Zobrazeno 1 - 10
of 554
pro vyhledávání: '"Krishnamachari Bhaskar"'
In response to the growing demand for enhanced performance and power efficiency, the semiconductor industry has witnessed a paradigm shift toward heterogeneous integration, giving rise to 2.5D/3D chips. These chips incorporate diverse chiplets, manuf
Externí odkaz:
http://arxiv.org/abs/2412.08777
Autor:
Garcia, Rodrigo Dutra, Ramachandran, Gowri, Dunnett, Kealan, Jurdak, Raja, Ranieri, Caetano, Krishnamachari, Bhaskar, Ueyama, Jo
Modern distributed applications in healthcare, supply chain, and the Internet of Things handle a large amount of data in a diverse application setting with multiple stakeholders. Such applications leverage advanced artificial intelligence (AI) and ma
Externí odkaz:
http://arxiv.org/abs/2411.16404
Autor:
Li, Minda, Krishnamachari, Bhaskar
ChatGPT and other large language models (LLMs) promise to revolutionize software development by automatically generating code from program specifications. We assess the performance of ChatGPT's GPT-3.5-turbo model on LeetCode, a popular platform with
Externí odkaz:
http://arxiv.org/abs/2411.07529
Autor:
Siam, Shakhrul Iman, Ahn, Hyunho, Liu, Li, Alam, Samiul, Shen, Hui, Cao, Zhichao, Shroff, Ness, Krishnamachari, Bhaskar, Srivastava, Mani, Zhang, Mi
Publikováno v:
ACM Trans. Sen. Netw.(August 2024)
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we provide a systematic and comprehensive review of AIoT r
Externí odkaz:
http://arxiv.org/abs/2410.19998
We are interested in studying how heterogeneous agents can learn to communicate and cooperate with each other without being explicitly pre-programmed to do so. Motivated by this goal, we present and analyze a distributed solution to a two-player sign
Externí odkaz:
http://arxiv.org/abs/2410.19962
This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection, macroprogramming
Externí odkaz:
http://arxiv.org/abs/2410.19223
Like any other useful technology, cryptocurrencies are sometimes used for criminal activities. While transactions are recorded on the blockchain, there exists a need for a more rapid and scalable method to detect addresses associated with fraudulent
Externí odkaz:
http://arxiv.org/abs/2410.02160
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are essential in deciding the optimal placement of expensive resources (e.g.,
Externí odkaz:
http://arxiv.org/abs/2408.16017
Autor:
Lavin, Ryan, Liu, Xuekai, Mohanty, Hardhik, Norman, Logan, Zaarour, Giovanni, Krishnamachari, Bhaskar
Zero-knowledge proofs (ZKPs) represent a revolutionary advance in computational integrity and privacy technology, enabling the secure and private exchange of information without revealing underlying private data. ZKPs have unique advantages in terms
Externí odkaz:
http://arxiv.org/abs/2408.00243
We introduce Graph Kolmogorov-Arnold Networks (GKAN), an innovative neural network architecture that extends the principles of the recently proposed Kolmogorov-Arnold Networks (KAN) to graph-structured data. By adopting the unique characteristics of
Externí odkaz:
http://arxiv.org/abs/2406.06470