Explore Research Studies
AI Apps with MCP Memory Benchmark & Tutorial
We compared various memory tools using LangChain’s ReAct Agent and four different Model Context Protocol memory servers to determine which performs best. Also, we explored how to integrate Claude with Cursor to implement context-aware shared memory with OpenMemory MCP. This integration allowed us to demonstrate how memory is retrieved and managed in real-time.
GPU Concurrency Benchmark
We benchmarked the latest NVIDIA GPUs, including the NVIDIA (H100, H200, and B200) and AMD (MI300X), for concurrency scaling analysis. Using the vLLM framework with the gpt-oss-20b model, we tested how these GPUs handle concurrent requests, from 1 to 1024.
Top 29 DevOps Automation Tools for Efficient Workflows
35% of last year’s automation efforts were dedicated to DevOps automation, based on a recent report on IT automation. This reflects the growing need for tools that help development and operations teams automate their development process and efficiently implement DevOps practices.
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional research requires weeks of finding participants, scheduling interviews, and analyzing results manually. Synthetic user platforms enable teams to create thousands of realistic user profiles instantly, allowing them to test ideas, messaging, and user flows.
Top 15 AI Agent Observability Tools: Langfuse, Arize & More
Observability tools for AI agents, like Langfuse and Arize, help gather detailed traces (a record of the processing of a program or transaction) and provide dashboards to track metrics in real-time. Many agent frameworks, like LangChain, use the OpenTelemetry standard to share metadata with observability tools.
Building a No-Code AI Lead Generation Workflow with n8n
I have been reviewing popular AI sales agents, including AiSDR and Outreach.io. While these platforms support lead management, they are typically focused on broader sales engagement and delivered as commercial packages with costs ranging from $2K to $5K per user per month.
Time Series Foundation Models: Use Cases & Benefits
Time series foundation models (TSFMs) build on advances in foundation models from natural language processing and vision. Using transformer-based architectures and large-scale training data, they achieve zero-shot performance and adapt across sectors such as finance, retail, energy, and healthcare.
Multimodal AI in Healthcare: Use Cases with Examples
Healthcare systems face challenges in delivering accurate diagnoses, timely interventions, and personalized treatments, often because critical patient information is scattered across different data sources. Multimodal AI offers a solution by combining medical images, clinical notes, lab results, and other data into a unified framework that mirrors how clinicians think and reason.
AI-Based Stock Trading: Which Gen AI Tool Is Better
Although LLM tools have been used in AI-based stock trading since their emergence, the growing availability of these tools raises the question of which generative AI solution offers the best accuracy in predicting stock markets.
Hyper-Personalization in Marketing: Use Cases & Examples
Gen Z is reshaping retail with unique consumer behaviors. With their projected $12 trillion spending power by 2030, they will heavily influence what brands sell.They see marketing as valuable only when it is authentic, values-driven, and empathetic, rejecting anything that feels fake, jargon-heavy, or disconnected from real people and causes.