Zobrazeno 1 - 10
of 7 939
pro vyhledávání: '"Dotan A"'
Autor:
Ekamjit S. Deol, Matthew K. Tollefson, Alenka Antolin, Maya Zohar, Omri Bar, Danielle Ben-Ayoun, Lance A. Mynderse, Derek J. Lomas, Ross A. Avant, Adam R. Miller, Daniel S. Elliott, Stephen A. Boorjian, Tamir Wolf, Dotan Asselmann, Abhinav Khanna
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
ObjectiveAutomated surgical step recognition (SSR) using AI has been a catalyst in the “digitization” of surgery. However, progress has been limited to laparoscopy, with relatively few SSR tools in endoscopic surgery. This study aimed to create a
Externí odkaz:
https://doaj.org/article/82073097daef44849eb37b7c3288deb8
The ability of robots to manipulate objects relies heavily on their aptitude for visual perception. In domains characterized by cluttered scenes and high object variability, most methods call for vast labeled datasets, laboriously hand-annotated, wit
Externí odkaz:
http://arxiv.org/abs/2407.01302
Autor:
Omri Bar, Daniel Neimark, Maya Zohar, Gregory D. Hager, Ross Girshick, Gerald M. Fried, Tamir Wolf, Dotan Asselmann
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Abstract AI is becoming ubiquitous, revolutionizing many aspects of our lives. In surgery, it is still a promise. AI has the potential to improve surgeon performance and impact patient care, from post-operative debrief to real-time decision support.
Externí odkaz:
https://doaj.org/article/7ac9ed46cc5e42b98872a44472665647
Autor:
Joglekar, Omkar, Lancewicki, Tal, Kozlovsky, Shir, Tchuiev, Vladimir, Feldman, Zohar, Di Castro, Dotan
Large Language Models (LLMs) and strong vision models have enabled rapid research and development in the field of Vision-Language-Action models that enable robotic control. The main objective of these methods is to develop a generalist policy that ca
Externí odkaz:
http://arxiv.org/abs/2406.16093
Radar sensors are low cost, long-range, and weather-resilient. Therefore, they are widely used for driver assistance functions, and are expected to be crucial for the success of autonomous driving in the future. In many perception tasks only pre-proc
Externí odkaz:
http://arxiv.org/abs/2406.02158
This paper proposes an approach to the responsible adoption of generative AI in higher education, employing a ''points to consider'' approach that is sensitive to the goals, values, and structural features of higher education. Higher education's etho
Externí odkaz:
http://arxiv.org/abs/2406.01930
Autor:
Halevi, Dotan, Lubotzky, Boaz, Sulimany, Kfir, Bowes, Eric G., Hollingsworth, Jennifer A., Bromberg, Yaron, Rapaport, Ronen
High-dimensional quantum key distribution (HDQKD) is a promising avenue to address the inherent limitations of basic QKD protocols. However, experimental realizations of HDQKD to date have relied on indeterministic photon sources that limit the achie
Externí odkaz:
http://arxiv.org/abs/2405.03377
In the field of robotics and automation, conventional object recognition and instance segmentation methods face a formidable challenge when it comes to perceiving Deformable Linear Objects (DLOs) like wires, cables, and flexible tubes. This challenge
Externí odkaz:
http://arxiv.org/abs/2402.11996
The strict periodicity of pulsars is the primary source of information we have to learn about their nature and environment, it allows us to challenge general relativity and measure gravitational waves. Identifying such a periodicity from a discrete s
Externí odkaz:
http://arxiv.org/abs/2402.07228
Graph generation is integral to various engineering and scientific disciplines. Nevertheless, existing methodologies tend to overlook the generation of edge attributes. However, we identify critical applications where edge attributes are essential, m
Externí odkaz:
http://arxiv.org/abs/2402.04046