Country
Cross-Domain Transferability of Adversarial Perturbations
Muhammad Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli
Neural Information Processing Systems http://nips.cc/
Multi-domain Causal Structure Learning in Linear Systems
AmirEmad Ghassami, Negar Kiyavash, Biwei Huang, Kun Zhang
Neural Information Processing Systems http://nips.cc/
How i The Pitt /i 's AI Drama is Playing Out in Real Hospitals
How The Pitt's AI Drama is Playing Out in Real Hospitals In Thursday's episode of The Pitt, the long-simmering tensions over the use of AI at the Pittsburgh Trauma Medical Center boiled over. In season two of the five-time Emmy winning medical drama, a new attending physician, Baran Al-Hashimi (Sepideh Moafi), is determined to improve efficiencies at the hospital. She tells her skeptical staff that new AI systems can cut down their time spent on charting by 80%, allowing them to spend more time both at the bedside and at home. But in episode six, doctors discover that the AI tool has made up false details about a patient and confused "urology" for "neurology." "AI's two percent error rate is still better than dictation," Al-Hashimi says, adding that it needs to be proofread for errors.
HairFastGAN: RealisticandRobustHairTransfer withaFastEncoder-BasedApproach
This task is challenging due to the need to adapt to various photo poses, the sensitivity of hairstyles, and the lack of objective metrics. The current state of the art hairstyle transfer methods use an optimization process for different parts of the approach, making them inexcusably slow.
