Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...

Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...

Knowledge distillation has emerged as a pivotal technique in artificial intelligence, enabling the creation of compact, efficient models from larger, more complex ones, which is transforming ...

The original version of this story appeared in Quanta Magazine. The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it ...

1 Computer Science Department, Computer Systems Engineering Laboratory, Faculty of Sciences Semlalia Cadi Ayyad University, Marrakesh, Morocco 2 LAMIGEP, Moroccan School of Engineering Sciences, ...

In January, OpenAI Chief Executive Sam Altman and Chief Product Officer Kevin Weil hosted a demonstration of ChatGPT’s soon-to-be-released “deep research” application. A Beltway audience watched as ...

In clinical practice, the development of personalized treatment strategies for cervical cancer is hindered by the limited accuracy of drug response prediction, partly due to missing modalities in ...

Stephen Acabado receives funding from the Henry Luce Foundation and the National Science Foundation. But behind the spirit’s flash of marketing and growing popularity lies a rarely asked question: ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it focused on the fact that a relatively small and unknown company said ...