Teaching thermodynamic laws to AI unlocks a polymer modeling challenge

For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.
IEEE

In-Memory Computing for Machine Learning and Deep Learning

Abstract: In-memory computing (IMC) aims at executing numerical operations via physical processes, such as current summation and charge collection, thus accelerating common computing tasks including ...
IEEE

CircuitNet: An Open-Source Dataset for Machine Learning in VLSI CAD Applications With Improved Domain-Specific Evaluation Metric and Learning Strategies

Abstract: The design automation community has been actively exploring machine learning (ML) for very-large-scale-integrated (VLSI) computer-aided design (CAD). Many studies have explored ...
Analytics Insight

Top IBM Professional Certification Programs for 2026

IBM offers beginner-to-advanced certification courses in high-demand fields, including data science, AI, cloud computing, cybersecurity, DevOps, and software development, with practical project-based ...