The big technology player is a top-performing stock of 2025. The stock once again has one of the largest market caps in the world, and now trades at a much higher price-to-earnings ratio (P/E). Does ...

Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...

Nvidia controls around 90% of the AI accelerator market, but that dominance may have peaked. Alphabet's TPU chips offer significant cost advantages for inference workloads, which are growing faster ...

Tensor (TNSR) is today’s top gainer with a 90% price jump. Weekly gains now exceed 340% amid broader market losses The rally occurred without major news or platform developments, raising concerns.

The Google parent company is on track to finish with a market capitalization ahead of Microsoft's for the first time since 2018 Microsoft has made moves in AI, but one analyst worries that it's ...

The abundance analysis in the tutorial (https://github.com/soedinglab/MMseqs2/wiki/Tutorials#abundance-analysis) suggests mmseqs prefilter to be set at -s 2 since ...

Abstract: To explore the online tensor analysis technique in single-aspect streaming model, a tensor based unified framework encompassed more tensor formats than one is proposed according to the ...

Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...