Zobrazeno 1 - 10
of 521
pro vyhledávání: '"Kurshan A"'
Publikováno v:
ACM AI in Finance Conference ICAIF 2024
Adoption of AI by criminal entities across traditional and emerging financial crime paradigms has been a disturbing recent trend. Particularly concerning is the proliferation of generative AI, which has empowered criminal activities ranging from soph
Externí odkaz:
http://arxiv.org/abs/2410.09066
Autor:
Emma, Philip, Kurshan, Eren
Publikováno v:
IBM Journal of Research and Development, Volume 52, Pages 541-552, 2008/11
The semiconductor industry is reaching a fascinating confluence in several evolutionary trends that will likely lead to a number of revolutionary changes in how computer systems are designed, implemented, scaled, and used. Since Moores Law, which has
Externí odkaz:
http://arxiv.org/abs/2409.14527
Autor:
Emma, Philip, Kurshan, Eren
Publikováno v:
In Proceedings of 2010 IEEE International Interconnect Technology Conference. IEEE, 2010. p. 1-3
3D promises a new dimension in composing systems by aggregating chips. Literally. While the most common uses are still tightly connected with its early forms as a packaging technology, new application domains have been emerging. As the underlying tec
Externí odkaz:
http://arxiv.org/abs/2409.09068
Autor:
Kurshan, Eren, Franzon, Paul
Publikováno v:
IEEE 3D IC Conference 2024
3D integration offers key advantages in improving system performance and efficiency for the End-of-Scaling era. It enables the incorporation of heterogeneous system components and disparate technologies, eliminates off-chip communication constraints,
Externí odkaz:
http://arxiv.org/abs/2409.10539
Autor:
Shen, Hongda, Kurshan, Eren
Detecting anomalies has become an increasingly critical function in the financial service industry. Anomaly detection is frequently used in key compliance and risk functions such as financial crime detection fraud and cybersecurity. The dynamic natur
Externí odkaz:
http://arxiv.org/abs/2312.16799
Autor:
Kurshan, Eren
AI faces a trifecta of grand challenges: the Energy Wall, the Alignment Problem and the Leap from Narrow AI to AGI. Contemporary AI solutions consume unsustainable amounts of energy during model training and daily operations. Making things worse, the
Externí odkaz:
http://arxiv.org/abs/2310.15274
Publikováno v:
ICAIF '21 - Proceedings of the 2nd ACM International Conference on AI in Finance (2021)
Artificial intelligence (AI) continues to find more numerous and more critical applications in the financial services industry, giving rise to fair and ethical AI as an industry-wide objective. While many ethical principles and guidelines have been p
Externí odkaz:
http://arxiv.org/abs/2111.01306
We review practical challenges in building and deploying ethical AI at the scale of contemporary industrial and societal uses. Apart from the purely technical concerns that are the usual focus of academic research, the operational challenges of incon
Externí odkaz:
http://arxiv.org/abs/2108.06217
Over the last decade, artificial intelligence has found many applications areas in the society. As AI solutions have become more sophistication and the use cases grew, they highlighted the need to address performance and energy efficiency challenges
Externí odkaz:
http://arxiv.org/abs/2103.04852
Autor:
Kurshan, E., Shen, H.
The rise of digital payments has caused consequential changes in the financial crime landscape. As a result, traditional fraud detection approaches such as rule-based systems have largely become ineffective. AI and machine learning solutions using gr
Externí odkaz:
http://arxiv.org/abs/2103.03227