How agents acquire abstract concepts from sparse, diverse examples—often without explicit supervision—remains a central ...

AWS and NVIDIA will deploy 2 million additional GPUs and deepen collaboration across CPUs, networking, and robotics.

A new review maps the fast-moving landscape of AI-driven drug-target interaction (DTI) prediction, revealing how the field ...

A new review maps the fast-moving landscape of artificial intelligence (AI)-driven drug-target interaction (DTI) prediction, showing how the field has progressed from hand-crafted molecular features ...

With the back-to-school season underway, Google is introducing new study tools across the Gemini app and Search.

Overview of the ZINB-GRAN: Starting with the count matrix from scRNA-seq data as input, ZINB-GRAN first constructs a WGCN from gene expression data. Based on this WGCN, it builds an initial regulatory ...

Figure 1. Overall framework of MIGDTA. GCN: graph convolutional network; GIN: graph isomorphism network; CNN: convolutional neural network; MLP: multi-layer ...

Abstract: Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Developmental and reproductive toxicity (DART) testing has traditionally relied on animal studies, which are costly, time-consuming, and ethically constrained. To advance new approach methodologies ...

In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...