Skip to main content

Share story

AI Policy

SenseTime releases open-source image model that runs on Chinese chips

SenseTime releases open-source image model that runs on Chinese chips Image: Primary
SenseTime, a Chinese AI company known for its facial recognition technology, has released SenseNova U1, an open-source model that it claims can generate and interpret images far faster than top models from US competitors. The model's key innovation is its ability to process images directly without translating them to text first, which speeds up the process and reduces computing power requirements. SenseTime says the model's entire reasoning process is no longer limited to text and can reason with images as well. Like DeepSeek's latest flagship model, SenseNova U1 can run on Chinese-made chips. On release day, 10 Chinese chip designers including Cambricon and Biren Technology announced their hardware supports the model. This flexibility matters because US export controls restrict Chinese firms from accessing advanced AI chips primarily developed by Western companies like Nvidia. SenseTime released U1 for free on Hugging Face and GitHub. The company says it hopes the public release will help it catch up with both domestic and Western AI players after falling behind newer Chinese startups like DeepSeek and MiniMax. SenseTime was founded in 2014 and became a world leader in computer vision. The company has been sanctioned repeatedly by the US government over allegations that its facial recognition technology helped power surveillance systems in China's Xinjiang region, which SenseTime has denied.
Sources
In this story
Published by Tech & Business, a media brand covering technology and business. This story was sourced from WIRED, VentureBeat and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
AI Products
AI Products

Nvidia plans $3 billion Meta investment as companies expand AI partnership

Nvidia said it will invest $3 billion in Meta's equity offering as the companies expand their partnership on Muse models and agents. They plan to optimize training and inference workflows to improve performance and total cost of o...

AI Infrastructure
AI Infrastructure

SAP plans to deploy prediction model on ISS computer by early 2027

SAP announced plans to deploy SAP-RPT, its model for making predictions from structured data, on HPE Spaceborne Computer-2 aboard the International Space Station by early 2027. The company says onboard processing will support anal...

Infrastructure
Infrastructure

TSMC weighs 10%-20% increase in advanced chip packaging prices

TSMC is considering raising advanced chip packaging prices by 10%-20% as AI demand strains capacity, China Times reported, citing supply-chain sources. The potential increase would affect CoWoS, a process that combines chips and h...