保变电气:上半年净利润同比预增76.47%左右
Power equipment manufacturer Baobian Electric projected its first-half net profit for 2026 to increase by approximately 76.47% year-on-year.
Power equipment manufacturer Baobian Electric projected its first-half net profit for 2026 to increase by approximately 76.47% year-on-year.
China's State Council has approved a national plan to boost cultural and tourism consumption, including support for digital art and creative industries.
China's State Council has approved a consumption plan aiming to expand the domestic retail market to approximately 60 trillion yuan by 2030.
Hugging Face has released version 0.6.0 of LeRobot, its open-source library designed for training and evaluating robotic learning models.
The Drift-Aware Temporal Graph Rewiring framework dynamically updates concept relationships to help language models adapt to evolving terminology in biomedical literature.
QuiX Quantum has demonstrated a new photonic architecture designed to integrate quantum computing capabilities into high-performance computing data centers.
In a recent interview, Dreame Technology CEO Yu Hao discussed the company's focus on core technologies and its strategy for global market expansion in the smart home appliance sector.
Jiangsu Hengtong New Energy Smart Control Technology has increased its registered capital by approximately 31% to 770 million yuan.
Chen Longqiang, the former Chief Digital Officer of Baixin Bank, has joined JD Technology as Vice President to oversee non-performing asset acquisition and digital operations.
EV manufacturer Xpeng Motors has established a new sales and service subsidiary in Qingdao with a registered capital of 5 million RMB.
A new physics-informed deep learning architecture called the Trimodal Coherent Co-attention Transformer has been proposed to improve above-ground biomass estimation in tropical forests.
Researchers developed a graph neural network model that analyzes muscle activation patterns to achieve real-time hand gesture recognition for prosthetics and augmented reality.
This paper explores the integration of agentic AI and retrieval-augmented generation models to automate complex decision workflows in actuarial underwriting.
This study evaluates how temporal sampling rates and neural network architectures affect the automated detection of autism-related self-stimulatory behaviors in video.
The paper introduces a framework for balancing user privacy with the data requirements of intelligent, sensor-enabled robotic prostheses.
A new paper introduces an AI-powered tool that combines economic and biophysical models to help policymakers analyze agricultural supply chain disruptions using natural language.
The paper introduces MeCo, a one-step generative corrector based on MeanFlow designed to improve human listening quality in multi-channel speech separation.
Researchers have introduced KG-SoftMAP, a method that integrates weighted knowledge graphs as soft priors to improve Bayesian network structure learning from sparse datasets.
This paper outlines the results of a competition evaluating the ability of large language models to correct optical character recognition errors in historical texts.
The proposed Laplacian Decoupled Feature Enhancement block improves object detection in challenging conditions by better fusing visible and infrared image features.
The Aleena agent framework aims to maintain shared project understanding and design rationale across diverse communication channels in collaborative research software engineering.
The path_boost Python package has been released to provide interpretable, path-based gradient boosting for supervised learning on graph-structured data.
Researchers developed an LSTM-based framework designed to predict vehicle intentions at complex road intersections to improve autonomous driving safety.
The study evaluates the effectiveness of various machine learning algorithms in classifying male fertility status using semen analysis data from the VISEM dataset.