Neel Somani explains why interpretability must evolve faster than model size

When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...

From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
IEEE

Quo Vadis Pathology? Advancing Glomerular Lesion Classification with Foundation Models

Abstract: Computational pathology is undergoing a significant transformation with the emergence of foundation models (FMs). These models leverage self-supervised learning on extensive ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
Devdiscourse

Regulatory gaps emerge as EU banks deploy AI under conflicting AML and AI rules

Under the revised EU AML/CFT package, institutions are expected to adopt more sophisticated, proactive approaches to ...

A new gig rises, will it scale up?

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...