Tech XploreOpinion

Is recursive self‑improvement the dawning of AI superintelligence?

The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about ...
The Cipher Brief

After the Intelligence Cycle: A New Schema for AI-Native Intelligence Analysis

Recent discussion of artificial intelligence in intelligence analysis has consistently framed the technology as a means of accelerating an existing process. The intelligence cycle (collection, ...

AI models tuned to S’pore patients’ clinical data being built under new national drive

Discover how new AI models are being built using Singapore patients' clinical data to improve healthcare diagnoses and ...
IEEE

Optimizing Decompiler Output by Eliminating Redundant Data Flow in Self-Recursive Inlining

Abstract: Decompilation, which aims to lift a binary to a high-level language such as C, is one of the most common approaches software security analysts use for analyzing binary code. Recovering ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...