Networked Mathematics: NLP tools for Better Science

•

0 recomendaciones•95 vistas

This document discusses using natural language processing (NLP) tools for mathematics. It describes work done at various companies on NLP, including developing a conversational assistant for home appliances. It also discusses a PhD thesis on developing a hybrid NLI engine and explainability tools for mathematical text, as well as challenges in building a knowledge graph for mathematics terms and concepts. The document concludes that knowledge representation for mathematics is an underdeveloped area with high potential payoff.

Ingeniería

1/13
Introduction
NLP and Transformers
Networked Mathematics
Networked Mathematics™
NLP tools for Better Science
Valeria de Paiva
Topos Institute
April 2022
Valeria de Paiva Topos

2/13
Introduction
NLP and Transformers
Networked Mathematics
Thanks, Fabio and Davide!
Valeria de Paiva Topos

3/13
Introduction
NLP and Transformers
Networked Mathematics
NLP research?
Valeria de Paiva Topos

4/13
Introduction
NLP and Transformers
Networked Mathematics
Semantics & Language
Samsung SRA (2019): Dialogue and Knowledge
Representation Lab,
project: systems to make Bixby (voice personal assistant)
communicate well with home appliances at SmartHome
Nuance Comms (2012-2018): AI to make sounds into
knowledge, health systems, automotive, law, CRM, banks,
insurance, etc
projects: personal assistant for Living Room (TV 2nd screen),
PA for automotive companies
Rearden Commerce (2011-2012): a white-labelling shop for
travel and expenses/procurement systems. air travel tickets,
hotels, shows & sports, restaurants, parking, etc
project: a Groupon-like app, ontologies, discover what hotel
reviewers really valued
Cuil (2008-2010) search analysis, PARC Forum: Adventures in
Searchland
Valeria de Paiva Topos

5/13
Introduction
NLP and Transformers
Networked Mathematics
How to think about language understanding?
Valeria de Paiva Topos

6/13
Introduction
NLP and Transformers
Networked Mathematics
How to think about language understanding?
Valeria de Paiva Topos

7/13
Introduction
NLP and Transformers
Networked Mathematics
Conversational UI applications
AI Summit 2018, Luxembourg
Valeria de Paiva Topos

8/13
Introduction
NLP and Transformers
Networked Mathematics
Conversational Reasoning Engines
AI Summit 2018, Luxembourg
Valeria de Paiva Topos

9/13
Introduction
NLP and Transformers
Networked Mathematics
Can we read Math texts?
Work of almost nine years at PARC was out of reach when I
left in 2008
Pleased to report that almost all of it is now available
open-source, redone from scratch, using new techniques.
work of Katerina Kalouli, PhD thesis 2021
Hy-NLI: a hybrid NLI engine, computes inference in a hybrid
way by employing the symbolic system GKR4NLI and the deep
learning model BERT;
XplaiNLI: explainability of the Hy-NLI system and sketches of
explanations for the decisions made by each component of
Hy-NLI;
GKR4NLI a symbolic NLI engine that computes the inference
relation between a pair of sentences
GKR parser transforms a given sentence into a layered
semantic graph, its symbolic representation
Demos for all components!
Valeria de Paiva Topos

10/13
Introduction
NLP and Transformers
Networked Mathematics
Knowledge Graph for Maths?
Doing semantics is expensive, we can get much information
with less than full semantics
But we need the specific vocabulary. How do we get it?
Term extractors: Open Tapioca, TextRank, DyGIE++,
Parmenides (our NIST collaborators) the ones we tried
No one is specific for mathematics, but DyGIE++ is about
scientific text
Bottleneck is always evaluation: difficult and not super fun
Human annotation in this domain is expensive and difficult to
obtain
Can we use ‘silver datasets’ instead?
Valeria de Paiva Topos

11/13
Introduction
NLP and Transformers
Networked Mathematics
Knowledge Graph for Maths
Author keywords are ‘guaranteed’ sound keywords, but won’t
be all the story
Need to add ‘trivial’ keywords for experts – these are
extractive, e.g. ‘category’ in a journal about Category Theory
there are many expressions that are keyword-like, e.g. ”Future
work”, that do not correspond to concepts
So ‘linguistic concepts’ are broader than mathematical
concepts
Can training on guaranteed keywords be enough to obtain
concepts and only concepts?
Valeria de Paiva Topos

12/13
Introduction
NLP and Transformers
Networked Mathematics
Conversational UI applications
AI Summit 2018, Luxembourg
eventually Hy-NLI!
Valeria de Paiva Topos

13/13
Introduction
NLP and Transformers
Networked Mathematics
Conclusions
Knowledge representation for Mathematics is fun, interesting,
useful. and underdeveloped!
Payoff is incredibly high, see our blog post ‘Introducing the
MathFoldr Project’ https://topos.site/blog/2021/07/
introducing-the-mathfoldr-project/
NLP tools are becoming better every week, need to make use
of this productivity
Valeria de Paiva Topos

Recomendados

Semantics and Reasoning for NLP, AI and ACT

Valeria de Paiva

Semantics and Reasoning: for NLP, AI and ACT

Valeria de Paiva

Weapons of Math Construction

Valeria de Paiva

Nautral Langauge Processing - Basics / Non Technical

Dhruv Gohil

Interactive XAI for ODSC East 2023

Meg Kurdziolek

BDS14 Big Data Analytics to the masses

Jose Luis Lopez Pino

SESAM4 - A guide to semantics in the Linked Open Data cloud, Robert HP Engels...

The Research Council of Norway, IKTPLUSS

NERD: an open source platform for extracting and disambiguating named entitie...

Raphael Troncy

Neurodb Engr245 2021 Lessons Learned

Stanford University

TMCRK Spotlight Interview: Robert Pratten & Conducttr

TMC Resource Kit

Logic and Probabilistic Methods for Dialog

Valeria de Paiva

Severin the service designer

Intersection Group

Slides from a webinar Milan Guenther gave October 2021. A Service Designer's journey to delivering breakthrough experiences through impact on the enterprise Severin is an ambitious and experienced designer. And when Intersection Railways called for a major overhaul of a part of their product and service portfolio, they set out for making an impact. Severin brought together all the stakeholders, they set an ambitious goal to significantly shift the customer’s experience, and with their team they researched, prototyped and mapped out a better future journey. But then it fell apart. That reorganisation messed up the responsibilities. Many customer insights turned out to be just assumptions. The IT change was too hard, the regulations were too constraining. And their stakeholders were not that convinced after all. What just happened? Design at scale is hard. In this session, Milan will show how Severin reengages his co-creators to tackle the true scope of the change required, including organisation, operations, and ecosystem partners. Using a set of recurring patterns and a set of maps, they open the conversation to the target Enterprise Design: what we can do, where to go next, and what to change to get there. And ultimately, how to deliver on their ambitious vision for a better service. You will learn: - How to reveal the links: map out how your enterprise pursues its purpose, the capabilities it relies on to deliver, and the experience outcomes it enables for customers and others - Have the right conversations: how to create clarity when developing product strategy, business transformation or investment options, collaboratively and visually - How to draw your enterprise on a napkin: learn how to establish a business geography to facilitate joint wayfinding between stakeholders

Python vs. r for data science

Hugo Shi

This document compares Python and R for use in data science. Both languages are popular among data scientists, though Python has broader usage among professional developers overall. Python is a general purpose language while R is specialized for statistical computing. Both have extensive libraries for data manipulation, analysis, and visualization. The best choice depends on factors like familiarity, project requirements, and team preferences as both are capable of most data science tasks.

Fmi semtech-semantic ir-beta

Marin Nozhchev

This document provides an introduction to semantic information retrieval. It begins with formal definitions of information retrieval and discusses common approaches like the vector space model. It then describes how semantic technologies can enable better information retrieval by understanding queries at a deeper level and allowing users to formulate richer queries. Specific examples of applying semantic IR in systems like KIM and Insemtives are also provided.

GoodData Developers Share Their Big Data Platform Wish List

Dana Gardner

Deep Learning and the state of AI / 2016

Grigory Sapunov

ERP SaaS Case Study

Rubik Azariah

The document discusses ERP systems and the challenges conglomerates face in selecting and deploying new technology solutions. It notes that 55-75% of ERP projects fail to meet their objectives. It then discusses Company S's opportunity to establish itself as the leading consultant partner for conglomerates seeking to improve efficiency across functions through technology like cloud-based ERP systems. The document analyzes the stakeholders in the decision making process and identifies clarity, collaboration and convenience as key pillars to address different audiences. It proposes positioning Company S as providing a "personal technology consultant" named Mr. Earp who embodies those pillars and can help conglomerates make the world run better.

Web Storytelling and Open Data Publishing for Tourism

Andrea Volpini

This deck is about webstorytelling, the travel industry in the digital world, wordlift (our plugin bringing artificial intelligence to web publishers) and linked open data. If you're excited by the many advances in web technologies, rapid changes in mobile and content marketing than this presentation is for you. I've prepared this deck for a workshop held on February the 18th 2015 in Austria at the Semantic Technology Institute (STI) Innsbruck - a world leading research institute working on the Semantic Web.

Sudipta_Mukherjee_Resume_APR_2023.pdf

sudipto801

Essential capabilities of data scientist to have in 2022

Data Science Council of America

IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...

Dr. Haxel Consult

Applications of machine learning on NLP tasks today receive a lot of attention and have been shown to yield state of the art results on a wide range of tasks. We describe several cases where machine learning is deployed productively under the usual constaints of real-world projects: Real-world requirements, fast throughput, reasonably low requirements in terms of training corpus size and high quality results. What we observe is a general trend towards open source - also our components are open source. With the software being mostly freely available, among the key success criteria for many NLP projects today therefore is first and foremost the necessary expertise required to combine, tune and apply open source components.

The importance of Being Erneast: Open datasets in Portuguese

Valeria de Paiva

The document discusses the speaker's career in Silicon Valley applying mathematics to computing. It describes various roles at companies like Samsung Research America, Nuance Communications, and PARC where the speaker worked on projects involving knowledge representation, conversational assistants, and developing open source resources like OpenWordNet-PT for Portuguese. The speaker emphasizes the importance of open source datasets for languages beyond English and ongoing work to improve resources like UD-PT and SICK-BR.

Sudipta_Mukherjee_Resume-Nov_2022.pdf

Sudipta Mukherjee

Sudipta Mukherjee is a software engineer, author, and speaker with over 18 years of experience. He has written 6 books on programming topics such as machine learning using F# and source code analytics. He is currently a freelance software developer working on projects involving source code analysis, process mining, and financial transaction modeling using languages like C#, F#, and Python. Previously he held positions as a lead developer and technical lead at various companies where he developed tools for code analysis, data analytics, and domain-specific languages. He is recognized as an expert in F# and his interests include machine learning, algorithms, and functional programming.

Natural Language Processing - Research and Application Trends

Shreyas Suresh Rao

Stefan Geissler kairntech - SDC Nice Apr 2019

Stefan Geißler

KEYNOTE: FINNOVASIA 2017: The Ambient Advisory Experience : Beyond Robo-Advice

ForwardLane - applied artificial intelligence for digital advisory and distribution in fintech

Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas

Databricks

Does more data always improve ML models? Is it better to use distributed ML instead of single node ML? In this talk I will show that while more data often improves DL models in high variance problem spaces (with semi or unstructured data) such as NLP, image, video more data does not significantly improve high bias problem spaces where traditional ML is more appropriate. Additionally, even in the deep learning domain, single node models can still outperform distributed models via transfer learning. Data scientists have pain points running many models in parallel automating the experimental set up. Getting others (especially analysts) within an organization to use their models Databricks solves these problems using pandas udfs, ml runtime and MLflow.

Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support

IRJET Journal

The document discusses using generative pre-trained transformers (GPTs) to provide real-time support for Industry 4.0 through natural language processing. It proposes training a GPT model using data from an organization's website to assist users by answering queries, providing documentation, and linking to relevant resources. The model would be fine-tuned using a question-answering dataset and deployed with an interface to demonstrate its ability to engage in human-like conversations to resolve user issues.

Dialectica Comonoids

Valeria de Paiva

This document discusses comonoids in the context of categorical logic and the Dialectica construction. It provides motivation for studying comonoids by explaining their connection to linear logic and modalities. It then gives an overview of the Dialectica construction, explaining that it produces categories with symmetric monoidal closed structure that can model linear logic. The document discusses how in these Dialectica categories, the ! operator is a cofree comonad and objects with a comonoid structure in their second coordinate define a comonad. It considers taking alternative approaches to studying comonoids in Dialectica categories. In conclusions, it notes applications of comonoids to programming languages and differentiation.

Dialectica Categorical Constructions

Valeria de Paiva

Valeria de Paiva gave a presentation on categorical models of the Dialectica interpretation. She discussed how the Dialectica interpretation can be modeled using doctrines and Gödel doctrines. Gödel doctrines satisfy properties that capture the essence of Gödel's original translation, including the Dialectica normal form and soundness of implication. Gödel doctrines also validate logical principles like independence of premise and the Markov principle. The presentation concluded by mentioning further work relating categorical Dialectica models to realizability triposes and toposes.

Más contenido relacionado

Similar a Networked Mathematics: NLP tools for Better Science

Neurodb Engr245 2021 Lessons Learned

Stanford University

TMCRK Spotlight Interview: Robert Pratten & Conducttr

TMC Resource Kit

Logic and Probabilistic Methods for Dialog

Valeria de Paiva

Severin the service designer

Intersection Group

Python vs. r for data science

Hugo Shi

Fmi semtech-semantic ir-beta

Marin Nozhchev

GoodData Developers Share Their Big Data Platform Wish List

Dana Gardner

Deep Learning and the state of AI / 2016

Grigory Sapunov

ERP SaaS Case Study

Rubik Azariah

Web Storytelling and Open Data Publishing for Tourism

Andrea Volpini

Sudipta_Mukherjee_Resume_APR_2023.pdf

sudipto801

Essential capabilities of data scientist to have in 2022

Data Science Council of America

IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...

Dr. Haxel Consult

The importance of Being Erneast: Open datasets in Portuguese

Valeria de Paiva

Sudipta_Mukherjee_Resume-Nov_2022.pdf

Sudipta Mukherjee

Natural Language Processing - Research and Application Trends

Shreyas Suresh Rao

Stefan Geissler kairntech - SDC Nice Apr 2019

Stefan Geißler

KEYNOTE: FINNOVASIA 2017: The Ambient Advisory Experience : Beyond Robo-Advice

ForwardLane - applied artificial intelligence for digital advisory and distribution in fintech

Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas

Databricks

Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support

IRJET Journal

Similar a Networked Mathematics: NLP tools for Better Science (20)

Neurodb Engr245 2021 Lessons Learned

TMCRK Spotlight Interview: Robert Pratten & Conducttr

Logic and Probabilistic Methods for Dialog

Severin the service designer

Python vs. r for data science

Fmi semtech-semantic ir-beta

GoodData Developers Share Their Big Data Platform Wish List

Deep Learning and the state of AI / 2016

ERP SaaS Case Study

Web Storytelling and Open Data Publishing for Tourism

Sudipta_Mukherjee_Resume_APR_2023.pdf

Essential capabilities of data scientist to have in 2022

IC-SDV 2019: Down-to-earth machine learning: What you always wanted your data...

The importance of Being Erneast: Open datasets in Portuguese

Sudipta_Mukherjee_Resume-Nov_2022.pdf

Natural Language Processing - Research and Application Trends

Stefan Geissler kairntech - SDC Nice Apr 2019

KEYNOTE: FINNOVASIA 2017: The Ambient Advisory Experience : Beyond Robo-Advice

Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas

Revolutionizing Industry 4.0: GPT-Enabled Real-Time Support

Más de Valeria de Paiva

Dialectica Comonoids

Valeria de Paiva

Dialectica Categorical Constructions

Valeria de Paiva

Logic & Representation 2021

Valeria de Paiva

The document discusses the organization of several workshops and conferences focused on women in logic, including the Women in Logic workshops from 2013 to the present. It provides links to websites and blog posts about the First Women in Logic workshop in 2013, the Women in Logic conferences from 2016 to 2021, and a roundtable at the EBL conference in 2019. It encourages bringing ideas to a meeting at 5:00pm and expresses the view that the current situation regarding women in logic needs to change.

Constructive Modal and Linear Logics

Valeria de Paiva

This document summarizes the history and development of modal logics from Frege to the present day. It discusses key figures like Hilbert, Gentzen, Prawitz, Martin-Lof, and Girard and their contributions to logic systems. It also covers developments in intuitionistic modal logics by researchers like Simpson, Nerode, and the IMLA community. Challenges are noted in developing modal type theories that satisfy properties like substitution while accounting for diverse applications and perspectives. Overall modal logic remains an active area with opportunities for further work.

Dialectica Categories Revisited

Valeria de Paiva

PLN para Tod@s

Valeria de Paiva

This document discusses Valeria de Paiva's career and involvement in women in logic groups. It provides links to websites about various women in logic conferences and workshops from 2015-2021. It also mentions Nastassja's and Gisele's blog posts on women in logic topics. Finally, it discusses developing natural language resources and frameworks for Portuguese and adapting existing tools to Portuguese.

Going Without: a modality and its role

Valeria de Paiva

1. The document discusses linear type theories and their categorical models. It provides background on early work developing linear type systems and categorical semantics. 2. Three main linear type theories are described - the Linear Lambda Calculus, DILL, and LNL - along with their corresponding categorical models. The relationships between these models are not immediately clear. 3. Internal language theorems are needed to relate the models and ensure they provide the right interpretation. A new type theory called ILT is proposed to combine intuitionistic and linear aspects using indexed categories as models.

Problemas de Kolmogorov-Veloso

Valeria de Paiva

Natural Language Inference: for Humans and Machines

Valeria de Paiva

The document discusses natural language inference, including the speaker's past work combining symbolic and distributional representations for inference. It describes the Graphical Knowledge Representation developed by the speaker and others, which separates conceptual and contextual information into graph sublayers. An experiment applying distributional representations to this framework achieved 99.5% accuracy on a challenging inference task, demonstrating the potential of a hybrid approach. The speaker concludes by discussing open challenges in developing systems that can reliably perform human-level natural language inference.

Dialectica Petri Nets

Valeria de Paiva

This document presents a summary of work applying the Dialectica construction to Petri nets. It defines the category of safe Dialectica Petri nets, where objects are tuples of events, conditions, and pre/post-condition relations, and morphisms are pairs of functions preserving these relations. Various extensions are discussed, such as allowing multiplicities in arcs or different lineales (sets of truth values) to model probabilities, rates, etc. The goal is to provide a compositional theory of Petri nets while enabling different kinds of arc labelling through the choice of lineale.

Negation in the Ecumenical System

Valeria de Paiva

This document discusses the concept of an ecumenical logic system that allows both classical and intuitionistic reasoning to coexist. It summarizes Dag Prawitz's approach to defining such a system, which uses different symbols for logical constants that have different meanings classically versus intuitionistically. However, the document raises the question of why Prawitz's system only includes one symbol for negation rather than separate classical and intuitionistic negation symbols. Possible answers discussed include the interderivability of the two notions of negation and the view that negation asserts a contradiction from assuming the negated proposition. The document does not conclude there is a definitive answer and suggests this as an interesting open problem area.

Constructive Modal and Linear Logics

Valeria de Paiva

The document discusses the history and development of modal and intuitionistic logics. It covers key figures like Frege, Hilbert, Gentzen, Prawitz, Martin-Löf, and Girard and how their work contributed to logic systems. It also discusses more recent work on constructive modal logics by researchers like Nerode, Simpson, and the Intuitionistic Modal Logic and Applications community. The document examines challenges in developing intuitionistic modal logics and potential solutions using category theory and modal cubes. It notes the importance of modal logic due to its applications in formal methods and computing.

NLCS 2013 opening slides

Valeria de Paiva

This document discusses the history and current state of studying logic, computation, and language. It notes several European and North American conferences on these topics that have been held since the 1980s. It also mentions related areas of study like formal grammar, programming languages, and language technology. While statistical natural language processing is developing rapidly and creating jobs, the document raises some concerns about overreliance on machine learning and a lack of experiments hybridizing different methods. It concludes by asking for thoughts on pulling resources together or creating a new workshop or mailing list.

Dialectica Comonads

Valeria de Paiva

The document discusses modalities in linear logic and dialectica categories. It motivates studying (co)monads and (co)algebras as constructive modalities in linear logic. It describes how the linear logic bang modality ! can be modeled as a comonad in dialectica categories. Specifically, in the dialectica category Dial2(C), ! is modeled as a cofree comonad. This provides a model of intuitionistic linear logic with both linear and non-linear connectives. In the simpler category DDial2(C), modeling the bang requires composing two comonads.

Categorical Explicit Substitutions

Valeria de Paiva

The document discusses categorical semantics for explicit substitutions. It begins by motivating the need for categorical semantics of syntactic calculi to provide mathematical models and ensure correctness. It then discusses different categorical structures that can provide semantics for calculi with explicit substitutions, including indexed categories, context-handling categories, and E-categories/L-categories. These categorical models impose equations on explicit substitutions that correspond to the intended behavior. The document also discusses how additional type structures like functions, tensors, and the exponential/bang type can be modeled using these categorical structures. Overall, the document advocates for the use of category theory to guide the design of calculi with explicit substitutions and ensure their semantics are well-behaved.

Intuitive Semantics for Full Intuitionistic Linear Logic (2014)

Valeria de Paiva

This document provides an overview of linear logic and full intuitionistic linear logic. It introduces linear logic, which treats logical resources as premises that must be used exactly once. Full intuitionistic linear logic is then discussed, which extends intuitionistic linear logic with multiple conclusions. The document explores intuitive semantics for linear logic connectives based on interactions between a storekeeper and buyer in a "FashionMall". It concludes by advocating for game-based semantics and references other works in the field.

Dialectica and Kolmogorov Problems

Valeria de Paiva

1) The document discusses connections between Dialectica categories, Kolmogorov problems, and Veloso problems. Objects in the Dialectica category PV represent problems, with their elements representing instances and possible solutions. 2) A Kolmogorov problem is a triple representing an instance, possible solutions, and a condition relating them. Kolmogorov problems can model intuitionistic logic and provide semantics. 3) Morphisms in the Dialectica category represent reductions between problems. The document gives examples of geometric problems and their reductions using this framework.

Constructive Modalities

Valeria de Paiva

Gender Gap in Computing 2014

Valeria de Paiva

The document discusses the gender gap in computing and whether it presents a problem. It notes that some key questions around this issue include whether departments should take affirmative action to hire more women or balance gender on committees. The document then presents data from Israel showing the disproportionately low numbers of women in computing fields from undergraduate through professor levels from 1995 to 2009. It also lists some potential barriers facing women, such as issues around postdoctoral work and motherhood, a perceived cold atmosphere in academia, stereotypes associating some fields with masculinity, and implicit gender bias. Finally, it discusses some actions that could be taken to address the gender gap, such as providing support for women postdocs, creating family-friendly policies, addressing biases

Categorical Proof Theory for Everyone

Valeria de Paiva

The document discusses the history of proofs from ancient Greeks to modern times. It covers key developments like the formalization of algebra in the late 19th century, Frege's work on symbolic logic, Hilbert's program to give mathematics a secure logical foundation, Gödel's incompleteness theorems, Gentzen's natural deduction system, the Curry-Howard correspondence between proofs and programs, and categorical proof theory which models proofs as objects in a category. Categorical proof theory uses the Curry-Howard correspondence to transfer tools between logic, category theory, and computer science.

Más de Valeria de Paiva (20)

Dialectica Comonoids

Dialectica Categorical Constructions

Logic & Representation 2021

Constructive Modal and Linear Logics

Dialectica Categories Revisited

PLN para Tod@s

Going Without: a modality and its role

Problemas de Kolmogorov-Veloso

Natural Language Inference: for Humans and Machines

Dialectica Petri Nets

Negation in the Ecumenical System

Constructive Modal and Linear Logics

NLCS 2013 opening slides

Dialectica Comonads

Categorical Explicit Substitutions

Intuitive Semantics for Full Intuitionistic Linear Logic (2014)

Dialectica and Kolmogorov Problems

Constructive Modalities

Gender Gap in Computing 2014

Categorical Proof Theory for Everyone

Último

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

IJECEIAES

Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network

integral complex analysis chapter 06 .pdf

gaafergoudaay7aga

Comparative analysis between traditional aquaponics and reconstructed aquapon...

bijceesjournal

The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.

Welding Metallurgy Ferrous Materials.pdf

AjmalKhan50578

Embedded machine learning-based road conditions and driving behavior monitoring

IJECEIAES

Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.

Advanced control scheme of doubly fed induction generator for wind turbine us...

IJECEIAES

This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

Null Bangalore | Pentesters Approach to AWS IAM

Divyanshu

#Abstract: - Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices. - Gain actionable insights into AWS IAM policies and roles, using hands on approach. #Prerequisites: - Basic understanding of AWS services and architecture - Familiarity with cloud security concepts - Experience using the AWS Management Console or AWS CLI. - For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/) # Scenario Covered: - Basics of IAM in AWS - Implementing IAM Policies with Least Privilege to Manage S3 Bucket - Objective: Create an S3 bucket with least privilege IAM policy and validate access. - Steps: - Create S3 bucket. - Attach least privilege policy to IAM user. - Validate access. - Exploiting IAM PassRole Misconfiguration -Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources. - Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access. - Steps: - Allow user to pass IAM role to EC2. - Exploit misconfiguration for unauthorized access. - Access sensitive resources. - Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role - An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role. - Objective: Show how overly permissive IAM roles can lead to privilege escalation. - Steps: - Create role with administrative privileges. - Allow user to assume the role. - Perform administrative actions. - Differentiation between PassRole vs AssumeRole Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)

Engineering Drawings Lecture Detail Drawings 2014.pdf

abbyasa1014

Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...

shadow0702a

This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL. The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process. The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging. It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal. Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages. Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.

CEC 352 - SATELLITE COMMUNICATION UNIT 1

PKavitha10

Mechanical Engineering on AAI Summer Training Report-003.pdf

21UME003TUSHARDEB

Properties Railway Sleepers and Test.pptx

MDSABBIROJJAMANPAYEL

Applications of artificial Intelligence in Mechanical Engineering.pdf

Atif Razi

Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI. AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.

An improved modulation technique suitable for a three level flying capacitor ...

IJECEIAES

This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed simplified modulation technique paves the way for more straightforward and efficient control of multilevel inverters, enabling their widespread adoption and integration into modern power electronic systems. Through the amalgamation of sinusoidal pulse width modulation (SPWM) with a high-frequency square wave pulse, this controlling technique attains energy equilibrium across the coupling capacitor. The modulation scheme incorporates a simplified switching pattern and a decreased count of voltage references, thereby simplifying the control algorithm.

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf

Yasser Mahgoub

Rainfall intensity duration frequency curve statistical analysis and modeling...

bijceesjournal

Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval. Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall. Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.

Design and optimization of ion propulsion drone

bjmsejournal

Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.

cnn.pptx Convolutional neural network used for image classication

SakkaravarthiShanmug

Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt

KrishnaveniKrishnara1

Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications. Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

VICTOR MAESTRE RAMIREZ

Networked Mathematics: NLP tools for Better Science

1. 1/13 Introduction NLP and Transformers Networked Mathematics Networked Mathematics™ NLP tools for Better Science Valeria de Paiva Topos Institute April 2022 Valeria de Paiva Topos

2. 2/13 Introduction NLP and Transformers Networked Mathematics Thanks, Fabio and Davide! Valeria de Paiva Topos

3. 3/13 Introduction NLP and Transformers Networked Mathematics NLP research? Valeria de Paiva Topos

4. 4/13 Introduction NLP and Transformers Networked Mathematics Semantics & Language Samsung SRA (2019): Dialogue and Knowledge Representation Lab, project: systems to make Bixby (voice personal assistant) communicate well with home appliances at SmartHome Nuance Comms (2012-2018): AI to make sounds into knowledge, health systems, automotive, law, CRM, banks, insurance, etc projects: personal assistant for Living Room (TV 2nd screen), PA for automotive companies Rearden Commerce (2011-2012): a white-labelling shop for travel and expenses/procurement systems. air travel tickets, hotels, shows & sports, restaurants, parking, etc project: a Groupon-like app, ontologies, discover what hotel reviewers really valued Cuil (2008-2010) search analysis, PARC Forum: Adventures in Searchland Valeria de Paiva Topos

5. 5/13 Introduction NLP and Transformers Networked Mathematics How to think about language understanding? Valeria de Paiva Topos

6. 6/13 Introduction NLP and Transformers Networked Mathematics How to think about language understanding? Valeria de Paiva Topos

7. 7/13 Introduction NLP and Transformers Networked Mathematics Conversational UI applications AI Summit 2018, Luxembourg Valeria de Paiva Topos

8. 8/13 Introduction NLP and Transformers Networked Mathematics Conversational Reasoning Engines AI Summit 2018, Luxembourg Valeria de Paiva Topos

9. 9/13 Introduction NLP and Transformers Networked Mathematics Can we read Math texts? Work of almost nine years at PARC was out of reach when I left in 2008 Pleased to report that almost all of it is now available open-source, redone from scratch, using new techniques. work of Katerina Kalouli, PhD thesis 2021 Hy-NLI: a hybrid NLI engine, computes inference in a hybrid way by employing the symbolic system GKR4NLI and the deep learning model BERT; XplaiNLI: explainability of the Hy-NLI system and sketches of explanations for the decisions made by each component of Hy-NLI; GKR4NLI a symbolic NLI engine that computes the inference relation between a pair of sentences GKR parser transforms a given sentence into a layered semantic graph, its symbolic representation Demos for all components! Valeria de Paiva Topos

10. 10/13 Introduction NLP and Transformers Networked Mathematics Knowledge Graph for Maths? Doing semantics is expensive, we can get much information with less than full semantics But we need the specific vocabulary. How do we get it? Term extractors: Open Tapioca, TextRank, DyGIE++, Parmenides (our NIST collaborators) the ones we tried No one is specific for mathematics, but DyGIE++ is about scientific text Bottleneck is always evaluation: difficult and not super fun Human annotation in this domain is expensive and difficult to obtain Can we use ‘silver datasets’ instead? Valeria de Paiva Topos

11. 11/13 Introduction NLP and Transformers Networked Mathematics Knowledge Graph for Maths Author keywords are ‘guaranteed’ sound keywords, but won’t be all the story Need to add ‘trivial’ keywords for experts – these are extractive, e.g. ‘category’ in a journal about Category Theory there are many expressions that are keyword-like, e.g. ”Future work”, that do not correspond to concepts So ‘linguistic concepts’ are broader than mathematical concepts Can training on guaranteed keywords be enough to obtain concepts and only concepts? Valeria de Paiva Topos

12. 12/13 Introduction NLP and Transformers Networked Mathematics Conversational UI applications AI Summit 2018, Luxembourg eventually Hy-NLI! Valeria de Paiva Topos

13. 13/13 Introduction NLP and Transformers Networked Mathematics Conclusions Knowledge representation for Mathematics is fun, interesting, useful. and underdeveloped! Payoff is incredibly high, see our blog post ‘Introducing the MathFoldr Project’ https://topos.site/blog/2021/07/ introducing-the-mathfoldr-project/ NLP tools are becoming better every week, need to make use of this productivity Valeria de Paiva Topos

Networked Mathematics: NLP tools for Better Science

Recomendados

Recomendados

Más contenido relacionado

Similar a Networked Mathematics: NLP tools for Better Science

Similar a Networked Mathematics: NLP tools for Better Science (20)

Más de Valeria de Paiva

Más de Valeria de Paiva (20)

Último

Último (20)

Networked Mathematics: NLP tools for Better Science