This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Vespa.ai, the creator of the AI Search Platform for building and deploying large-scale, real-time AI applications powered by ...

Futures fell after the stock market jumped up to a key level. Nvidia fell on Google AI chip news. Alibaba rose on mixed ...

The major indexes broke above their 50-day moving averages, despite Nvidia and AMD woes. Here's what to do now.

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Virus-like particles (VLPs) offer powerful gene delivery but face limits in targeting and complexity. Here, the authors create a streamlined SFV-based VLP platform that delivers mRNA, protein, or RNP ...

Abstract: Clustering is an important unsupervised learning technique widely applied in data analysis and pattern recognition. Graph-based clustering methods have gained attention for their ability to ...

Abstract: CANDECOMP/PARAFAC (CP) decomposition is the mostly used model to formulate the received tensor signal in a massive MIMO system, as the receiver generally sums the components from different ...

ABSTRACT: It is known that the cosmological constant can be dynamically tuned to an arbitrary small value in classes of scalar tensor theories. The trouble with such schemes is that effective gravity ...