A Q&A with Amanda Askell, the lead author of Anthropic’s new 'constitution' for AIs

The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...
Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
The 74 on MSN

Google DeepMind’s learnings in developing an AI tutor

Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with educators, school leaders, students and other members of school communities as ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples

Abstract: Semi-supervised learning (SSL) methods have shown promising results in solving many practical problems when only a few labels are available. The existing methods assume that the class ...
Frontiers

BERT Bi-modal self-supervised learning for crop classification using Sentinel-2 and Planetscope

Crop identification and monitoring of crop dynamics are essential for agricultural planning, environmental monitoring, and ensuring food security. Recent advancements in remote sensing technology and ...