Advanced PubMed Research Assistant, which guides you through building a streamlined pipeline for querying and analyzing biomedical literature. In this tutorial, we focus on leveraging the PubmedQueryRun tool to perform targeted searches, such as “CRISPR gene editing,” and then parse, cache, and explore those results. You’ll…