The document summarizes a seminar given by Dr. Haithem Afli on natural language engineering and artificial intelligence. It discusses how language processing has long been important for communication and how early civilizations like the Tower of Babel and House of Wisdom sought to process different languages. Recent advances in deep learning like BERT, GPT-2, and Transformers have driven progress in natural language processing. Current challenges include generating realistic text, addressing common sense problems, and applying NLP and machine learning to issues like predicting migration flows and developing digital health solutions.
These slides are the summary of y presentation on A.I. In Africa: Perspectives and Challenges during the Conference organized by MBCode Consulting Group under the theme: where is Africa on the map of AI?. The goal was to evangelize and raise awareness among the youth about A.I. and how it applies on the continent, and also the necessity to invest time on that direction
Legal Risks and Preventive Measures in ChatGPT Applicationsijtsrd
In November 2020, OpenAI officially launched their new generation of generative artificial intelligence, ChatGPT, based on large language models. ChatGPT garnered the attention and usage of over a billion people in less than two months, making it the fastest consumer level application to reach this milestone. As a generative AI, ChatGPT not only achieved remarkable success in the market but also contributed to the advancements in the field of generative AI, with its representation of 2022s top ten scientific breakthroughs in the international reputable journal, Science. Generative artificial intelligence is having a profound impact on our lives and work, with one of the most critical aspects being its algorithms. These algorithms directly influence the learning performance of the entire intelligent system and the quality of recommendations. However, with the widespread application of algorithms and the continuous evolution of artificial intelligence, a series of regulatory and management issues have arisen. Many countries worldwide are continually strengthening algorithm oversight to ensure transparency, fairness, and security. This project, part of a university student innovation training program, will primarily focus on researching personal information security risks among the potential risks associated with generative artificial intelligence. The following will provide an introduction to what generative artificial intelligence is, the personal information security risks and preventive measures involved in generative artificial intelligence. Chen Jiaqi | Zhen Yunuo | Guo Simeng "Legal Risks and Preventive Measures in ChatGPT Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60109.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/60109/legal-risks-and-preventive-measures-in-chatgpt-applications/chen-jiaqi
These slides are the summary of y presentation on A.I. In Africa: Perspectives and Challenges during the Conference organized by MBCode Consulting Group under the theme: where is Africa on the map of AI?. The goal was to evangelize and raise awareness among the youth about A.I. and how it applies on the continent, and also the necessity to invest time on that direction
Legal Risks and Preventive Measures in ChatGPT Applicationsijtsrd
In November 2020, OpenAI officially launched their new generation of generative artificial intelligence, ChatGPT, based on large language models. ChatGPT garnered the attention and usage of over a billion people in less than two months, making it the fastest consumer level application to reach this milestone. As a generative AI, ChatGPT not only achieved remarkable success in the market but also contributed to the advancements in the field of generative AI, with its representation of 2022s top ten scientific breakthroughs in the international reputable journal, Science. Generative artificial intelligence is having a profound impact on our lives and work, with one of the most critical aspects being its algorithms. These algorithms directly influence the learning performance of the entire intelligent system and the quality of recommendations. However, with the widespread application of algorithms and the continuous evolution of artificial intelligence, a series of regulatory and management issues have arisen. Many countries worldwide are continually strengthening algorithm oversight to ensure transparency, fairness, and security. This project, part of a university student innovation training program, will primarily focus on researching personal information security risks among the potential risks associated with generative artificial intelligence. The following will provide an introduction to what generative artificial intelligence is, the personal information security risks and preventive measures involved in generative artificial intelligence. Chen Jiaqi | Zhen Yunuo | Guo Simeng "Legal Risks and Preventive Measures in ChatGPT Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60109.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/60109/legal-risks-and-preventive-measures-in-chatgpt-applications/chen-jiaqi
The last 10 years have been tough for Russian civil society: rotation of political power was violated by the ruling regime. Opposition politicians became persecuted. Freedom of speech, freedom of expression, freedom of the media are roughly constrained by the new laws. Because of constant suppression, people are afraid to show their political opinion or to support opposition movements.
Under these complicated conditions, one of the social groups got a chance to serve a voice of liberation – digital media artists. Their hidden messages are sometimes elusive for the government so that the message eludes people in power and goes directly to the receivers. In the end, digital media artists can become a voice of freedom and unite the people for a bigger social change.
Understanding everyday users’ perception of socio-technical issues through s...Ahreum lee
I gave a talk at ImagineXLab, Seoul, Korea.
In this presentation, I would like to share my recent works that have been explored sociotechnical issues through social media data.
1) /r/Assholedesign: Online conversation about ethical concerns (ACM DIS 20' Honorable Mention Award)
2) /r/Digitalnomad: Current tensions in community-based spaces (ACM CHI 2019 LBW, CSCW 2019)
3) /r/Purdue: Everyday users’ perception of delivery robots on campus (ACM CSCW 2020 LBW)
The data!
Services from Data via Smart City API
IOT Applications and IOT
Personal Data vs Open
Big Data Analytics
App as data collection and User Engagement
Social Media Analysis
Visual Analytics and Dashboards
The Living Lab Approach
This talk proposes that the future of artificial intelligence is smart networks that have intelligence "baked in" in the form of Blockchain Distributed Ledgers for confirming authenticity and transferring value, and Deep Learning Algorithms for predictive identification. Smart networks are not a far-off possibility but already needed as deep learning systems are going online in connected apps for Autonomous Driving and Drone Delivery, and Human-Robot Interaction. Two high-impact contemporary emerging technologies for the future of AI are Blockchain Distributed Ledgers and Deep Learning Algorithms, and discusses their implications for the future of artificial intelligence.
Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel:...Paolo Nesi
The complexity of smart and sentient applications in smart cities is progressively increasing.
to reach higher precision.
time series prediction artificial intelligent, machine learning
Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc.
integration of open data, real time data and private IOT / personal data is increasing complexity of cyber-physical-social aspects:
to have the full control on the rights associated to their content
GDPR normative (since May 2018 in force) to regulate the access and control of privacy
I am bringing the experience of addressing
GDPR and Security and into Smart City Solutions with IOT
-----smart city impact----------------
Signed Consent vs Informed Consent
Smart Applications exploit personal data about (for example)
user position and actions for providing geolocated suggestions
home/work position, trajectories,
Payments and traces from bike sharing, from navigators, etc.
body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, ..
User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc.
IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, …
etc.
----GDPR: General Data Protection Regulation ---
Users are going to decide to:
provide access to who, for do what, until we consent
accept terms of use by signed consent for each data management service, before was a simple informed consent
from each service, the user has to be capable to
See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc.
Download, delete, inspect each single Data Type
Auditing and Revoke access or grant access right to each single Data Type
Delete all Data Types in single shot or singularly (forget all about me)
Algocracy and the state of AI in public administrations.Sandra Bermúdez
AI, as technical approach to solve problems, now is deploying in social systems and public administrations. What are the effects? the challenges? should we fear? What should we do?
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
The last 10 years have been tough for Russian civil society: rotation of political power was violated by the ruling regime. Opposition politicians became persecuted. Freedom of speech, freedom of expression, freedom of the media are roughly constrained by the new laws. Because of constant suppression, people are afraid to show their political opinion or to support opposition movements.
Under these complicated conditions, one of the social groups got a chance to serve a voice of liberation – digital media artists. Their hidden messages are sometimes elusive for the government so that the message eludes people in power and goes directly to the receivers. In the end, digital media artists can become a voice of freedom and unite the people for a bigger social change.
Understanding everyday users’ perception of socio-technical issues through s...Ahreum lee
I gave a talk at ImagineXLab, Seoul, Korea.
In this presentation, I would like to share my recent works that have been explored sociotechnical issues through social media data.
1) /r/Assholedesign: Online conversation about ethical concerns (ACM DIS 20' Honorable Mention Award)
2) /r/Digitalnomad: Current tensions in community-based spaces (ACM CHI 2019 LBW, CSCW 2019)
3) /r/Purdue: Everyday users’ perception of delivery robots on campus (ACM CSCW 2020 LBW)
The data!
Services from Data via Smart City API
IOT Applications and IOT
Personal Data vs Open
Big Data Analytics
App as data collection and User Engagement
Social Media Analysis
Visual Analytics and Dashboards
The Living Lab Approach
This talk proposes that the future of artificial intelligence is smart networks that have intelligence "baked in" in the form of Blockchain Distributed Ledgers for confirming authenticity and transferring value, and Deep Learning Algorithms for predictive identification. Smart networks are not a far-off possibility but already needed as deep learning systems are going online in connected apps for Autonomous Driving and Drone Delivery, and Human-Robot Interaction. Two high-impact contemporary emerging technologies for the future of AI are Blockchain Distributed Ledgers and Deep Learning Algorithms, and discusses their implications for the future of artificial intelligence.
Complexity of IOT/IOE Architectures for Smart Service Infrastructures Panel:...Paolo Nesi
The complexity of smart and sentient applications in smart cities is progressively increasing.
to reach higher precision.
time series prediction artificial intelligent, machine learning
Single data sets multi data sets, and big data: addressing heterogeneity, low quality and discontinuity, etc.
integration of open data, real time data and private IOT / personal data is increasing complexity of cyber-physical-social aspects:
to have the full control on the rights associated to their content
GDPR normative (since May 2018 in force) to regulate the access and control of privacy
I am bringing the experience of addressing
GDPR and Security and into Smart City Solutions with IOT
-----smart city impact----------------
Signed Consent vs Informed Consent
Smart Applications exploit personal data about (for example)
user position and actions for providing geolocated suggestions
home/work position, trajectories,
Payments and traces from bike sharing, from navigators, etc.
body signals/data for monitoring healthiness (glucose, temperature, etc.), for training sport, ..
User actions on applications: choices on menu, queries performed, mobile phones, requested paths, payments, etc.
IOT Devices data: mobile, buttons, trackers, but also temperature in house; position of our dogs, children, cars, bikes, …
etc.
----GDPR: General Data Protection Regulation ---
Users are going to decide to:
provide access to who, for do what, until we consent
accept terms of use by signed consent for each data management service, before was a simple informed consent
from each service, the user has to be capable to
See what the provider collect in terms of its Data Type: traces, logs, paths, profiles, accesses, IOT devices, sensors, maps, etc.
Download, delete, inspect each single Data Type
Auditing and Revoke access or grant access right to each single Data Type
Delete all Data Types in single shot or singularly (forget all about me)
Algocracy and the state of AI in public administrations.Sandra Bermúdez
AI, as technical approach to solve problems, now is deploying in social systems and public administrations. What are the effects? the challenges? should we fear? What should we do?
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
Similar to Natural Language Engineering in the Golden Age of Artificial Intelligence (20)
Résumé:
Les performances des systèmes de traduction automatique statistique
dépendent de la disponibilité de textes parallèles bilingues, appelés aussi bitextes.
Cependant, les textes parallèles librement disponibles sont aussi des
ressources rares~: la taille est souvent limitée, la couverture linguistique
insuffisante ou le domaine des textes n'est pas approprié. Il y a relativement
peu de paires de langues pour lesquelles des corpus parallèles de tailles
raisonnables sont disponibles pour certains domaines.
L'une des façons pour pallier au manque de données parallèles est d'exploiter les corpus
comparables qui sont plus abondants.
Les travaux précédents dans ce domaine n'ont été appliqués que pour la modalité texte.
La question que nous nous sommes posée durant cette thèse est de savoir
si un corpus comparable multimodal permet d’apporter des
solutions au manque de données parallèles dans le domaine de la traduction automatique.
Dans cette thèse, nous avons étudié comment utiliser des ressources provenant de différentes
modalités (texte ou parole) pour le développement d'un système de traduction automatique statistique.
Une première partie des contributions consiste à proposer une technique
pour l’extraction des données parallèles à partir d’un corpus comparable multimodal (audio et texte).
Les enregistrements sont transcrits avec un système de reconnaissance
automatique de la parole et traduits avec un système de traduction automatique.
Ces traductions sont ensuite utilisées comme requêtes d’un système de recherche
d’information pour sélectionner des phrases parallèles sans erreur et générer un bitexte.
Dans la deuxième partie des contributions, nous visons l'amélioration de notre méthode
en exploitant les entités sous-phrastiques créant ainsi une extension à
notre système en vue de générer des segments parallèles. Nous améliorons aussi le module de
filtrage. Enfin, nous présentons plusieurs manières d'aborder l'adaptation des
systèmes de traduction avec les données extraites.
Nos expériences ont été menées sur les données des sites web TED et Euronews
qui montrent la faisabilité de nos approches.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
2. If you think the language
industry is new
haithem.afli@cit.ie 2
3. If you think the language
industry is new, think again!
haithem.afli@cit.ie 3
Rosetta Stone (British Museum)
4. Natural Language :
An age-old industry ?
§ For as far back as we can see, human has needed to
communicate → so the origin of language industry is closely
intertwined with the need of communication itself
04/02/2020 haithem.afli@cit.ie 4
The Tower of Babel and The House of Wisdom in Bagdad (Bait-al-Hikma)
5. The importance of Language
Processing
07/02/2020 haithem.afli@cit.ie 5
Media agencies and translators interpreted the word “treat with silent contempt” or “take
into account” (to ignore), as the categorical rejection by the Prime Minister.
The Americans understood that there would never be a diplomatic end to the war and
were naturally annoyed by what they considered the arrogant tone used in the Japanese
translation of the Prime Minister’s response. International news agencies reported to the
world that in the eyes of the Japanese government the ultimatum was “not worthy of
comment.”
8. The Rise of Natural Language Processing
(NLP), and How it is Changing the Way we
Retrieve Information
07/02/2020 haithem.afli@cit.ie 8
The 'creator' of Bitcoin, Satoshi Nakamoto, is
the world's most elusive billionaire. Very few
people outside of the Department of
Homeland Security know Satoshi's real
name. Satoshi has taken great care to keep
his identity secret employing the latest
encryption and obfuscation methods in his
communications.
Despite these efforts Satoshi Nakamoto gave
investigators the only tool they needed to find him -
- his own words. Using NLP, NSA (and everyone!)
was able to compare texts to determine authorship
of a particular work.
More info: https://tech.slashdot.org/story/17/08/28/1725232/how-the-nsa-identified-satoshi-
nakamoto
9. Timeline of (modern) AI
haithem.afli@cit.ie
Graph from The University Of Queensland Brain Institute
The 1st AI
Winter
The second AI
Winter
Including CIT MSc in AI
https://www.cit.ie/course/CRKARIN9
9
10. The first AI winter
Haithem.afli@cit.ie
By 1964, the National Research Council (NRC)
had become concerned about the lack of progress
and formed the Automatic Language Processing
Advisory Committee (ALPAC) to look into the
problem.
They concluded, in a famous 1966 report, that
machine translation was more expensive, less
accurate and slower than human translation.
After spending some 20 million dollars, the NRC
ended all support.
Image from Wikipedia
11. Haithem.afli@cit.ie
In 1984, John McCarthy criticized expert systems because they lacked common sense
and knowledge about their own limitations.
Schwarz, Director of DARPA ISTO from 1987 to 1989 concluded that AI research has
always had
“… very limited success in particular areas, followed immediately by failure to reach the
broader goal at which these initial successes seem at first to hint…”.
Ø Decrease in funding in AI research.
Ø Many AI companies closed their doors.
Ø The AAAI conference that attracted over 6000
visitors in 1986 quickly decreased to just 2000
by 1991.
The second AI winter
12. The survivors
The Deep Learning God Fathers
Haithem.afli@cit.ie
Turing Award given for:
• “The conceptual and engineering breakthroughs that have made deep neural
networks a critical component of computing.”
14. 2014: Generative Adversarial
Networks
§ The neural network at
the top is the
discriminator, and its task
is to distinguish the
training set’s real
information from the
generator’s creations.
§ In the simplest GAN
structure, the generator
starts with random data
and learns to transform
this noise into
information that matches
the distribution of the
real data.
haithem.afli@cit.ie 14
15. Do you know this person?
Haithem.afli@cit.ie
https://thispersondoesnotexist.com/
19. DeepFake
§ The development of
deepfakes has taken place
to a large extent in two
settings: research at
academic institutions, and
development by amateurs
in online communities.
haithem.afli@cit.ie 19
20. GAN
Applications of GANs
ØGANs for Image Editing
ØUsing GANs for Security
(SSGAN: Secure Steganography Based on GAN)
ØDe-aging Robert De Niro!
(Martin Scorsese spent millions of Netflix's money
to digitally de-age De Niro, Pacino, and Pesci so they could portray these men throughout
different parts of their lives.)
Haithem.afli@cit.ie
21. 2016: Sequence to Sequence
Learning with Attention
haithem.afli@cit.ie
This mechanism allows the
network to refer back to the input
sequence, instead of forcing it to
encode all information into one
fixed-length vector
21
30. Addressing commensense problem
haithem.afli@cit.ie 30
Cunxiang Wang, Shuailong Liang , Yue Zhang , Xiaonan Li and Tian Gao. Does It Make Sense?
And Why? A Pilot Study for Sense Making and Explanation.
31. Addressing real-world challenges
§ AI Technologies
- Natural Language Processing (NLP)
- Social Media and UGC Analysis
- Computer Vision (CV)
- Machine/Deep Learning (ML-DL)
§ Applications
- Digital Humanities
- Fintech
- Digital Health and Life-science
- Social Science and Psychology
- Security and Cybersecurity
31haithem.afli@cit.ie
32. NLP and ML to Address the
European migration crisis
§ ITFLOWS will model migration to the EU in two stages:
07/02/2020 haithem.afli@cit.ie 32
The first stage comprises
migration flows from third
countries to the EU borders.
Within this first stage,
migration flows are broadly
differentiated into regular
and irregular flows. ITFLOWS
will focus on predicting
irregular flows at this stage,
as regular migration is
authorised and regulated by
the receiving countries, in
this case the EU member
states.
33. § ITFLOWS will model migration to the EU in two stages:
07/02/2020 haithem.afli@cit.ie 33
The second stage of
movement takes place
between the crossing of the
borders into the EU and the
final settlement of migrants
in the EU member states.
Ø Models for the accurate prediction of irregular migration flows from regions in five
countries of origin to the EU, and
Ø A holistic global model that will give predictions of the arrivals of irregular migrants
in all EU Member States.
NLP and ML to Address the European
migration crisis
36. Ethics and Data Privacy
§ The collection of tweets related to the countries of origin
will be based mainly on the language (and dialect) and an
estimated location. If we take the example of Syrian users,
ITFLOWS will be focusing on collecting public data of users
of Levantine Arabic (spoken in Lebanon, Jordan, Syria,
Palestine, and Israel) language who are located (based on
the Twitter API information) at least in the following
locations: https://data2.unhcr.org/en/situations/syria .
§ Since the location is only approximated, there will be no
discrimination based on the nationality in this task.
07/02/2020 haithem.afli@cit.ie 36
37. Ethics and Data Privacy
§ De-identification methods (Authorship Obfustication) for
natural language processing tasks: multiple steps need to be
addressed. ITFLOWS technological partners (CIT and FIZ) will
extract identifiers from text, and they will anonymise the
data set used for NLP tasks. For example, all addresses,
names, and so on by using named entity recogniser will be
removed.
§ This practice will be conducted according to the EU data
protection laws and, from a technical point of view, it will
be based on Differential Privacy for Text Document.
07/02/2020 haithem.afli@cit.ie 37
38. CIT team
07/02/2020 haithem.afli@cit.ie 38
Dr Haithem Afli
Computer
science Dep.
RIOMH
ADAPT@CIT
Eileen Crowley
Halpin Centre
for Research &
Innovation
CIT team received €528k H2020 fund
and will be led by
41. ML meets NLP to address Digital
Health challenges
07/02/2020 haithem.afli@cit.ie 41
The STOP project is addressing the
health societal challenge of
obesity through the foundation of
an innovative platform
to support Persons with Obesity
(PwO) with better nutrition under
the supervision of Healthcare
Professionals.
https://cordis.europa.eu/project/rcn/218245/factsheet/en
43. ML meets NLP to address Digital
Health challenges
07/02/2020 haithem.afli@cit.ie 43
The STOP Platform will capture
various PwO data from different kind
of smart sensor streams and Chatbot
technology, manage and enrich
available data with existing
knowledge bases and fuse these by
machine learned driven Data Fusion
approaches for sophisticated AI data
analysis.
https://cordis.europa.eu/project/rcn/218245/factsheet/en
45. CIT team
07/02/2020 haithem.afli@cit.ie 45
Yanxin Wu
PhD candidate in computer
science
Ryan Donovan
PhD candidate in psychology
Dr Haithem Afli
Principal Investigator
48. Interne Orange
Digital Service Provider (DSP)
E2E eHealth_slice:{type: eMBB}
Vertical
National Ambulance Service
ML meets CV to address the limitations of
current network infrastructures
Network Service Provider (NSP) B
RAN
Core
IP/MPLS MECCore DC EPC
NSSI: core slice
NSSI: RAN slice
NSI2: [RAN, Core IP/MPLS] Network Slice
https://slicenet.eu/
49. Interne Orange
Digital Service Provider (DSP)
E2E eHealth_slice:{type: eMBB}
Vertical
National Ambulance Service
Network Service Provider (NSP) B
RAN
Core
IP/MPLS MECCore DC EPC
NSSI: core slice
NSSI: RAN slice
NSI2: [RAN, Core IP/MPLS] Network Slice
https://slicenet.eu/
ML meets CV to address the limitations of
current network infrastructures
50. Interne Orange
Digital Service Provider (DSP)
Network Service Provider (NSP) A
RAN
EPCMEC Core DC
NSSI: RAN slice
NSSI: MEC slice
NSI1: [RAN + EPC + Core DC + Core IP/MPLS] Network Slice
NSSI: Core slice
Core
IP/MPLS
E2E eHealth_slice:{type: eMBB}
Vertical
National Ambulance Service
Network Service Provider (NSP) B
RAN
Core
IP/MPLS MECCore DC EPC
NSSI: core slice
NSSI: RAN slice
NSI2: [RAN, Core IP/MPLS] Network Slice
QoE: Perceived SNR, RSRP and RSRQ measurements
…
The signal quality will
be degraded for the
future 5 minutes
One Stop API/
P&P
Vertical feedback
https://slicenet.eu/
ML meets CV to address the limitations of
current network infrastructures
51. Microbiability in Beef Cattle
Archae
a Bacteri
a
Protozo
a Fung
i
Feed and hidric efficiency
Meat tenderness
Environmental impact
A better cattle
Variations in the microbiome
Can make
ML meets DA to address
Microbiability challenges
52. - Investigate the relation between the microbiome
components.
- Investigate the impact ot the microbiome
components in the cattle biology.
- Characterize the microbiome composition.
Rumen
Feces
N = 52 animals
- Several phenotypes measured.
- Microbial relative abundances
- Nelore is the predominant breed in Brazil.
Dr Bruno Gabriel
Abdrade Collecting
samples...
ML meets DA to address
Microbiability challenges