What most corporate carbon reports get wrong, and how to fix them

A new Stanford-led analysis of corporate carbon disclosures finds that companies undercount emissions from their supply ...

Eye for trouble: Automated counting for chromosome issues under the microscope

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Beyond Blueprints: Why Financial Services AI Governance Needs Both Architecture and Topology

To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...
IEEE

On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors

Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...

Twist to Reshape, Shift to Transform: Bilayer Structure Enables Multifunctional Imaging

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...
IEEE

Understanding Error Propagation in Deep-Learning Neural Networks’ Accelerators and Applications

Abstract: Editor’s notes: This article reviews some of the first experiments on deep neural networks to analyze the propagation of soft errors from hardware to the ...