AI4Media - European Leadership in Human-Centred Trustworthy AI session

•

0 likes•653 views

1. The document discusses European leadership in human-centered and trustworthy artificial intelligence, focusing on the AI4Media project. 2. AI4Media involves 30 partners across universities, research centers, and industry working on applications of AI for the media industry and society, including detecting deepfakes and manipulated media. 3. The summary emphasizes the need to balance fundamental and applied AI research, ensure open data and industry datasets, and focus on issues like bias, discrimination, and transparency to develop society-centered AI and maintain European leadership.

1
European Leadership in Human-
Centred Trustworthy AI
Yiannis Kompatsiaris, CERTH - ITI
12th European Innovation Summit, December 11th, 2020

AI4Media: Artificial Intelligence for the
Society and the Media Industry
Delivering the next generation
of core AI advances to serve
the key sector of Media 2

30 partners:
universities
research
centers
industry

4
Media
• Information and communication production and delivery
• News and journalism
• Social Media
• Entertainment, film production
• Arts and creativity
Society and Democracy
• Economic value
• Societal values and opinions towards a democratic society
• If things go wrong, polarization and crises (e.g. fake news,
deepfakes)
Media, Society and Democracy

Manipulation and synthetic content
detection
5
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
• Easy way to identify
manipulated media
without any expertise
• Mitigate the spread of
disinformation and fake
news, prevent frauds
• Future challenges:
• sophisticated online bots
+ synthetic content
• from fake news to fake
humans

6
• Continue supporting R&D
• Great progress in AI but we are not there yet
• Cannot be leaders if we follow advances happening
elsewhere
• Balance between fundamental aspects and
problem/application-driven specific/targeted research
• Balance between small-scale and large-scale efforts
(e.g. lighthouse vs collaborative projects)
• ΑΙ and data
• Openness and availability
• Industry-relevant effective datasets
• Transforming data assets (e.g. media archives) to
useful datasets
• Ensure quality and fairness
Leadership in AI

7
• Mainstream Education About AI
• For European Business - and for the Public
• Enhance AI uptake and AI effectiveness/acceptance
• Society-centred AI: challenges of AI at the group
level
• Mitigate biases and beyond, detect faster
discrimination and fundamental rights issues
• AI in creating new forms of inequality: uneven
distribution of AI systems, know how, impact on certain
groups, “'leave no one behind’.
• Tech and human aspects integration, how AI is used
and consumed by their intended (and unintended)
users. Transparency: people have the right to know
what’s going on behind the scenes.
Leadership in AI

8
International AI Doctoral Academy (IAIDA)
• a dense programme of internships, secondments and
collaborative PhD programmes
• establish links that will extend even beyond media, to
all aspects of European AI research
• build long-term links between academia and industry
Cascade Funding Programme
• focus on SMEs (media sector, creative industries)
• speed up the uptake of cutting edge R&D
(experimentation)
• quick transfer to the market (new business models and
deployment)
• access to talent from IAIDA
Education and tech transfer in AI4Media

AI4Media - European Leadership in Human-Centred Trustworthy AI session

We live in a “digital” world, the separation between physical and virtual makes (almost) no sense anymore. Here, the Corona pandemic has also acted as an accelerator/magnifier demonstrating that the future of our digital society is here with all its possibilities, but also shortcomings. In his talk, Hannes Werthner will briefly reflect on the history of computer science, and then discuss the need for an interdisciplinary response to these shortcomings. Such an answer is the Digital Humanism, which looks at this interplay of technology and humankind, it analyzes, and, most importantly, tries to influence the complex interplay of technology and humankind, for a better society and life. In the second part he will discuss this approach, and show what was achieved since its first workshop in 2019, and what lies ahead.

What's hot

Digital ready policymaking and the digital screening process(1)

PanagiotisKeramidis

IoT & Privacy; 'By Design' or 'After Design?

Delft Design for Values Institute

Samos 2020 Summit Intro

samossummit

ICDS2 IARIA presentation M. Hartog

eSociety Institute of The Hague University of Applied Sciences

Driving digital inclusion

CILIP

Caribbean needs more inclusive approach towards digital economy particpation

Shiva Bissessar

Mifb 16th Feb SirrisAlain Tondreau

35proposals 18052020 sinipuro

Sitra / Hyvinvointi

Responsible Use of IoT Data in Research

Delft Design for Values Institute

From e-Readiness to e-Awareness (or the way back)

Ismael Peña-López

New digital media

New bulgarian university,Varna free university

Digital Philly

guest1a942ab7

OpenDataGarage-Session4-GiorgioPrister-MajorCitiesofEuropeItalyFing

education today´s

sergioprimaria1993

Alex Corbi - Visualizing open data with carto_db

Open Labs Albania

Jisc R&D work in Research Analytics

Verena139

Passports to Open Information and Knowledge Exchange

IAALD Community

TECHCAMP MALI - ITC For Community Developement (Prez)Bacely YoroBi

Open data MISA_ON November 2011

City of London

What's hot (19)

Digital ready policymaking and the digital screening process(1)

IoT & Privacy; 'By Design' or 'After Design?

Samos 2020 Summit Intro

ICDS2 IARIA presentation M. Hartog

Driving digital inclusion

Caribbean needs more inclusive approach towards digital economy particpation

Mifb 16th Feb Sirris

35proposals 18052020 sinipuro

Responsible Use of IoT Data in Research

From e-Readiness to e-Awareness (or the way back)

New digital media

Digital Philly

OpenDataGarage-Session4-GiorgioPrister-MajorCitiesofEuropeItaly

education today´s

Alex Corbi - Visualizing open data with carto_db

Jisc R&D work in Research Analytics

Passports to Open Information and Knowledge Exchange

TECHCAMP MALI - ITC For Community Developement (Prez)

Open data MISA_ON November 2011

Similar to AI4Media - European Leadership in Human-Centred Trustworthy AI session

AI & Democracy

George Tilesch

Governing algorithms – perils and powers of ai in the public sector1(1)

PanagiotisKeramidis

IT does not stop

Förderverein Technische Fakultät

Disinformation and AI: Separating fact from fiction

TitanEurope1

Presentation by Ana Fernandez from VUB on the challenges presented by disinformation, and how the TITAN project is advancing the state of the art in countering this phenomenon through AI tools. Namely, using a chatbot to help people ask the right question about content to decide if it is true or not. This presentation was given at the European Week of Regions and Cities 2023. To learn more about TITANs approach and to subscribe for updates visit www.titanthinking.eu

Profile

SiddhiGupta29

Payal Arora: Expert Practice

Dr. Payal Arora

Smart Specialisation: Enabling ICT to drive innovation in EU regionsThanassis Papadimitriou

WHAT NEXT FOR DIGITAL SOCIAL INNOVATION?. Report DSI

eraser Juan José Calderón

Artificial Intelligence in Education: Ethical Futures

Robert Farrow

Artificial intelligence (AI) offers the possibility of enabling human self-realisation; enhancing human agency; increasing societal capability; and cultivating social cohesion (Floridi et al., 2018). A review of ethical principles in AI (Floridi & Cowls, 2019) suggests that 47 principles proposed by various initiatives can be reduced to four traditional moral principles (beneficence; non-maleficence; autonomy; justice) and one new one (explicability). This webinar will interpret this ethical framework with respect to the potential for AI supported education. It will explore the roles of algorithms, institutional policies and pedagogical innovation in developing learning systems and offer normative reflections on the future role of AI in education. Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1 Floridi, L., Cowls, J., Beltrametti, M. et al. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines 28, 689–707. https://doi.org/10.1007/s11023-018-9482-5

The Future is in Responsible Generative AI

Saeed Al Dhaheri

I Minds2009 User, Market & Policy Researc Prof Caroline Pauwels (Ibbt Smit ...imec.archive

Marsden Regulating Disinformation Kluge 342020

Chris Marsden

Artificial Intelligence and life in 2030

Muazzam ali

Collective Awareness and Digital Social Innovation in the European Union

Crowdsourcing Week

The Age of Artificial Intelligence; Towards a European Strategy for Human-Cen...

Delft Design for Values Institute

Presentation by Mario Mariniello (Digital Adviser of the European Political Strategy Centre, European Commission) at the event "Incorporating Ethical Considerations in Autonomous & Intelligent Systems (A/IS) – Policy & Industry Requirements in the Algorithmic Age". The event took place on 11 June 2018 and was jointly organized by IEEE Standards Association (IEEE-SA) and the Delft Design for Values Institute (DDFV). For more info see http://designforvalues.tudelft.nl/event/incorporating-ethical-considerations-in-ai-policy-industry-requirements/

The BROAD and EPHR projects (Barcelona, Spain – 27 Feb. 2010)

Cédric Laurant

Marsden regulating disinformation Brazil 2020

Chris Marsden

Helping City Councils  Understand their Citizens  and React

Hugo Zaragoza

Civic Algorithms: A digital intermediation challenge

University of Sydney

How might generative artificial intelligence (AI) and automation be undertaken to produce social good? In an increasingly automated digital media world, user agency is challenged through the loss of interaction functionality on the platforms, technologies and interfaces of everyday digital media use. Instead, algorithmically designed decision making processes function for users to assist them in making sense of these environments as a means of assisting them to seek out content that is relevant, of interest and entertaining. However, if the last five years are anything to go by, these sorts of recommendations, particularly across social media, have caused anything but social cohesion and unity amongst users, and have instead spread misinformation, vitriol and hurtful media. Would our society be different had we designed systems that focused on, while still entertaining, content that places the wellbeing of humans at the forefront over content that is, for the most part, popular? This presentation uses the lens of digital intermediation to explore how civic algorithms might be designed and implemented in digital spaces to improve social cohesion. By unpacking the technologies, institutions and automation surrounding the cultural production practices of digital intermediation, it becomes clearer how these leavers can be adjusted to nudge and encourage platforms, users and content creators to engage in improved civic processes. As a digital intermediation challenge, creating and working with civic algorithms presents as a potentially useful approach towards improving the cornerstone of our democracies by ensuring citizens have access to accurate information, are engaging in the discussions that are important and relevant to them, and are operating within digital environments that value social good alongside commercial gains.

[DSC Europe 23] Luciano Catani - AI in Diplomacy.PDF

DataScienceConferenc1

Similar to AI4Media - European Leadership in Human-Centred Trustworthy AI session (20)

AI & Democracy

Governing algorithms – perils and powers of ai in the public sector1(1)

IT does not stop

Disinformation and AI: Separating fact from fiction

Profile

Payal Arora: Expert Practice

Smart Specialisation: Enabling ICT to drive innovation in EU regions

WHAT NEXT FOR DIGITAL SOCIAL INNOVATION?. Report DSI

Artificial Intelligence in Education: Ethical Futures

The Future is in Responsible Generative AI

I Minds2009 User, Market & Policy Researc Prof Caroline Pauwels (Ibbt Smit ...

Marsden Regulating Disinformation Kluge 342020

Artificial Intelligence and life in 2030

Collective Awareness and Digital Social Innovation in the European Union

The Age of Artificial Intelligence; Towards a European Strategy for Human-Cen...

The BROAD and EPHR projects (Barcelona, Spain – 27 Feb. 2010)

Marsden regulating disinformation Brazil 2020

Helping City Councils  Understand their Citizens  and React

Civic Algorithms: A digital intermediation challenge

[DSC Europe 23] Luciano Catani - AI in Diplomacy.PDF

More from Yiannis Kompatsiaris

From Research to Applications: What Can We Extract with Social Media Sensing?

Yiannis Kompatsiaris

SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.

Social media mining for sensing and responding to real-world trends and events

Yiannis Kompatsiaris

Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones.

Visual Information Analysis for Crisis and Natural Disasters Management and R...

Yiannis Kompatsiaris

Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative.

Sensor Based Ambient Assisted Living

Yiannis Kompatsiaris

This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants.

Social Media Analytics for Graph-Based Event Detection

Yiannis Kompatsiaris

The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams.

Social Media Verification Challenges, Approaches and Applications

Yiannis Kompatsiaris

As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction)

Processing Large Complex Data

Yiannis Kompatsiaris

The DemaWare Service-Oriented AAL Platform for People with Dementia

Yiannis Kompatsiaris

This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes.

Vision about Social Networks Content Exploitation (EC Concertation meeting)

Yiannis Kompatsiaris

Dem@care Project Short Overview

Yiannis Kompatsiaris

Social Media Crawling and Mining Seminar (Motivation Part)Yiannis Kompatsiaris

"Μια πόλη από το μέλλον": Πως ο πολίτης μπορεί να γίνει συμμέτοχος μέσω της χ...

Yiannis Kompatsiaris

Παρουσιάζονται παραδείγματα και αποτελέσματα του Εργαστηρίου Γνώσης, Πολυμέσων και Ανάλυσης Κοινωνικών Δικτύων του ΕΚΕΤΑ-ΙΠΤΗΛ (http://mklab.iti.gr) που αφορούν εφαρμογές που υποστηρίζουν τη συμμετοχή των πολιτών σε τομείς όπως: Αυτο-οργάνωση εθελοντικών κινημάτων, Συλλογική καταγραφή προβλημάτων, Συμμετοχή στη διαχείριση προβλημάτων και δημοσίου χώρου, Σχεδιασμό σε μελλοντικές δράσεις και έργα στην πόλη. Η παρουσίαση δόθηκε στα πλαίσια του συνεδρίου "Μια πόλη από το μέλλον", που διοργανώθηκε από την Παράλλαξη: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon

Social Data and Multimedia Analytics for News and Events Applications

Yiannis Kompatsiaris

The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation – Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos – Applications MM News Demo Clusttour Thessfest Conclusions

Τεχνικές Αναγνώρισης Προτύπων και Μηχανικής Μάθησης για Εφαρμογές Ανάλυσης Πο...

Yiannis Kompatsiaris

Η ομιλία περιλαμβάνει εφαρμογές τεχνικών αναγνώρισης προτύπων και μηχανικής μάθησης σε ανάλυση πολυμέσων και κοινωνικών δικτύων. Πιο συγκεκριμένα, θα παρουσιαστούν τεχνικές και εφαρμογές κατάτμησης εικόνων με χρήση Κ-Μέσων και επεκτάσεων, χρήση Support Vector Ma-chines για μάθηση εννοιών σε εικόνες καθώς και τεχνικές ανάλυσης γράφων από κοινωνικά δίκτυα. Θα παρουσιαστούν σχετικές εφαρμογές που αξιοποιούν τα αποτελέσματα της ανάλυσης, όπως αναζήτηση πολυμέσων και εφαρμογή για τουρισμό και ενημέρωση από κοινωνικά δίκτυα. Θα αναφερθούν τρέχοντα ερευνητικά προβλήματα και περιοχές.

Άνοια στο σπίτι: Τεχνολογίες για παρακολούθηση από απόσταση και ανεξάρτητη δ...

Yiannis Kompatsiaris

SocialSensor Project: Sensing User Generated Input for Improved Media Discove...

Yiannis Kompatsiaris

Improve My City: App for Citizens Reporting Issues in Municipalities – Regions

Yiannis Kompatsiaris

Socialsensor project overview and topic discovery in tweeter streams

Yiannis Kompatsiaris

Introduction for the Summer School on Social Media Modeling and Search 2012Yiannis Kompatsiaris

Social media mining and multimedia analysis research and applications

Yiannis Kompatsiaris

In this talk, research and applications in social media mining and multimedia analysis are going to be presented. Social media sharing websites host billions of images and videos, which have been annotated and shared among friends, or published in groups that cover a specific topic of interest. The fact that users annotate and comment on the content in the form of tags, ratings, preferences and so on, and that these activities are performed on a daily basis, gives such social media data source an extremely dynamic nature that reflects topics of interests, events and the evolution of community opinion and focus. The talk will present research challenges and activities and will focus on multi-modal graph-based community detection methods for social media mining, concept and event detection. Clusttour, a mobile and web application integrating research results with appropriate interface design will be demonstrated as a relevant use case. The talk will also include approaches for object/region classifiers learned using the self-training paradigm with loosely annotated training samples automatically selected from social media.

More from Yiannis Kompatsiaris (20)

From Research to Applications: What Can We Extract with Social Media Sensing?

Social media mining for sensing and responding to real-world trends and events

Visual Information Analysis for Crisis and Natural Disasters Management and R...

Sensor Based Ambient Assisted Living

Social Media Analytics for Graph-Based Event Detection

Social Media Verification Challenges, Approaches and Applications

Processing Large Complex Data

The DemaWare Service-Oriented AAL Platform for People with Dementia

Vision about Social Networks Content Exploitation (EC Concertation meeting)

Dem@care Project Short Overview

Social Media Crawling and Mining Seminar (Motivation Part)

"Μια πόλη από το μέλλον": Πως ο πολίτης μπορεί να γίνει συμμέτοχος μέσω της χ...

Social Data and Multimedia Analytics for News and Events Applications

Τεχνικές Αναγνώρισης Προτύπων και Μηχανικής Μάθησης για Εφαρμογές Ανάλυσης Πο...

Άνοια στο σπίτι: Τεχνολογίες για παρακολούθηση από απόσταση και ανεξάρτητη δ...

SocialSensor Project: Sensing User Generated Input for Improved Media Discove...

Improve My City: App for Citizens Reporting Issues in Municipalities – Regions

Socialsensor project overview and topic discovery in tweeter streams

Introduction for the Summer School on Social Media Modeling and Search 2012

Social media mining and multimedia analysis research and applications

Recently uploaded

20240520 Planning a Circuit Simulator in JavaScript.pptx

Sharon Liu

Mudde & Rovira Kaltwasser. - Populism in Europe and the Americas - Threat Or...

frank0071

Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...

University of Maribor

Phenomics assisted breeding in crop improvement

IshaGoswami9

As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus, high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology, and analysis methods, numerous infrastructure platforms have been developed for phenotyping.

Toxic effects of heavy metals : Lead and Arsenic

sanjana502982

SAR of Medicinal Chemistry 1st by dk.pdf

KrushnaDarade1

NuGOweek 2024 Ghent programme overview flyer

pablovgd

Red blood cells- genesis-maturation.pptx

muralinath2

Leaf Initiation, Growth and Differentiation.pdf

RenuJangid3

Eukaryotic Transcription Presentation.pptx

RitabrataSarkar3

DMARDs Pharmacolgy Pharm D 5th Semester.pdf

fafyfskhan251kmf

Nucleophilic Addition of carbonyl compounds.pptx

SSR02

Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general. Carbonyls undergo addition reactions with a large range of nucleophiles. Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen. Electronic effects (inductive effects, electron donation) have a large impact on reactivity. Large groups adjacent to the carbonyl will slow the rate of reaction. Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.

如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样

yqqaatn0

原版纸张【微信：741003700 】【(uvic毕业证书)维多利亚大学毕业证】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...

University of Maribor

platelets_clotting_biogenesis.clot retractionpptx

muralinath2

Richard's aventures in two entangled wonderlands

Richard 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.

Mudde & Rovira Kaltwasser. - Populism - a very short introduction [2017].pdf

frank0071

mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt

HongcNguyn6

Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...

Ana Luísa Pinho

Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.

Introduction to Mean Field Theory(MFT).pptx

zeex60

Recently uploaded (20)

20240520 Planning a Circuit Simulator in JavaScript.pptx

Mudde & Rovira Kaltwasser. - Populism in Europe and the Americas - Threat Or...

Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...

Phenomics assisted breeding in crop improvement

Toxic effects of heavy metals : Lead and Arsenic

SAR of Medicinal Chemistry 1st by dk.pdf

NuGOweek 2024 Ghent programme overview flyer

Red blood cells- genesis-maturation.pptx

Leaf Initiation, Growth and Differentiation.pdf

Eukaryotic Transcription Presentation.pptx

DMARDs Pharmacolgy Pharm D 5th Semester.pdf

Nucleophilic Addition of carbonyl compounds.pptx

如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样

Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...

platelets_clotting_biogenesis.clot retractionpptx

Richard's aventures in two entangled wonderlands

Mudde & Rovira Kaltwasser. - Populism - a very short introduction [2017].pdf

mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt

Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...

Introduction to Mean Field Theory(MFT).pptx

AI4Media - European Leadership in Human-Centred Trustworthy AI session

1. 1 European Leadership in Human- Centred Trustworthy AI Yiannis Kompatsiaris, CERTH - ITI 12th European Innovation Summit, December 11th, 2020

2. AI4Media: Artificial Intelligence for the Society and the Media Industry Delivering the next generation of core AI advances to serve the key sector of Media 2

3. 30 partners: universities research centers industry

4. 4 Media • Information and communication production and delivery • News and journalism • Social Media • Entertainment, film production • Arts and creativity Society and Democracy • Economic value • Societal values and opinions towards a democratic society • If things go wrong, polarization and crises (e.g. fake news, deepfakes) Media, Society and Democracy

5. Manipulation and synthetic content detection 5 DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection • Easy way to identify manipulated media without any expertise • Mitigate the spread of disinformation and fake news, prevent frauds • Future challenges: • sophisticated online bots + synthetic content • from fake news to fake humans

6. 6 • Continue supporting R&D • Great progress in AI but we are not there yet • Cannot be leaders if we follow advances happening elsewhere • Balance between fundamental aspects and problem/application-driven specific/targeted research • Balance between small-scale and large-scale efforts (e.g. lighthouse vs collaborative projects) • ΑΙ and data • Openness and availability • Industry-relevant effective datasets • Transforming data assets (e.g. media archives) to useful datasets • Ensure quality and fairness Leadership in AI

7. 7 • Mainstream Education About AI • For European Business - and for the Public • Enhance AI uptake and AI effectiveness/acceptance • Society-centred AI: challenges of AI at the group level • Mitigate biases and beyond, detect faster discrimination and fundamental rights issues • AI in creating new forms of inequality: uneven distribution of AI systems, know how, impact on certain groups, “'leave no one behind’. • Tech and human aspects integration, how AI is used and consumed by their intended (and unintended) users. Transparency: people have the right to know what’s going on behind the scenes. Leadership in AI

8. 8 International AI Doctoral Academy (IAIDA) • a dense programme of internships, secondments and collaborative PhD programmes • establish links that will extend even beyond media, to all aspects of European AI research • build long-term links between academia and industry Cascade Funding Programme • focus on SMEs (media sector, creative industries) • speed up the uptake of cutting edge R&D (experimentation) • quick transfer to the market (new business models and deployment) • access to talent from IAIDA Education and tech transfer in AI4Media

AI4Media - European Leadership in Human-Centred Trustworthy AI session

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Similar to AI4Media - European Leadership in Human-Centred Trustworthy AI session

Similar to AI4Media - European Leadership in Human-Centred Trustworthy AI session (20)

More from Yiannis Kompatsiaris

More from Yiannis Kompatsiaris (20)

Recently uploaded

Recently uploaded (20)

AI4Media - European Leadership in Human-Centred Trustworthy AI session