Transfer Learning for Human & AI

This paper gives a systematic research review at the boundary of theinformation systems (IS) and marketing disciplines . The citation asymmetries between IS and marketing are noted and an overall conceptual model is created . Forwardlooking suggestions are made on how academic researchers can better interfacewith industry and how academic research at the boundaries of IS can be further developed .…

Ten years ago, the Mathematics Subject Classification MSC 2010 was released . Now, the new MSC 2020 isout . This paper recaps the last ten years of working on machine-readable MSC data . We describe the processing required to convert the version of record into the Linked Open Data form we call MSC2020-SKOS .…

A vast area of research in historical science concerns the documentation and study of artefacts and related evidence . Current practice mostly usesspreadsheets or simple relational databases to organise the information as rowswith multiple columns of related attributes . Synthesis documentationsystem is Web-based andcollaborative, and makes use of existing standards for informationdocumentation and publication (CIDOC-CRM, RDF), focusing on semanticinteroperability and the production of data of high value and long-termvalidity .…

Current Python programming environment does not have any reliable and efficient multiple precision floating-point arithmetic . MPF library can be utilized for middlelength precision arithmetic under 200 bits, but they are not widely used on Python . In this paper, we describe our accelerated MPF direct method withAVX2 techniques and its application to mixed precision iterative refinement combined with mpmath, and demonstrate their efficiency on x86\_64 computational environments .…

This article maps Library and Information Science (LIS) research in Indian universities . Web of Science and Scopus have very limited coverage of Indian LIS journals . Study traces growth of publications, prominent keywords, leading journals where articles are published .…

Quantitative finance is the use of mathematical models to analyse financial markets and securities . We explore redesigning the engine to fully embrace the dataflow approach, resulting in an engine which is around eight times faster on anAlveo U280 FPGA than the original Xilinx library version .…

In this paper we present an algebraic dimension-oblivious two-level domaindecomposition solver for discretizations of elliptic partial differential equations . The proposed parallel solver is based on a space-filling curvepartitioning approach that is applicable to any discretization, i.e. it operates on the assembled matrix equations .…

Quantitative finance is the use of mathematical models to analyse financial markets and securities . We explore redesigning the engine to fully embrace the dataflow approach, resulting in an engine which is around eight times faster on anAlveo U280 FPGA than the original Xilinx library version .…

Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality solutions of NP-hard problems . In this contribution, we explore the potential and effectiveness of such quantumanneals for computing Boolean tensor networks . We show that tensor with up to millions of elements can bedecomposed efficiently using a DWave 2000Q adiabatic quantum annealer .…

In this paper, we extend the notion of (word) derivatives and partialderivatives due to (respectively) Brzozowski and Antimirov to tree derivatives . We define a new family of extended regular tree expressions (using negationor intersection operators) We show how to compute a Brozozowski-likeinductive tree automaton .…

Current Python programming environment does not have any reliable and efficient multiple precision floating-point arithmetic . MPF library can be utilized for middlelength precision arithmetic under 200 bits, but they are not widely used on Python . In this paper, we describe our accelerated MPF direct method withAVX2 techniques and its application to mixed precision iterative refinement combined with mpmath, and demonstrate their efficiency on x86\_64 computational environments .…

In this paper we explore the challenges of automating experiments in datascience . We propose an extensible experiment model as a foundation forintegration of different open source tools for running research experiments . Weimplement our approach in a prototype open source MLDev software package andevaluate it in a series of experiments yielding promising results .…

Slovenia was the most productive country, followed byCroatia and Serbia . Nursing research in ex-Yugoslavian countries is growing both in scope and number of publications . A substantial part of the research is published in national journalsin national languages . The study also revealed substantial international cooperation among ex-yugoslavians and European Union.…

Fifty years of evolution of the transportation field is revisited at a macroscale using scientometric analysis of all publications in all 39 journals indexed in the category of Transportation by the Web of Science . Influential and emerging authors of each division are identified .…

Reconfigurable Intelligent Surfaces (RISs) have attracted attention in the last year for their characteristics of nearly-passive, thin structures that candynamically change their reflection or refraction behaviour . In this paper, we introduce a general macroscopic model for therealistic evaluation of RIS scattering, based on its decomposition intomultiple scattering mechanisms and aimed at being embedded into ray models .…

In this paper, we study the extension of 1-clock Alternating Timed Automata(1-ATA) with the ability to read in both forward and backward direction . We propose a “non-punctuality” like restriction,called non-adjacency, for 2-Way 1-ATA-rfl, and also for GQMSO, for which theemptiness (respectively, satisfiability) checking becomes decidable, in general .…

In this paper we explore the challenges of automating experiments in datascience . We propose an extensible experiment model as a foundation forintegration of different open source tools for running research experiments . Weimplement our approach in a prototype open source MLDev software package andevaluate it in a series of experiments yielding promising results .…

Nanoelectronic devices emulating neuro-synaptic functionalities through theirintrinsic physics at low operating energies is imperative toward therealization of brain-like neuromorphic computers . We leverage thenon-linear voltage dependent partial polarization switching of a ferroelectricfield effect transistor to mimic plasticity characteristics of biological synapses .…

Novel methods are presented for the fusion of GPU kernels in the artificialcompressibility method (ACM) The fused kernels are able to achieve 3-4 times speedup, which compares favourably with atheoretical maximum speedup of 4.3 times . In three dimensional test cases, thegenerated fused kernels were found to reduce total runtime by ${\sim}25\%$, and,when compared to the standard ACM formulation, simulations demonstrate that aspeedup of $2.3$ times can be achieved .…

Machine Learning (ML) has increasingly become a hottopic in the field of Computer Networks . During 2020, the International Telecommunication Union (ITU) hasorganized the “ITU AI/ML in 5G challenge”, an open global competition that has introduced to a broad audience some of the current main challenges in ML fornetworks .…

Design of microfluidic biochips has led to newer challenges to the EDA community due to the availability of various flow-based architectures and the need for catering to diverse applications such as sample preparation, personalized medicine, point-of-care diagnostics, and drug design .…

We suggest an enhancement to structural coding through the use of (a)causally bound codes, (b) basic constructs of graph theory and (c) statistics . The numberof occurrences of the nodes and the links provide the input required to analyzerelative frequency of occurrence, as well as opening a scope for furtherstatistical analysis .…

Journal classification into subject categories is an important aspect inscholarly research evaluation as well as in bibliometric analysis . Web Of Science and Scopus indexing systems use a variety of (partially) overlapping and non-exhaustive subject categories which results in many journals being classified into more than a single subject category .…

Novel methods are presented for the fusion of GPU kernels in the artificialcompressibility method (ACM) The fused kernels are able to achieve 3-4 times speedup, which compares favourably with atheoretical maximum speedup of 4.3 times . In three dimensional test cases, thegenerated fused kernels were found to reduce total runtime by ${\sim}25\%$, and,when compared to the standard ACM formulation, simulations demonstrate that aspeedup of $2.3$ times can be achieved .…

Machine Learning (ML) has increasingly become a hottopic in the field of Computer Networks . During 2020, the International Telecommunication Union (ITU) hasorganized the “ITU AI/ML in 5G challenge”, an open global competition that has introduced to a broad audience some of the current main challenges in ML fornetworks .…

Machine Learning (ML) has increasingly become a hottopic in the field of Computer Networks . During 2020, the International Telecommunication Union (ITU) hasorganized the “ITU AI/ML in 5G challenge”, an open global competition that has introduced to a broad audience some of the current main challenges in ML fornetworks .…

An uninterpreted program (UP) is a program whose semantics is defined over the theory of uninterpretated functions . This is a common abstraction used inequivalence checking, compiler optimization, and program verification . Recently, a class of UP programs, called coherent, has been proposed and shown to be decidable .…

Adiabatic quantum-flux-parametron (AQFP) logic is an energy-efficientuperconductor logic family . The latency of AQFP circuits is relatively long compared to that of other superconductor Logic families . And and XORgates with a latency of approximately 20 ps per gate are shown to operate at upto 5 and 4 GHz, respectively, in experiments .…

LightOn’s Optical Processing Unit (OPU) is the first photonic AIaccelerator chip available on the market for at-scale Non von Neumanncomputations . It relies on a combination of free-spaceoptics with off-the-shelf components, together with a software API allowing aseamless integration within Python-based processing pipelines .…

Neuromorphic vision sensors (NVS) can enable energy savings due to theirevent-driven that exploits the temporal redundancy in video streams from astationary camera . Noise-driven events lead to the false triggering of the object recognition processor . Image denoise operations require memoryintensive processing leading to a bottleneck in energy and latency .…

This research note tries to uncover the 1991 phenomenon from theperspective of database limitation by probing the limitations of search inabstract/author keywords/keywords plus fields of Web of Science Core Collection . The lowavailability rates of abstract/author keyword searches in WoSCC found in this study can explain the “watershed” phenomenon of AIscholarship in 1991 to a large extent .…

Dawar and Wilsenach (ICALP 2020) show an exponential separation between the sizes of symmetric arithmeticcircuits for computing the determinant and the permanent . The symmetryrestriction is that the circuits which take a matrix input are unchanged by a permutation applied simultaneously to the rows and columns of the matrix .…

The Nested Relational Calculus (NRC) has been an influential high-level query language . It has been used as a basis for language-integrated queries in programming languages such as F#, Scala, and Links . However, NRC’s treatment of incomplete information, using nulls and three-valued logic, is not compatible with `standard’ NRC based on two-valued .…

All-digital basestation (BS) architectures for millimeter-wave (mmWave)massive multi-user multiple-input multiple- input multiple-output (MU-MIMO) have advantages inspectral efficiency, flexibility, and baseband-processing simplicity overhybrid analog-digital solutions . We demonstrate that adapting the resolution of the analog-to-digitalconverters (ADCs) and spatial equalizer of an all-digital system to the communication scenario enables orders-of-magnitude power savings for realisticmmWave channels .…

QR-Store can achieve a throughput of 1.9 million transactions per second in under 200 milliseconds and a replication head of 8%-25% compared to non-replicated configurations . The paper proposes a generic framework to model the replication process in deterministic transaction processingsystems and use it to study three cases .…

A set $S\subseteq V(G) of a graph $G$ is a dominating set if each vertice has a neighbor in $S$ or belongs to $S$. The bondage number $b(G), $B(G)’$ is the smallest number of edges $A/G$ such that $a(G-A)=\gamma(G+1$ is NP-hard .…

Archaeological data have many different formats (images,texts, sensor data) and can be structured, semi-structured and unstructured . Such variety makes data difficult to collect, store, manage, search and analyze . We propose a generic, flexible andcomplete data lake architecture . Our metadata management system exploitsgoldMEDAL, which is the most complete metadata model currently available .…

This letter investigates a downlink multiple input single output (MISO)system based on transmissive reconfigurable metasurface (RMS) transmitter . It proposes an alternating optimization (AO) techniquebased on difference-of-convex (DC) programming and successive convexapproximation (SCA) Simulation results verify that the proposed algorithm canachieve convergence and improve the achievable sum-rate of the system .…

So-called big data generally come from transactionalsystems, and even more so from the Internet of Things and social media . A data lake is a large, raw data repository that stores and manages all company databearing any format . The data lake concept remains ambiguous or fuzzy for many researchers and practitioners, who often confuse it with the Hadoop technology .…

Sepsis is a life-threatening disease with high morbidity, mortality and health care costs . Early prediction and administration of antibiotics and fluids is considered crucial for the treatment of sepsis and can save potentially millions of lives and billions in health care .…

This paper introduces the sixth Oriental Language Recognition (OLR) 2021Challenge . It intends to improve the performance of language recognitionsystems and speech recognition systems within multilingual scenarios . The dataprofile, four tasks, two baselines, and the evaluation principles are presented .…

In this paper, we investigate an unmanned aerial vehicle (UAV)-assistedInternet-of-Things (IoT) system in a sophisticated three-dimensional (3D)environment . We leverage the twin-delayed deepdeterministic policy gradient to design the UAV’s trajectory and present a TD3-based trajectory design for completion time minimization (TD3-TDCTM) algorithm .…

We build a theory of binary trees on finite multisets that categorifies, oroperationalizes, the entropy of a finite probability distribution . Multisetsoperationalize probabilities as the event outcomes of an experiment . Huffmantrees operationalize the entertainment of the distribution of these events .…

Understanding emotions that people express during large-scale crises helps inform policy makers and first responders about theemotional states of the population . We present CovidEmo, ~1K tweets labeled withemotions. We examine how well large pre-trained language models generalizeacross domains and crises in the task of perceived emotion prediction .…

We present a geometric framework for constructing additive and non-additivestabiliser codes . This framework encompasses stabiliser codes and graphical non-adviser codes .…

Language instruction plays an essential role in the natural language groundednavigation tasks . We propose a DynamicReinforced Instruction Attacker (DR-Attacker) which learns to mislead thenavigator to move to the wrong target by destroying the most instructive information in instructions at different timesteps .…

We address three outstanding problems in information theory . Problem one is the definition of a non-negative decomposition of the information conveyed by two or more sources about a target variable . Problem three is a measure of multiple mutual information, that is the extension of mutual information to more than two variables .…

Despite impressive performance of sentence-level and context-aware NeuralMachine Translation (NMT) there still remain challenges to translate bilingual text due to its inherent characteristics such as rolepreference, dialogue coherence, and translation consistency . In this paper, we aim to promote the translation quality of conversational text by modeling theabove properties .…

This paper studies distributed algorithms for (strongly convex) compositeoptimization problems over mesh networks . Instead of focusing on a specific algorithmic design, we propose a black-boxmodel casting distributed algorithms in the form of fixed-point iterates,converging at linear rate . The algorithmic model is coupled with a novel(random) Biased Compression (BC-)rule on the quantizer design, which preserves linear convergence .…

Transformer-based models for natural language processing are an important issue due to their capabilities and wide adoption . In this paper, we propose a new black-box sentence-level attack . Our methodfine-tunes a pre-trained language model to generate adversarial examples . The proposed attack outperforms competitors on a diverse set of NLP problems for both computed metrics and human evaluation .…