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CeADAR Ireland
Ireland
Registrace 27. 03. 2013
Video
Build Chatbot & RAG with No Code! LangFlow
zhlédnutí 172Před dnem
Welcome to LHP3-LLM, In this video, we delve into the world of AI workflows using LangFlow, an open-source visual framework that empowers you to create powerful AI tasks without the need for coding. Whether you’re building chatbots or complex retrieval-augmented generation (RAG) systems, LangFlow makes the process intuitive and accessible. In this tutorial, we’ll guide you through: The concept ...
Sustainable AI: Energy Metrics Estimation Approaches for AI Model
zhlédnutí 50Před 14 dny
Welcome to LHP3, where we explore the intersection of Artificial Intelligence and sustainability. In this episode, we dive deep into the often-overlooked environmental impact of AI models, particularly the significant energy demands required for training and deploying deep learning networks. In this video, we explore why it's crucial to estimate and monitor the energy consumption and carbon foo...
Understanding Bias Detection in Large Language Models
zhlédnutí 129Před 28 dny
Welcome to the Lighthouse Project! In this video, we explore the essential topic of bias detection in Large Language Models (LLMs). We'll cover what LLMs are, why detecting bias is crucial, and how biases like racial, gender, and age bias can affect various industries such as healthcare, recruitment, marketing, and finance. Learn about the root causes of bias in LLMs and discover strategies to ...
Why Companies Should Care About LLMs
zhlédnutí 104Před měsícem
Welcome to the third season of our Lighthouse Project! Today, we explore why companies should care about Large Language Models (LLMs). This video covers: What are Large Language Models? General Benefits of Large Language Models Specific Industry Use Cases Competitive Advantage and Future-Proofing Discover how LLMs like AMIE in healthcare, MasterCard's fraud detection, and Amazon's retail tools ...
Building Foundational Models from Heterogeneous and Multimodal Data Beyond Texts and Images
zhlédnutí 82Před měsícem
Foundational models (FMs), pretrained on extensive datasets using self-supervised techniques, can learn generalized patterns from vast amounts of data. This significantly reduces the need for large labeled datasets for new tasks, saving both time and resources by leveraging the broad knowledge base established during pretraining. Most research on FMs has primarily focused on unstructured unimod...
Why Sustainable AI Matters?
zhlédnutí 77Před měsícem
AI seems to be an ambiguous force that has transformed the global economy, and while AI exists in cyberspace, it has also left a huge physical footprint in the real world. In this video, we will discuss why we should care about sustainable AI and solutions for sustainable AI to ensure that AI benefits both society and the planet. Let's dive deeper. Please join us for Lighthouse Project Season 3...
Beyond Chat: Large Language Models in Industries
zhlédnutí 119Před 2 měsíci
LLMs like ChatGPT, Claude and Gemini are transforming industries by understanding and generating human-like texts. However, most products are still in the "chat" phase and have not significantly increased productivity. The way forward lies in specialized models tailored to specific domains such as healthcare, law, education and finance. Examples of this include Google's Med-PaLM2 for medical qu...
Sustainable AI: Building a Resilient Future with Energy-Efficient Technologies
zhlédnutí 69Před 2 měsíci
Welcome to the Lighthouse Project Season 3! This season, we delve into the critical topic of Sustainable AI. As climate change continues to impact every aspect of our lives, the need for sustainable solutions becomes more urgent. In this video, we explore how AI can help in the fight against climate change and the importance of making AI itself more energy-efficient. From understanding the expo...
Digital Transformation in Agriculture with Hyperspectral Imaging and Artificial Intelligence
zhlédnutí 239Před 3 měsíci
Dr. Phuong Dao, an Assistant Professor of Digital Agriculture at Colorado State University, will discuss his research on how climate change affects plant health in his upcoming talk. He uses advanced technology like hyperspectral remote sensing and artificial intelligence to study plants in croplands, grasslands, and forests. Dr. Dao's work helps to understand how plant stress from environmenta...
An Introduction to CeADAR's European Digital Innovation Hub (EDIH) for AI Programme.
zhlédnutí 117Před 3 měsíci
Laura Plunkett, EDIH Programme Manager presents an introduction to the 100% discounted services available through CeADAR's EDIH for AI Programme. Our services are 100% discounted for eligible enterprises (under 3,000 employees) and Public Sector Organisations. Our services are funded by the European Commission and the Government of Ireland under the Recovery and Resilience Facility. When enterp...
CeADAR Tech Talk - Human-centered ML in Mobile and Wearable Data Ecosystems
zhlédnutí 65Před 5 měsíci
Sofia Yfantidou, a Doctoral Candidate on the verge of completing here PhD at Aristotle University of Thessaloniki and a Marie Skłodowska-Curie fellow at the Innovative Training Network "Real-time Analytics for the Internet of Sports" (RAIS). Explore the convergence of mobile and wearable technologies, machine learning algorithms, and human-centered concerns within the Ubiquitous Computing domai...
AI Roadmap Seminar: CeADAR Ireland's EDIH for AI Programme
zhlédnutí 148Před 7 měsíci
EDIH Programme Manager, Laura Plunkett's talk provided a comprehensive overview of CeADAR’s EDIH for AI programme, available for eligible businesses and public sector organisations.
Pre-Training on Unlabelled System Logs for Malware Detection
zhlédnutí 9KPřed 7 měsíci
Dmitrijs Trizna is a Senior Security Researcher at Microsoft Corporation, and a Doctoral Researcher at SmartLab, University of Genova. He has ten years of experience in commercial cyber-security (both blue and red teaming), published research at industrial security conferences like BlackHat US and DefCon (AI Village), and scientific venues like CAMLIS, ACM CCS AISec. Dmitrijs received security ...
Week-5 Recap and Interactive Q/A: Deep Dive into Cybersecurity | Class-10 Showcase!
zhlédnutí 23Před 7 měsíci
🌐 Join us for an insightful Week-5 recap and a dynamic Q&A session in our Class-10 Showcase! Reflect on key takeaways from sessions 1-9, engage in discussions, and get ready for an interactive experience. 🚀✨ 🔍 Agenda: Recap on Sessions 1-9 Q/A Session Agenda Overview Open Discussion 👉 Who Should Attend: Students, professionals, and enthusiasts eager to master the principles and applications of ...
Exploring Attacks, Defenses, and the Role of AI in Bot Building | Week-5, Class-9 Showcase!
zhlédnutí 24Před 7 měsíci
Exploring Attacks, Defenses, and the Role of AI in Bot Building | Week-5, Class-9 Showcase!
A Dive into Langchain Integration with Neo4J | Week-4, Class-8 Showcase!
zhlédnutí 112Před 7 měsíci
A Dive into Langchain Integration with Neo4J | Week-4, Class-8 Showcase!
AIDT course session 5: Exploring Human-AIDT Interaction and Ethical Implications
zhlédnutí 10Před 7 měsíci
AIDT course session 5: Exploring Human-AIDT Interaction and Ethical Implications
AIDT course session 4: Focus on Marketing, Financial and Social Sciences
zhlédnutí 29Před 8 měsíci
AIDT course session 4: Focus on Marketing, Financial and Social Sciences
AIDT course session 3: Smart Cities Use Case and AI/ML Algorithm Selection
zhlédnutí 111Před 8 měsíci
AIDT course session 3: Smart Cities Use Case and AI/ML Algorithm Selection
AIDT course session 2: Healthcare Use Cases and Objective Setting in AIDT
zhlédnutí 43Před 8 měsíci
AIDT course session 2: Healthcare Use Cases and Objective Setting in AIDT
AIDT course session 1: AIDT&Course Introduction
zhlédnutí 162Před 8 měsíci
AIDT course session 1: AIDT&Course Introduction
Mastering Recommender Engines with Neo4j | Week-3, Class 6 Showcase!
zhlédnutí 46Před 9 měsíci
Mastering Recommender Engines with Neo4j | Week-3, Class 6 Showcase!
Unveiling the World of Recommendation Systems | Week 3, Class 5 Highlights!
zhlédnutí 29Před 9 měsíci
Unveiling the World of Recommendation Systems | Week 3, Class 5 Highlights!
Graph Building Strategies & Neo4j Essentials | Week-1, Class 2 Unveiled!
zhlédnutí 60Před 9 měsíci
Graph Building Strategies & Neo4j Essentials | Week-1, Class 2 Unveiled!
Topological Link Predictions with Neo4j | Week-3, Class 4 Highlights!
zhlédnutí 29Před 9 měsíci
Topological Link Predictions with Neo4j | Week-3, Class 4 Highlights!
Graph Data Exploration & GNN Insights with Neo4j | Week-1, Class 1 Premiere
zhlédnutí 211Před 9 měsíci
Graph Data Exploration & GNN Insights with Neo4j | Week-1, Class 1 Premiere
How to Build Our Own AI Digital Twin from Scratch: Establishment of Objective
zhlédnutí 184Před 10 měsíci
How to Build Our Own AI Digital Twin from Scratch: Establishment of Objective
Graph Data Science for Market Growth: CeADAR LightHouse Project Insights
zhlédnutí 90Před 11 měsíci
Graph Data Science for Market Growth: CeADAR LightHouse Project Insights
Mastering Neo4j: Node Creation, Properties, and Connections Demystified
zhlédnutí 99Před rokem
Mastering Neo4j: Node Creation, Properties, and Connections Demystified
Clark Matthew Anderson Ruth Gonzalez Frank
Love the profile pics 😃
how to create meta data??
Hello, i tried to send you an email but it appears that it’s wrong address.
useless
讲的太好了,PPT也很精彩,能分享一下PPT吗
Good and fast introduction to SDV. Only the sound quality makes it hard to understand sometimes.
I am pleased to share with Professionals and Companies the most advanced technological tool in existence: the Digital Twin that I developed in 1981 under the name of Virtual Instruments. czcams.com/video/eadaQiL_AK0/video.html czcams.com/video/fXlp4QLdWQs/video.html Export the Power Apps, Copilot, Chat GPT, Revit, Plant 3D, Civil 3D, Inventor, Engi file of the Building or Refinery to Excel, prepare Budget 1 and export it to COBRA. Prepare Budget 2 and export it to Microsoft Project. Solve the problems of Overallocated Resources, Planning Problems, prepare the Budget 3 with which the construction of the Building or the Refinery is going to be quoted.
Thank you for this, sir.
can you pls point link of notebook?
github.com/braaannigan/data-analysis-with-polars/tree/main github.com/braaannigan/data-analysis-with-polars/tree/main/notebooks/ml
😑 P R O M O S M
How can I add node attributes to nodes? Kindly Help!
czcams.com/video/N8XafdMWeDo/video.html&ab_channel=CeADARIreland
Impressive
Nice Explanation, Thank You!
You're welcome!
Well explained!
Thanks for watching the video and making your comment.
Congratulations!
Thank you!
Very informative!!
Glad it was helpful!
Great 👍and very insightful presention.
Glad you liked it!
Hello. Congratulations for the video, it was what I was looking for. Could you provide the notebook with the code please?
really informative !!
Glad you liked it
Amazing tut
Good Day. Do you have an email address? How can I write to you?
Told everyone about you! Get the results you deserve > P r o m o s m!!
Thanks for your support.
Great presentation. It’s understandable. Can you make a video on Question Answering?
Yes, soon
can you provide the colab link where you have implemented the AL pipeline please
Hello there, of course. If you join the course page on CeADAR community you will have access to all the course resources. You can join here: community.ceadar.ie/share/izdcvO9AOuyNfHwE?
@@CeADARIreland I joined the course but unable to find out where is the resources
Hello , any one have any idea about the working principle behind PAR model and the evaluation metrics of time series data
Hi Sir could u make a tutorial of how to implement semi supervised learning
Well presented, thank you for that
Glad it was helpful!
You should speak much louder
Sure, thanks for your feedback and sorry for the inconvenience caused.
what I want to do is actually synthetize data to rebalance my original TIME SERIES data ..; The thing is that recreating the same thing as my original data which means the data is still rebalanced ... any idea on how doing this ?
your voice is extremely low
Sorry about that, we will consider your comment in building future videos.
𝐩яⓞ𝓂𝓞Ş𝐦 🤭
where do I get this tool "XPlainIT" from ? and also related code?
Does it maintain correlations between columns? From source data to the synthetic?
Apply some similarity metrices to evaluate the synthetic data. like pearson correlation or DWP.
Ya, I don't find correlations.
Do you have tutorial on generating synthetic data from Metamodels?
You can generate it with Generative models.
where is the notebook?
Amazing
Trying it right now
Hi How are you? thank you for presenting this amazing XAI work, please can you help me. I would like you to be a guide to me to build an explainable AI (LRP) model to explain LSTM prediction. I'm looking for what are tools that I will use. my email (abubakrhassanahmed@gmail.com) thanks
Bem massa seu video! Continue postando os mesmos! Lhe desejo muita sorte com o teu canal! Obs.: Não gostaria de lhe incomodar, porem se houver um tempo para ir no meu canal e dizer o que achou sobre meus vídeos (#gugapilar), agradeceria pra caramba! Um abraço e até mais! 🙏🏼💪🏻
Thank you so much for this clear presentation. I m Omer from Dicle University (PhD student) Türkiye. I will be happy if you share your e-mail address. I need to be pushed by an expert. Best regards...
Thanks. The presentation was very useful and informative and I learned a lot.
Very Nice and useful presentation. Thanks
Hello!! I found very interesting your project and i want to do the same thing but im not relly shure how to do it!! Can you tell me if you are using apache kafka or apache flume to ingest the video to apache storm and if you can ingest the video to some database and which will you chose?? thanks!!