About
Research & Development
Detecting Anomalies in Bitcoin Trading: A Look at Statistical vs. Machine Learning Models
TLDR: A study compared 13 statistical and machine learning models for real-time outlier detection in Bitcoin limit order books using a unified testing environment...
Research & Development
Autonomous AI Agents Are Reshaping Software Development: Insights from the AIDev Dataset
TLDR: A new dataset, AIDev, reveals how autonomous AI coding agents like OpenAI Codex and GitHub Copilot are actively contributing to open-source projects. While...
Research & Development
GenAI’s Role in Automotive Software: From Concept to Code
TLDR: This research paper surveys the adoption of Generative AI (GenAI) in automotive software development, covering its application from requirements handling to executable code...
Research & Development
WebShaper: A Formalized Approach to Generating Training Data for Information-Seeking AI Agents
TLDR: WebShaper is a new framework that uses a formal, set-theory-based approach to synthesize high-quality training data for AI agents that seek information online....
Research & Development
Navigating Uncertainty: A New Approach to Robust Control in AI Systems
TLDR: This paper introduces a new robust control framework that accounts for uncertainty in the value function's gradient, a common issue in AI systems...
Research & Development
Collaborative Analog Circuit Design with Federated AI
TLDR: AnalogFed is a new framework that uses federated learning to enable collaborative design of analog circuits without sharing sensitive proprietary data. It allows...