S2C, MachineWare, and Andes Introduce RISC-V Co-Emulation Solution to Accelerate Chip Development

S2C, MachineWare, and Andes Technology today announced a collaborative co-emulation solution designed to address the increasing complexity of RISC-V-based chip design. The solution integrates ...

Data warehousing in the AI era starts with sovereignty

EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...
IEEE

Robust Classification of Breast Cancer with Support Vector Machine

Abstract: Among women worldwide, breast cancer is among the most often occurring and deadly diseases. Improving survival rates depends mostly on early diagnosis, which has driven the application of ...
IEEE

A Wasserstein Distributionally Robust Multiclass Support Vector Machine for Industrial Fault Diagnosis

Abstract: Modern fault diagnosis models that rely on machine learning and AI tools have been beset by three key challenges: first, highly uncertain training data due to sensor noise and potentially ...
techxplore

Machines whisper before they scream: We built an AI model that predicts expensive problems

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...
C&EN

Machine Learning Approaches for Optimizing Drug Combinations in Neurodegenerative Diseases: A Brief Review

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
GitHub

Radiation-Tolerant Machine Learning Framework

Space-Radiation-Tolerant is a research project by Rishab Nuguru with core principles focused around sustainability in space. RadML was designed to help provide cost efficient solution for COTS ...