Monocle

Why vernacular architecture will define 2026

Sitting on Monocle’s design desk means the start of January is typically spent contemplating the architectural direction that ...
IEEE

Automated Testing for Service-Oriented Architecture: Leveraging Large Language Models for Enhanced Service Composition

Abstract: This article explores the application of Large Language Models (LLMs), including proprietary models such as OpenAI’s ChatGPT 4o and ChatGPT 4o-mini, Anthropic’s Claude 3.5 Sonnet and Claude ...
ADTmag

Building Real-Time Systems: From Sensor Data to Natural Language Queries

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...
GitHub

The-Swarm-Corporation/VLAM

VLAM (Vision-Language-Action Mamba) is a novel multimodal architecture that combines vision perception, natural language understanding, and robotic action prediction in a unified framework. Built upon ...
EurekAlert!

Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...
IEEE

Optimizing Veterinary Language Modeling with Mamba Architecture for Long-Sequence Efficiency

Abstract: This paper introduces VetMamba, a veterinary language model leveraging the Mamba architecture for efficient long-sequence processing. Unlike traditional transformer-based models, which ...