The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Deepgram, the real-time API platform underpinning the Voice AI economy, today announced it has raised $130 million in Series C funding at a $1.3 billion valuation. The round was led by AVP, an ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Up to 800 mln euro loss seen by 2026 amid restructuring costs Proposes unchanged dividend of 15 euro cents per share Shares fall 13% in morning trading Shares fell as much as 13%, with market ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
Abstract: Tactics and techniques information in Cyber Threat Intelligence (CTI) represent the objectives of attackers and the means through which these objectives are achieved. The classification of ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
WASHINGTON, Sept 5 (Reuters) - U.S. President Donald Trump said on Friday that Washington was in "very deep" negotiations with Palestinian militant group Hamas and urged them to release all hostages ...
Abstract: Real-world applications have produced massive short text streams. Contrary to the traditional normal texts, they present the characteristics such as short length, only having few labeled ...