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Rice University: Computer Scientists Awarded $1M NSF Grant to Reduce Waste Through AI
Rice University features AutoEdge's groundbreaking work on automated machine-learning solutions for edge devices, highlighting how AI can reduce industrial waste.
AutoEdge Team
November 15, 2024
All Posts
Rice University: Computer Scientists Awarded $1M NSF Grant to Reduce Waste Through AI
Rice University features AutoEdge's groundbreaking work on automated machine-learning solutions for edge devices, highlighting how AI can reduce industrial waste.
AutoEdge Team
November 15, 2024
AutoEdge Awarded $1M NSF Phase II Grant to Advance Edge AI
The National Science Foundation has awarded AutoEdge a $1 million Phase II SBIR grant to further develop our hardware-aware AutoML platform for resource-constrained devices.
AutoEdge Team
December 1, 2024
AutoEdge Research Wins Best Paper Award: Towards Time Series Prompt Engineering
Our pioneering paper on time series foundation models won the Best Paper Award, demonstrating how prompt engineering can dramatically improve industrial forecasting accuracy.
AutoEdge Team
October 20, 2024
NSF Phase I Grant: Building the Foundation for Edge AI
AutoEdge received NSF SBIR Phase I funding to develop a hardware-aware AutoML platform specifically designed for resource-constrained industrial devices.
AutoEdge Team
September 5, 2024
From Weeks to Minutes: How AutoEdge Transforms Anomaly Detection
Traditional anomaly detection in industrial settings can take weeks. AutoEdge's AI platform reduces this to under 30 minutes, saving thousands per incident.
AutoEdge Team
August 28, 2024
Case Study: 80% Faster Model Training in HVAC Industry
Learn how time series prompts substantially decreased model training time and enhanced forecasting accuracy for a major HVAC manufacturer.
AutoEdge Team
August 15, 2024
Why Explainable AI Matters in Industrial Settings
Understanding why an AI system makes certain predictions is crucial for industrial adoption. Learn how AutoEdge's XAI approach builds operator trust.
AutoEdge Team
July 20, 2024
The Edge Computing Revolution in Manufacturing
Processing data at the edge reduces latency, enhances privacy, and enables real-time decision making. Discover why edge AI is the future of industrial automation.
AutoEdge Team
July 5, 2024
Advancing the State of Industrial AI
Our research contributions are shaping the future of AI in industrial applications
Best Paper Award: Towards Foundation Models for Time Series
Our research demonstrates how prompt engineering can dramatically improve time series forecasting accuracy in industrial applications, reducing model training time by up to 80%.
Read the PaperKey Contributions:
- Novel approach to time series prompt engineering for industrial data
- Significant improvements in forecasting accuracy for HVAC systems
- Framework for encoding domain knowledge in time series models
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