A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services
Large language models (LLMs) are becoming increasingly widespread. Organizations that want to use AI for productivity now face an important decision. They can subscribe to commercial LLM services...
Fault Tolerant Boolean Satisfiability
A delta-model is a satisfying assignment of a Boolean formula for which any small alteration, such as a single bit flip, can be repaired by flips to some small number of other bits, yielding a new...
One Dimensional p-adic Integral Value Transformations
In this paper, a set of transformations T^(p,k) is defined on N_0^K to N_0. Some basic and na\"ive mathematical structure of T^(p,1) are adumbrated and introduced the concept of discrete dynamical...
Integral Value Transformations: A Class of Discrete Dynamical Systems
Here the Integral Value Transformations (IVTs) are considered to be Discrete Dynamical System map in the space\mathbb{N}_(0). In this paper, the dynamics of IVTs is deciphered through the light of...
Processing of Communication Signal Using Operational Transconductance Amplifier
This paper proposes a signal processing methodology of communication system and realized that circuits using operational transconductance amplifier (OTA). Two important classes of communication...
Management of Grid Jobs and Information within SAMGrid
We describe some of the key aspects of the SAMGrid system, used by the D0 and CDF experiments at Fermilab. Having sustained success of the data handling part of SAMGrid, we have developed new...
Reliable Low-Voltage FeRAM Capacitors for High-Speed Dense Embedded Memory in Advanced CMOS
Cortical activity and functional hyperconnectivity by simultaneous EEG recordings from interacting couples of professional pilots
Theory and Application of Multiple Attractor Cellular Automata for Fault Diagnosis
Overlap-aware segmentation for topological reconstruction of obscured objects
The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensities, they...
Quantum Cryptanalysis of Farfalle and (Generalised) Key-Alternating Feistel Networks
Farfalle is a permutation-based construction for building a pseudorandom function which has been proposed by G. Bertoni et al. in 2017. In this work, we show that by observing suitable inputs to...
Discrete model for cloud computing: Analysis of data security and data loss
Cloud computing is recognized as one of the most promising solutions to information technology, e.g., for storing and sharing data in the web service which is sustained by a company or third party...