搜尋結果
- SenseTime will be providing generative AI, biometric facial authentication, behavioral analytics, and smart city technology to the firm.
www.biometricupdate.com/202406/sensetime-eyes-generative-ai-as-revenue-alternative-to-facial-recognitionSenseTime eyes generative AI as revenue alternative to facial recognition
4 天前 · SenseTime, known for facial recognition, sees substantial revenue growth in generative AI, accounting for 34.8% of total revenue. CEO Xu Li targets 100% growth in generative AI business for the current year. Recent releases include SenseNova LLM and
4 天前 · Chinese artificial intelligence firm SenseTime, known for its facial recognition technology, is zooming in on another source of income – generative AI. SenseTime Co-founder and CEO Xu Li says that its generative AI business recorded almost a 200 percent year
5 天前 · SenseTime Group Inc, a leading Shanghai-based artificial intelligence software company, is doubling down on its development efforts on SenseCore, its AI infrastructure, to drive innovation and implementation of AI tasks in enterprises.
5 天前 · SenseTime Group Inc, a leading Shanghai-based artificial intelligence software company, is doubling down on its development efforts on SenseCore, its AI infrastructure, to drive innovation and implementation of AI tasks in enterprises.
4 天前 · SenseTime is debuting its first autonomous-driving bus blending AI with augmented reality technology. The minibus can realize a Level 4, or 'high automation' driving level, where the vehicle does not require human intervention in given conditions.
1 天前 · In a May 21, 2024 paper researchers from the Technical University of Munich, Kyoto University, the AI software company SenseTime, and the National Institute of Informatics in Japan, introduced MELD-ST, a new dataset created to improve speech-to-text (S2TT) and speech-to-speech translation (S2ST) by integrating emotional context into the translation process.
2 天前 · In summary, our contributions are as follows: 1) We introduce an end-to-end optimization-based face verification system using lensless cameras. The proposed method brings improvements in privacy, accuracy, and speed when compared to conventional two-stage lensless face verification techniques.
