ChangXin Memory Technologies is launching a 29.5 billion yuan IPO in Shanghai, highlighting founder Zhu Yiming's efforts to build a domestic competitor to global memory-chip giants.
An industry executive discusses the shift in enterprise AI from focusing on model parameters to prioritizing practical business integration and measurable ROI.
A young Harbin Institute of Technology professor has founded a startup focused on developing a tactile-aligned world model for humanoid dexterous manipulation.
Global scientists gathered at the World Artificial Intelligence Conference in Shanghai to discuss the future of computing beyond traditional scaling laws.
A recent industry report highlights a rapid surge in embodied AI, noting that thirteen new models and world models were released in June 2026 alone.
Nine-An Medical plans to invest up to 100 million yuan into a venture capital fund focused on digital technology and software development.
PowerX and Highreso are partnering to integrate battery energy storage systems with GPU cloud infrastructure services.
Zhida Technology has introduced an AI-driven robotic charging solution designed for both residential and public electric vehicle charging environments.
Thinking Machines has introduced a new model called Inkling.
T964 is partnering with Schneider Electric to complete a new data center facility in Iraq by the end of the year.
Wingtech Technology forecasts a net loss of 400 million to 600 million yuan for the first half of 2026, primarily due to operational restrictions at its semiconductor subsidiary Nexperia.
China State Construction Engineering Corporation's parent company plans to increase its stake in the firm through a share buyback program worth up to 1 billion yuan.
South Korean memory chipmaker SK Hynix has raised 26.5 billion dollars in a historic US initial public offering to fund its semiconductor operations.
Southbound capital flows into Hong Kong stocks saw a significant increase, with Chinese AI firm Zhipu receiving over 13.7 billion HKD in net purchases.
A new lightweight, audio-only baseline detects Alzheimer's disease from spontaneous speech recordings using handcrafted acoustic biomarkers instead of relying on transcripts or heavy deep learning models.
Omni-Decision is a training-free agent system designed to track and ground scattered multimodal evidence for complex question-answering tasks.
The authors introduce a framework to measure and ensure the rank stability and precision of domain citations in generative search engine visibility metrics.
Researchers proposed an exponential-linear weight reparameterization method to improve neural network optimization by addressing the multiplicative nature of weight updates.
Researchers introduced DenseAR, a generative paradigm that models autoregressive image generation as coarse-to-fine next-dense-stride predictions using a single-scale tokenizer.
Researchers developed a spatio-temporal transformer model to enable accurate, ECG-free dynamic coronary roadmapping during percutaneous coronary interventions.
The authors present a systematic survey and real-world evaluation of vision-and-language navigation systems to assess their robustness in unconstrained environments.
OmniSCS is a new framework designed to synthesize high-fidelity safety-critical scenarios for autonomous driving by allowing editable agent states and trajectories.
The authors present an auditing framework to verify whether the risk and safety claims made by trained distributional reinforcement learning agents are empirically accurate.
A new study suggests that uneven planning performance in large language models is driven by two distinct latent competencies rather than a single difficulty scale.