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Neural Execution Engines: Learning to Execute Subroutines
[article]
2020
arXiv
pre-print
A significant effort has been made to train neural networks that replicate algorithmic reasoning, but they often fail to learn the abstract concepts underlying these algorithms. ...
First, we observe that transformer-based sequence-to-sequence models can learn subroutines like sorting a list of numbers, but their performance rapidly degrades as the length of lists grows beyond those ...
Execution
Engine
min_element
append()
sorted_list
data
learned_mask
Neural Execution
Engine
partially_sorted_data
reshape()
data
learned_mask
end-start
Neural Execution
Engine ...
arXiv:2006.08084v3
fatcat:pqpwd3e2ubcfjan4vxpskv54i4
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
[article]
2019
arXiv
pre-print
This paper initiates the study of high performance execution of Deep Neural Networks (DNNs) in TEEs by efficiently partitioning DNN computations between trusted and untrusted devices. ...
As Machine Learning (ML) gets applied to security-critical or sensitive domains, there is a growing need for integrity and privacy for outsourced ML computations. ...
If F belongs to the server, C learns no more about F than what is revealed by y = F (x). 1
TRUSTED EXECUTION ENVIRONMENTS (TEES), INTEL SGX, AND A STRONG BASELINE Trusted Execution Environments (TEE) ...
arXiv:1806.03287v2
fatcat:bltsrqkdizc45clfer7durbsbq
Hunting for metamorphic engines
2006
Journal in Computer Virology
We define a similarity index and use it to precisely quantify the degree of metamorphism that each generator produces. ...
They used three learning algorithms to train a set of classifiers on some publicly available malicious and benign executables. ...
Machine learning techniques Various researchers have attempted to use machine learning techniques to perform heuristic analysis of metamorphic viruses. ...
doi:10.1007/s11416-006-0028-7
fatcat:a6oasw6fpzfyvj4s5ulraobr4y
The AGINAO Self-Programming Engine
2013
Journal of Artificial General Intelligence
The dynamical and open-ended cognitive engine of the robot is represented by an embedded and multi-threaded control program, that is self-crafted rather than hand-crafted, and is executed on a simulated ...
The data from the robot's sensory devices supplies the training samples for the machine learning methods, while the commands sent to actuators enable testing hypotheses and getting a feedback. ...
First, the reinforcement-learning values, related to the terminated execution, are updated. ...
doi:10.2478/v10229-011-0018-0
fatcat:s3kgr5anyvaw3gvm6my52c7pre
PRACTICAL MACHINE LEARNING FOR SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
[chapter]
2001
Handbook of Software Engineering and Knowledge Engineering
Second, we will only report mature machine learning methods; i.e. those methods which do not require highly specialized skills to execute. ...
Software engineers can use machine learners to simplify systems development. ...
, see the Reynolds chapter in this volume on evolutionary programming and other work on learning knowledge from data [28] ; artificial neural nets [11] ; an excellent review on data mining [22] ; and ...
doi:10.1142/9789812389718_0035
fatcat:td656rynrngq7g32aelrdjezvy
Mind and autonomy in engineered biosystems
1999
Engineering applications of artificial intelligence
Examples refer primarily to engineered ecosystems combined with technological control networks (ecocyborgs). ...
A signi®cantly autonomous biosystem must be engineered to possess particular sets of computational abilities (faculties). ...
Appreciation is expressed to M.C. Stacey and P.C. Clark for reviewing drafts of this article. ...
doi:10.1016/s0952-1976(99)00010-x
fatcat:4nqvrfkrubcezmlbt574o4wclq
Quest For Convergence Solution Using Hybrid Genetic Algorithm Trained Neural Network Model For Metamorphic Malware Detection
2021
ARRUS Journal of Engineering and Technology
Study proposes genetic algorithm trained neural net model to accurately classify credit card transactions. ...
Perpetrated on customers, it ranges from employees' internal abuse to large fraud via high-value contracts cum control breaches that impose serious consequences to biz. ...
Its engine reads in a virus executable, locates code to be transformed using its locate_own_code module. ...
doi:10.35877/jetech613
fatcat:frhqdx6pajeujc3ia6gt4axnka
Optimization of Classroom Illumination System Based on Neural Network Algorithm
2018
Light & Engineering
fatigue and promote the learning efficiency. ...
The optimization of classroom illumination system based on neural network algorithm was studied in order to optimize the classroom illumination system, which can effectively relieve the students С visual ...
Besides the initialization and pin definition of the system, other subroutines of the system are executed repeatedly according to the workflow of the system, and each sub program will not interfere with ...
doi:10.33383/2018-138
fatcat:uu6tj4yqk5c2xc5nnejvatymqe
Pipelined HAC Estimation Engines for Multivariate Time Series
2014
Journal of Signal Processing Systems
This paper describes a pipeline-friendly HAC estimation algorithm derived from a mathematical specification, by applying transformations to eliminate conditionals, to parallelise arithmetic, and to promote ...
One experimental system achieves up to 12 times speedup over an optimised software system on 12 CPU cores. ...
Acknowledgments The authors would like to thank the anonymous reviewers for their constructive comments. ...
doi:10.1007/s11265-014-0897-9
fatcat:llewfkf3gfhrbcigbsga2t2fwe
Ultra artificial intelligence (UAI) engineering for robotics violence control, detect and corrective
2018
International Robotics & Automation Journal
Acknowledgements The I really thankful to my wife Safeena Shaikh for her moral support my son Md. ...
These alternate engineering aspects become more to most complicated and challenging as moving from Alt-1 to Alt-4 as well as must need to engineer when robotic violence in Humanoid become more to most ...
and malfunctions possible when Humanoid become most advanced Robot with self-learning and programming. ...
doi:10.15406/iratj.2018.04.00129
fatcat:nkulpkvf4fggthw2dbxsy4ahmq
Bots in software engineering: a systematic mapping study
2022
PeerJ Computer Science
Bots have emerged from research prototypes to deployable systems due to the recent developments in machine learning, natural language processing and understanding techniques. ...
Hence it is significant to categorize bots in software engineering through analyzing why, what and how the bots are applied in software engineering. ...
Neural QA model trained with encoder-decoder Recurrent neural network (RNN) has been adopted for software engineering chatbots. ...
doi:10.7717/peerj-cs.866
pmid:35494879
pmcid:PMC9044364
fatcat:xmkvbhry3bg77g3c4l333aavfa
Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering efforts
2012
BMC Medical Informatics and Decision Making
During such an analysis, study of examples of existing, software-engineering efforts in non-biomedical fields can provide useful signposts to the implementer of a clinical guideline system. ...
support systems in general, we have incorporated additional requirements related to production-system robustness and functionality from publications in the business workflow domain, in addition to drawing ...
Workflows are generally executed in interpreted mode by a runtime workflow-execution engine. ...
doi:10.1186/1472-6947-12-16
pmid:22405400
pmcid:PMC3342141
fatcat:ynpbzfruwffivbbalu3du37yhq
Outbreak Prediction of Dengue and Hepatitis A
2020
International Journal for Research in Applied Science and Engineering Technology
We developed a model 'OUTBREAK PREDICTION OF DENGUE AND HEPATITIS A USING MACHINE LEARNING' which can be put to use as an early warning tool. ...
In this study we use two data mining classification algorithms Support Vector Machine (SVM) and Artificial Neural Network (ANN) are used to forecast or predict an outbreak. ...
Artificial Neural Network is proficient of learning, which is done by changing weight values. If the network gives rise to a good output, there is no need to modify the weights value. ...
doi:10.22214/ijraset.2020.30562
fatcat:injx6fpn6nfnbd5m3z3doubu5e
Instruction set architectural guidelines for embedded packet-processing engines
2012
Journal of systems architecture
Similar to other embedded processors such as media processors, packet-processing engines are deployed in embedded applications, where cost and power are as important as performance. ...
This paper presents instruction set architectural guidelines for improving general-purpose embedded processors to optimally accommodate packet-processing applications. ...
There are four common types for control flow instructions: conditional branches, jumps, subroutine calls, and returns from subroutines. ...
doi:10.1016/j.sysarc.2012.02.004
fatcat:jzaqkm5jejdpxmlory3ee4ljgy
The R Language: An Engine for Bioinformatics and Data Science
2022
Life
It currently ranks among the top 10 most popular languages worldwide, and its community has produced tens of thousands of extensions and packages, with scopes ranging from machine learning to transcriptome ...
Overall, we hope to provide both a complete snapshot of R today and a practical compendium of the major features and applications of this programming language. ...
Acknowledgments: We would like to thank Francesco Licausi and Beatrice Giuntoli for their scientific support, and Mariangela Santorsola for the fruitful discussions on code editors. ...
doi:10.3390/life12050648
fatcat:vyktde5d5vf4laughw7iwxlth4
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