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 ...
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 ...
IEEE

Incremental Semi-Supervised Learning with Adaptive Locality Preservation for High ...

Abstract: Broad Learning System (BLS) has been widely researched and applied in the field of semi-supervised learning. However, current semi-supervised BLS methods rely on pre-defined graph structures ...
List of Banks in Belarus

Supervised Learning in Finance

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...
marktechpost

Memorization vs. Generalization: How Supervised Fine-Tuning SFT and Reinforcement Learning ...

Prior work suggests SFT risks overfitting to training data, making models brittle when faced with new task variants. For example, an SFT-tuned model might excel at arithmetic problems using specific ...