Learn more about Microsoft's Copilot’s latest updates, featuring AI-powered tools for meetings, design, and data analysis. Copilot’s AI tools ...

A machine learning framework that uses scarce and sparse experimental data to both predict and inversely design the mechanical behavior of spinodal metamaterials. Why It Matters The method enables ...

Design data and metadata are ballooning, and no one is quite sure how long to save it or what to delete. February 27th, 2025 - By: Adam Kovac The continued unbundling of SoCs into multi-die packages ...

The file to be analyzed by our framework can be specified using the -m flag. PhASAR starts the analysis at the very first instruction of the main() function by default. An example call to an analysis ...

These are people who contributed to the Program Analysis field of study (with all the apology to many more who are not listed here). The emphasis here is on well-knownness and public availability of ...

Accurate thermal analysis, performed throughout the design flow from early 3D floorplanning to final chip signoff, is crucial for capturing die-die and die-package thermal hotspots that can affect ...

In our work, we propose a framework for agile software and hardware co-design named GraphRTL. The tool addresses the challenge of designing hardware for Digital Signal Processing (DSP). Instead of ...

The PROFIT framework provides a comprehensive analysis of the ROI for DA projects. With this method, I have seen companies enhance their market presence and build customer trust.

Good Data vs. Bad Data Collecting data for companies is like gathering pieces of a puzzle in order to help companies see the complete picture, enabling them to make informed and scalable decisions.