{"$schema": "https://c3voc.de/schedule/schema.json", "generator": {"name": "pretalx", "version": "2025.2.2"}, "schedule": {"url": "https://papers.synesthesia.it/ai-heroes-2023/schedule/", "version": "1.9", "base_url": "https://papers.synesthesia.it", "conference": {"acronym": "ai-heroes-2023", "title": "AI Heroes", "start": "2023-12-01", "end": "2023-12-01", "daysCount": 1, "timeslot_duration": "00:05", "time_zone_name": "Europe/Rome", "colors": {"primary": "#9B1449"}, "rooms": [{"name": "Tech Stage", "slug": "4-tech-stage", "guid": "06511274-8d25-5987-a582-8895869ab61b", "description": null, "capacity": 150}, {"name": "Main stage", "slug": "3-main-stage", "guid": "1c384b6e-98bd-51a9-a073-0f6da8f85881", "description": null, "capacity": 300}], "tracks": [], "days": [{"index": 1, "date": "2023-12-01", "day_start": "2023-12-01T04:00:00+01:00", "day_end": "2023-12-02T03:59:00+01:00", "rooms": {"Main stage": [{"guid": "703f6407-80d4-5cec-9beb-a450c7b6fe7f", "code": "CCDLTF", "id": 65, "logo": null, "date": "2023-12-01T09:20:00+01:00", "start": "09:20", "duration": "00:10", "room": "Main stage", "slug": "ai-heroes-2023-65-being-a-technologist-in-the-ai-era", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/CCDLTF/", "title": "Being a Technologist in the AI era", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "Artificial intelligence is a pervasive technology that is bringing a sort of revolution in all engineering fields. The Politecnico di Torino, the oldest Italian (poly)technical university, after following for about 160 years of a traditional education and research approach, fully accepts to face this dramatic challenge. This is accomplished by changing deeply the way technologists are educated and innovation is brought to light, so as to keep humans is their fundamental role of decision-makers as long as possible. The transition of engineers from nerds to creative humanists is one of the consequences.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "H9GPYF", "name": "Matteo Maria Terzuolo", "avatar": "https://papers.synesthesia.it/media/avatars/fototessera_FZ9SQgG.jpg", "biography": "Professore Ordinario\r\nDipartimento Scienza Applicata e Tecnologia (DISAT)\r\nRettore\r\nComponente Delegazione Parte Datoriale\r\nPresidente Consiglio di Amministrazione\r\nPresidente Senato Accademico", "public_name": "Matteo Maria Terzuolo", "guid": "487ad42f-8d36-5d7a-892a-7fa83db671a5", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/H9GPYF/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/CCDLTF/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/CCDLTF/", "attachments": []}, {"guid": "6ce4b09f-5354-5bbd-9c36-63aabeedf334", "code": "SYDZGX", "id": 42, "logo": null, "date": "2023-12-01T09:50:00+01:00", "start": "09:50", "duration": "00:50", "room": "Main stage", "slug": "ai-heroes-2023-42-retrieval-augmented-generation-for-talking-with-your-private-data-using-llm", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/SYDZGX/", "title": "Retrieval-Augmented Generation for talking with your private data using LLM", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "In this presentation, we will introduce a recent proposal in AI that is called Retrieval-Augmented Generation (RAG).\r\nThis technique is able to leverage the natural language capabilities of Large Language Model (LLM) such as ChatGPT in order to query a private database. You can literally ask question about your data, without the need to fine-tune an LLM with all your private data. We will show also an example of RAG using Langchain, an open source framework for writing applications for LLM. We will execute a demo with a few lines of Python to chat with private data using a vector database like Chroma or Elasticsearch.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "3CBNUU", "name": "Enrico Zimuel", "avatar": "https://papers.synesthesia.it/media/avatars/3CBNUU_zBA33ux.webp", "biography": "Enrico is a Tech Lead and Principal Software Engineer at Elastic, a Silicon Valley company. He it also an Adjunct Professor of computer science at the University of Turin and teacher of programming at ITS-ICT Piemonte. He has been a programmer since 1996 and has worked on several open source projects, including Zend Framework with more than 500 million downloads. TEDx and International speaker at more than 120 conferences. He recently gave a workshop about LLM and ChatGPT at ReactJsDay 2023 and a talk at PHPDay 2023 on how to integrate ChatGPT with Elasticsearch to solve queries expressed in natural language. More information can be found at zimuel.it", "public_name": "Enrico Zimuel", "guid": "c794048f-d86c-5f97-92ae-f12a839bd7db", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/3CBNUU/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/SYDZGX/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/SYDZGX/", "attachments": []}, {"guid": "36a983cf-231f-530b-97ef-6e84134b08f6", "code": "C7E8BH", "id": 30, "logo": null, "date": "2023-12-01T10:40:00+01:00", "start": "10:40", "duration": "00:30", "room": "Main stage", "slug": "ai-heroes-2023-30-custom-model-training-deployment-on-google-cloud-using-vertex-ai-in-go", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/C7E8BH/", "title": "Custom model training & deployment on Google Cloud using Vertex AI in Go", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "In the era of AutoML (Automated Machine Learning) manually defining a model, training it & deploying it may seem an outdated approach. However, having full control of the model from its definition to its deployment on the cloud allows a fine-grained, production-oriented, and less expensive approach. \r\n\r\nInstead of letting the AutoML engine decide everything about the model and the hardware to use, we can do it by ourselves. This approach allows the experienced machine learning practitioner to have full control of the pipeline from the model definition to the hardware used for training and deploying.\r\n\r\nIn this talk, we'll see how to use TensorFlow Decision Forest (TF-DF) to define a simple regression tree, create a custom Docker image for its training, and train it using Vertex AI, the Google Cloud Machine Learning platform.\r\nThe trained model will then be deployed on Google Cloud and it will be ready to accept prediction requests. Eventually, the definition and usage of a client is shown.\r\n\r\nInstead of doing all the steps using the web interface, we'll do almost everything using the not-so-known Go client for Vertex AI.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "PA78ZK", "name": "Paolo Galeone, Tech Lead, Zuru Tech", "avatar": "https://papers.synesthesia.it/media/avatars/IMG_20220410_152752_hdr_NxheZu4_APLFfZt.jpg", "biography": "Technical Leader at Zuru Tech and Google Developer Expert in Machine Learning, Paolo Galeone is an experienced computer engineer. Machine Learning with TensorFlow, Go, and C++ development with Unreal Engine are his main areas of expertise. Technical writer for passion, he blogs quite frequently on his blog about the intersection of Unreal Engine, Linux, and Machine Learning. He firmly believes that multidisciplinary and the intersections among different and distant technologies make serendipity possible.", "public_name": "Paolo Galeone, Tech Lead, Zuru Tech", "guid": "723ea897-6b75-5a0f-9204-1e2564a97a5c", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/PA78ZK/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/C7E8BH/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/C7E8BH/", "attachments": []}, {"guid": "f3e5320f-7916-56c2-8d17-7a00bee12959", "code": "W33MPB", "id": 40, "logo": null, "date": "2023-12-01T11:30:00+01:00", "start": "11:30", "duration": "00:40", "room": "Main stage", "slug": "ai-heroes-2023-40-integrate-llm-in-your-applications-101", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/W33MPB/", "title": "Integrate LLM in your applications 101", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "In the current technological landscape, Large Language Models (LLMs) have taken center stage, offering a potent way to infuse intelligence into applications. This presentation delves into the fundamentals and strategies for seamlessly integrating LLMs into your existing applications, enabling them to tap into enhanced capabilities.\r\n\r\nDuring this talk we will explore, in a very practical way, the essential principles and techniques for integrating LLMs into your applications, regardless of programming language or specific libraries.\r\n\r\nBy taking a technology-agnostic approach, we aim to provide a comprehensive understanding of the core concepts and the boundaries.\r\n\r\nIn this talk we'll integrate an LLM with the data of a local application understanding all the steps involved.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "9JTGCN", "name": "Marco De Nittis", "avatar": "https://papers.synesthesia.it/media/avatars/avatar_VfotCAp.jpg", "biography": "Freelance, technology enthusiast and software development expert, fond of all the aspects of the software development process, from architecture and devops to actual coding.\r\n\r\nMarco has worked as a consultant and trainer in both large corporations and smaller enterprises, contributing to a wide variety of projects.\r\n\r\nPragmatic, eclectic and curious, advocate of the Software Craftsmanship, he is lucky to have turned one of his passions into a profession.", "public_name": "Marco De Nittis", "guid": "0ac7edc6-8d64-5719-88ff-dc84d74cc00f", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/9JTGCN/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/W33MPB/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/W33MPB/", "attachments": []}, {"guid": "fef89b34-5c7a-58aa-9b99-5858cb9f0113", "code": "M9TL9G", "id": 22, "logo": null, "date": "2023-12-01T12:10:00+01:00", "start": "12:10", "duration": "00:40", "room": "Main stage", "slug": "ai-heroes-2023-22-discovering-capella-iq-ai-boosted-dbaas", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/M9TL9G/", "title": "Discovering Capella iQ: AI-Boosted DBaaS", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "Today's tech world is rapidly evolving. Merging Artificial Intelligence (AI) with cloud computing has turbocharged data management and decision-making. Couchbase, a database leader, brings you Capella iQ\u2014a groundbreaking AI cloud service transforming how developers use cloud data.\r\nCapella iQ is a game-changer, using AI to boost performance and efficiency in cloud applications. It's like a smart assistant helping developers optimise apps by leveraging data effectively, automating insights, and enhancing overall performance.\r\nJoin us as we unravel the basics and the vast potential of Capella iQ. Learn how it catalyses AI-driven cloud services, simplifying data interpretation for developers.\r\nEmbark on this journey to comprehend how Capella iQ, with its AI capabilities, reshapes cloud services\u2014ushering in a smarter, more efficient era of data management and utilisation.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "B3ECRS", "name": "Marco Bevilacqua, Associate Solutions Engineer, Couchbase", "avatar": "https://papers.synesthesia.it/media/avatars/final_square_profile_ZddN7Mk.jpg", "biography": "Over the past 3 years, Marco has acquired a deep understanding of both technical products and the sales process. His background in development has equipped him with the expertise to communicate complex technical concepts to non-technical stakeholders effectively.", "public_name": "Marco Bevilacqua, Associate Solutions Engineer, Couchbase", "guid": "58afb0d8-6756-5fd3-b6be-a5141931a791", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/B3ECRS/"}, {"code": "3CK7YT", "name": "Elio Salvatore", "avatar": "https://papers.synesthesia.it/media/avatars/imageelio_ipTqHVG.jpeg", "biography": "Elio is a seasoned IT professional with over 19 years of experience. He's currently a Senior Solutions Engineer at Couchbase, where he's responsible for driving and managing the technical side of sales engagements with prospects and customers.\r\nBefore joining Couchbase, Elio worked as a Solutions Architect in various companies within the financial sector, where he had the opportunity to help solve many complex technical challenges.", "public_name": "Elio Salvatore", "guid": "5403b4f1-7d0c-5964-a30a-a7ffad5a8b5e", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/3CK7YT/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/M9TL9G/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/M9TL9G/", "attachments": []}, {"guid": "25d9fe1a-163c-5666-be83-9752a7db43a0", "code": "VTWDXZ", "id": 48, "logo": null, "date": "2023-12-01T12:50:00+01:00", "start": "12:50", "duration": "00:40", "room": "Main stage", "slug": "ai-heroes-2023-48-ai-in-sports-from-deep-learning-to-generative-ai", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VTWDXZ/", "title": "AI in Sports: from deep learning to generative AI", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "Explore the world of AI applied to sports, where we showcase how AI-based solutions are revolutionising the viewing experience, fan engagement, coaching & referee support, and operations behind the scenes. Dive with us into the latest advancements in AI technologies such as deep learning, multimedia analysis, generative AI and information retrieval: we will explore the cutting-edge innovations that are shaping the next generation of sports broadcasting and entertainment.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "HNMC3X", "name": "Gianni Rosa Gallina", "avatar": "https://papers.synesthesia.it/media/avatars/Profile_MVP_400x400_2023_Ut5G3kt.jpg", "biography": "Gianni is a Microsoft MVP for the AI category, former Windows Embedded/Development since 2011, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Currently he is R&D Technical Lead in Deltatre's Innovation Lab, designing and prototyping next generation solutions for sport related experiences and services, from apps, tools and end-to-end cloud architectures. Besides that, he's an active member of the local community \u201cTorino Technologies Group\u201d (TTG), Pluralsight online courses author, writes articles on his blog and he's speaker in national and international tech conferences and events.", "public_name": "Gianni Rosa Gallina", "guid": "2885fc75-61e8-5c53-bde4-b7059c45b048", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/HNMC3X/"}, {"code": "VA9D3E", "name": "Luca Legora, R&D Technical Project Manager, Deltatre", "avatar": "https://papers.synesthesia.it/media/avatars/_MG_8315_3TD0enm.jpeg", "biography": "In his role as an *R&D Technical Project Manager* at *Deltatre*, Luca contributes to the *Innovation Lab*, focusing on pioneering digital, OTT, officiating, and broadcasting solutions for the sports industry. In the last 10 years, his computer engineering background and pivotal contributions have supported technologies used by billions across major sporting events globally.\r\n\r\nA certified Agile aficionado, Luca navigates the fast-paced evolution of sports tech with a keen focus on teamwork and collective achievement. His dual passion as a volleyball coach mirrors his professional ethos, underscoring his leadership both on and off the court.\r\n\r\nFueling Luca\u2019s drive is the inventive spirit of the game\u2014the constant quest for the next innovation and the exhilaration of bringing tech dreams to life every single day.", "public_name": "Luca Legora, R&D Technical Project Manager, Deltatre", "guid": "cb7b0620-d35b-593f-8c08-01465f6e65f8", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/VA9D3E/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VTWDXZ/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VTWDXZ/", "attachments": []}, {"guid": "babf8c2d-8d76-5184-bd38-68abe34ed37e", "code": "JDX7RV", "id": 46, "logo": null, "date": "2023-12-01T14:30:00+01:00", "start": "14:30", "duration": "00:45", "room": "Main stage", "slug": "ai-heroes-2023-46-be-my-copilot-how-to-pair-program-with-ai", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/JDX7RV/", "title": "Be my copilot - how to pair program with AI", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "How can we use AI as a superpower without affecting our abilities for logic, social interaction, and collaboration?\r\nWe will start with this question, which arose in each of us developers the moment AI was no longer a service, but a tool, frighteningly close to simulating our capabilities.\r\n\r\nIn this talk we will talk about teamwork and generative AI, and try to put them together responsibly. We will look for an approach and drop it within the scenario of a team made up of humans.\r\n\r\nWe will list some tools available for developers and try to draw a set of them that can help and speed up work, without changing the way we work, trying to understand how we can use these tools as a virtual pair programmer and not become dependent on them, without losing control.\r\n\r\nAt least for the time being.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "JZ9VQX", "name": "Davide Mantovani, Web/AI Platform Leader, Synesthesia", "avatar": "https://papers.synesthesia.it/media/avatars/davem_n1xo1dZ.jpeg", "biography": "Davide is an engineer with work experience in various IT fields: he worked around the world on medical research for a few years and now holds the position of Web/AI Platform Leader in Synesthesia as part of the CTO group. He loves creating teams and working with them, communicating and listening. He also has experience as a teacher and speaker. He is (of course) a coffee addict, a piano player and a theatre director.", "public_name": "Davide Mantovani, Web/AI Platform Leader, Synesthesia", "guid": "668c6c8f-cfea-55cf-81e6-9c51be223bd2", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/JZ9VQX/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/JDX7RV/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/JDX7RV/", "attachments": []}, {"guid": "3112e8cc-e1ab-5d0e-918f-eef2111240ff", "code": "UTBLT9", "id": 26, "logo": null, "date": "2023-12-01T15:15:00+01:00", "start": "15:15", "duration": "00:45", "room": "Main stage", "slug": "ai-heroes-2023-26-making-ai-explainable-together-with-federated-learning", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/UTBLT9/", "title": "Making AI explainable together with Federated Learning", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "The talk will present an activity called FED-XAI, which is the approach of combining Federated Learning (FL) of eXplainable Artificial Intelligence (AI) models (XAI), in order to improve user experience of the offered communication services by helping end-users trust that in-network AI performs accurate decisions.\r\nDario will present the FEDXAI demo prototype developed in the framework of the Hexa-X project in collaboration with other partners, and using also \u00a7Intel OpenFL framework. Finally, the Intel vision for the future AI-native and cloud-native 6G systems will be provided.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "BLXN3U", "name": "Dario Sabella, Senior Manager Standards and Research, Intel Corporation", "avatar": "https://papers.synesthesia.it/media/avatars/DARIO_IEEE_picture_Ans1etE.jpg", "biography": "Dario works with INTEL as Senior Manager Standards and Research, driving new technologies and edge cloud innovation for advanced systems, involved in ecosystem engagement and coordinating internal alignment on edge computing across standards and industry. In 2021 he was elected as Chairman of ETSI MEC (Multi-access Edge Computing), while from 2019 he was serving as vice-chairman, previously Lead of Industry Groups, and from 2015 vice-chair of IEG WG. Since 2017 he served also as delegate of 5GAA (5G Automotive Association) and Lead of gMEC4AUTO. Before 2017 he worked in TIM (Telecom Italia), as responsible in various research, experimental and operational activities on OFDMA technologies (LTE, 5G). He is Innovation Manager at 6G Flagship EU project Hexa-X. Author of several publications (80+) and patents (50+) in the field of wireless communications, energy efficiency and edge computing, Dario is IEEE senior member and has also organised several workshops and conferences. Since 2022 he is also Senior Associate Editor in the Editorial Board of IEEE Consumer Electronics Magazine.", "public_name": "Dario Sabella, Senior Manager Standards and Research, Intel Corporation", "guid": "ae3534de-6c75-5621-a44a-5f24da691a61", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/BLXN3U/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/UTBLT9/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/UTBLT9/", "attachments": []}, {"guid": "2d0f3cc3-5e06-5a58-b32c-9eeb6badd90f", "code": "QARZ78", "id": 62, "logo": null, "date": "2023-12-01T16:30:00+01:00", "start": "16:30", "duration": "00:45", "room": "Main stage", "slug": "ai-heroes-2023-62-open-source-large-language-models-an-overview", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/QARZ78/", "title": "Open Source Large Language Models: An Overview", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "In the rapidly evolving domain of artificial intelligence, open-source Large Language Models (LLMs) are playing a pivotal role. This talk aims to examine the significance of open-source models in democratising AI technology and fostering innovation. We will explore the key players in the open-source LLM landscape, highlighting how these models vary in terms of architecture, capabilities, and applications. Furthermore, practical insights on how to leverage these models for various use cases will be provided. Attendees will gain an understanding of the potential outcomes and transformative impacts that can be achieved through the effective utilisation of open-source LLMs.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "VGQNWB", "name": "Lorenzo Verna", "avatar": "https://papers.synesthesia.it/media/avatars/Lorenzo_Verna_ing_colori_resize_S7A3oRH.jpg", "biography": "I love to build and invest in the area of AI products and solutions.\r\nI help enterprises implement and adopt AI.\r\n\r\nI am an accomplished technology leader, startup founder, and AI expert with a passion for advancing the capabilities of technology through AI and machine learning. Over the course of my career, I've led the ideation and development of unique and innovative technology solutions, built high-performing R&D teams, and managed enterprise-level clients and investments.\r\n\r\nWith a particular focus on AI-powered products and advanced analytics, my expertise lies in harnessing the power of large language models and machine learning algorithms. My experience spans strategizing and implementing AI capabilities into digital products, building MVPs, and defining company-wide tech strategies.", "public_name": "Lorenzo Verna", "guid": "0e162eb2-dbad-55f6-83be-7475e56bb96c", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/VGQNWB/"}, {"code": "DNEAV8", "name": "Nicol\u00f2 Tamagnone, Senior NLP Engineer, Data Friendly Space", "avatar": "https://papers.synesthesia.it/media/avatars/WhatsApp_Image_2023-10-18_at_14.51.50_ZljKExR.jpeg", "biography": "I'm a data scientist and NLP researcher with a background in complex systems physics. Currently I work as NLP engineer at Data Friendly Space, an NGO active in the humanitarian and development sector, developing ML/NLP solutions for crisis response and secondary data analysis.", "public_name": "Nicol\u00f2 Tamagnone, Senior NLP Engineer, Data Friendly Space", "guid": "0e938969-ad74-5834-ac15-8e2132c97cb1", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/DNEAV8/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/QARZ78/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/QARZ78/", "attachments": []}, {"guid": "5742a3d5-fdd2-5efc-ae7f-b30c563ad0ab", "code": "GSN9AP", "id": 59, "logo": null, "date": "2023-12-01T17:15:00+01:00", "start": "17:15", "duration": "00:45", "room": "Main stage", "slug": "ai-heroes-2023-59-integrating-conversational-agents-with-scalable-cloud-serverless-architecture", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/GSN9AP/", "title": "Integrating Conversational Agents with Scalable Cloud Serverless Architecture", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "The session elucidates the methodology to develop conversational agents by using an internal knowledge base, with a primary focus on the following key facets:\r\n- Designing the solution to align with the foundational principles of AI engineering, concurrently harnessing the conversational proficiencies of the Language Model (LLM).\r\n- Crafting the solution within the framework of a serverless cloud infrastructure.\r\n- Systematically engineering the solution to ensure scalability within a production environment.\r\n\r\nIn particular, the session is meant to provide the perspective of BIP xTech on creating AI-based assets such that they are sustainable and effective in production with a massive amount of users.\r\n\r\nFurthermore, we demonstrate how to integrate the powerful LLMs from OpenAI and Google into an efficient architecture capable of achieving scalability, robustness, and cost-effectiveness while simultaneously matching the expectations of end users with a user-friendly experience.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "ZGNN77", "name": "Andrea Cola, AI Engineer, BIP xTech", "avatar": "https://papers.synesthesia.it/media/avatars/10855446_chne4kF.jpeg", "biography": "Andrea, 28 years old, studied at the Polytechnic University of Milan, specialising in software engineering, artificial intelligence, and data science. He conducted his master's thesis at BIP xTech in the field of AI-based Data Quality, contributing to the development of a digital asset stemming from the thesis.\r\n\r\nAndrea transitioned to a full-time role at BIP xTech as a data scientist for 2 years and later played a key role in establishing the new AI engineering practice, taking on the position of Expert AI Engineer. He focuses on digital assets based on Artificial Intelligence and Generative AI. Additionally, Andrea has expertise in MLOps platforms on Google Cloud, AWS, and Azure, with in-depth experience in NLP and Vision tasks.\r\n\r\nLately, he has been dedicated to studying Generative AI on the Edge of devices.", "public_name": "Andrea Cola, AI Engineer, BIP xTech", "guid": "6bcfd832-4774-5383-ad92-03f0462e89b1", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/ZGNN77/"}, {"code": "8H39Y7", "name": "Sara Gemelli", "avatar": "https://papers.synesthesia.it/media/avatars/WhatsApp_Image_2021-03-07_at_21.42.56_BLoI53X.jpeg", "biography": "Sara is an AI Engineer graduated as a Mathematical Engineering at Politecnico di Milano, with a solid background in statistics, machine learning and cognitive applications. She has been working in BIP xTech for six years started as a Data Scientist and then covering a key role in the foundation of the AI Engineering practice.", "public_name": "Sara Gemelli", "guid": "ff88bb3d-2b0e-5be1-91c2-d0485a80abf1", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/8H39Y7/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/GSN9AP/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/GSN9AP/", "attachments": []}], "Tech Stage": [{"guid": "288bba33-343e-5c23-a289-67d4f904a6a5", "code": "VJLHHZ", "id": 56, "logo": null, "date": "2023-12-01T11:30:00+01:00", "start": "11:30", "duration": "00:40", "room": "Tech Stage", "slug": "ai-heroes-2023-56-mpai-data-coding-standards-for-ai", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VJLHHZ/", "title": "MPAI - data coding standards for AI", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "Artificial Intelligence (AI) offers more efficient ways to implement processes formerly carried out with Data Processing (DP). However, AI has often been used in an ad hoc way. Machines use AI to perform extremely complex functions, but the value of the result depends on the training data sets, which are typically known only to the implementer. In information services, this data issue may have potentially devastating social impacts due to expected bias in the training, but in other applications, such as in autonomous vehicles, the issue is the inability to trace processes leading to a particular decision.\r\nData Processing standards have played a major role in promoting use of digital technologies for products, services, and applications. However, few examples are known of AI standards with an approach comparable to that of DP standards. MPAI (Moving Picture, Audio, and Data Coding by Artificial Intelligence) has taken on the mission of developing AI-based data coding standards. The group has already developed several Technical Specifications using AI Modules (AIMs) that attempt to break monolithic applications into components with known functions and interfaces and implementable using AI or DP technologies: connected autonomous vehicles, audio enhancement, prediction of company performance, multimodal human-machine conversation, metaverse architecture, neural network watermarking], and portable avatars.\r\nBy incorporating these modules (AIMs), applications can be implemented as AI Workflows (AIWs), themselves with known functions and external interfaces, composed of interconnected AIMs.\r\nMPAI Technical Specifications offer the ability to implement AI applications whose operation is more traceable and explainable and the ability to create a competitive market of components \u2013 AIMs \u2013 with standardised functions and interfaces and potentially providing competitive performance. As an organisation, MPAI offer a rigorous though fast route to standardisation: less than a year for a technology standard.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "XLBMPA", "name": "Leonardo Chiariglione, President and Chairman of the Board, MPAI", "avatar": "https://papers.synesthesia.it/media/avatars/Leonardo_IET_rwBp5vY.jpg", "biography": "Leonardo obtained his MS degree from the Turin Polytechnic and his Ph. D. degree from the University of Tokyo. \r\nHe has been at the forefront of a range of initiatives that have helped shape media technology and business as we know them today. Among these is the Moving Pictures Experts Group (MPEG) standards committee which he founded and chaired for 32 years. \r\nIn September 2020 he proposed and launched MPAI - Moving Picture, Audio and Data Coding by Artificial Intelligence, a non-profit organisation developing AI-enabled data coding standards while bridging the gap between standards and their practical use. In just three years, MPAI has produced 9 technical specifications ranging from audio enhancement to human-machine conversation, company performance prediction, AI app execution. Three new projects are running.\r\nDr Chiariglione is the recipient of several awards: among these are the IBC John Tucker Award, the Eduard-Rhein Foundation Award, the IEEE Masaru Ibuka Consumer Electronics Award, and the Kilby Foundation Award.\r\nFrom 2004 to 2020 he was the CEO of CEDEO.net, a company providing advanced technologies, solutions, and services and advising major multinationals on digital media matters. Currently he is the CEDEO.net President.\r\nAdditional information at https://leonardo.chiariglione.org/", "public_name": "Leonardo Chiariglione, President and Chairman of the Board, MPAI", "guid": "ab913dde-a10c-5e7a-9683-cc72fe999269", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/XLBMPA/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VJLHHZ/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/VJLHHZ/", "attachments": []}, {"guid": "c6a8c194-94c1-50ad-b5e9-de85cbbde929", "code": "XVUFEV", "id": 41, "logo": null, "date": "2023-12-01T12:10:00+01:00", "start": "12:10", "duration": "00:40", "room": "Tech Stage", "slug": "ai-heroes-2023-41-multimodal-large-language-models-can-generate-images", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/XVUFEV/", "title": "Multimodal Large Language Models can Generate Images", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "Multimodal Large Language Models (MLLMs) are becoming a buzzing term in the machine learning community, thanks to their ability to seamleassy handle a huge variety of input modalities. In essence, these models leverage the knowledge power of Large Language Models (LLMs) to bridge text with images/video, speech etc. This talk aims to unfold the vibrant world of MLLMs, showcasing how they're revolutionising the field of multimodal deep learning.\r\nThe spotlight of our discourse will be the journey of MLLMs from multimodal understanding to multimodal generative capabilities. We'll delve into the recently published the Joint Autoregressive Mixture (JAM) framework. This framework marries text and image generation models in a unique model, bringing to the table a unified architecture that excels in high quality interleaved mixed-modal generation. Through a blend of theory, real-world applications, and a sneak peek into the future, this talk is aimed to explore how the world of machine learning is being reshaped with the advent of MLLMs and what this means for the broader pursuit of Artificial General Intelligence.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "UHMLRG", "name": "Emanuele Aiello, PhD Researcher, Politecnico di Torino", "avatar": "https://papers.synesthesia.it/media/avatars/foto_id_aiello_tMcjXXy.jpeg", "biography": "Emanuele is a PhD researcher specialising in Multimodal Deep Learning and Generative Models. His work has been published at top-notch conferences like NeurIPS.\r\nRecently, Emanuele expanded his horizons with a Research Internship at Meta AI in Menlo Park. This experience sharpened his practical skills and offered a closer look at real-world AI challenges.\r\nWith a strong academic background and a dash of industry experience, Emanuele is on a quest to push the boundaries of the machine learning frontier.", "public_name": "Emanuele Aiello, PhD Researcher, Politecnico di Torino", "guid": "0a1f766c-fd42-5842-b096-bd6e8439344c", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/UHMLRG/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/XVUFEV/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/XVUFEV/", "attachments": [{"title": "Preprint of the paper presented in the talk", "url": "/media/ai-heroes-2023/submissions/XVUFEV/resources/jam_paper_0tikOaU.pdf", "type": "related"}]}, {"guid": "d061dc69-d9de-5178-905d-d512db76a77f", "code": "7XBKFE", "id": 43, "logo": null, "date": "2023-12-01T12:50:00+01:00", "start": "12:50", "duration": "00:40", "room": "Tech Stage", "slug": "ai-heroes-2023-43-enhancing-ai-robustness-with-high-quality-synthetic-data", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/7XBKFE/", "title": "Enhancing AI Robustness with High-Quality Synthetic Data", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "In this presentation, we will explore synthetic data's role in improving the performance of machine learning algorithms. We begin with a primer on synthetic data generation, outlining methodologies for generating high-fidelity datasets. The discussion will then pivot to the creation of synthetic data to bolster model accuracy, robustness, and to address critical concerns such as bias and fairness. Concluding with a discussion on its application, attendees will leave with a practical understanding of the benefits, hurdles, and best practices associated with the deployment of synthetic data in real-world scenarios.", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "ETNRB8", "name": "Luca Gilli", "avatar": "https://papers.synesthesia.it/media/avatars/ETNRB8_a72R41O.jpg", "biography": "Luca is the mastermind and chief architect of Clearbox\u2019s AI technology. He holds a PhD in computational mathematics from the Delft University of Technology. He worked as a research consultant and software development lead for a consultancy firm for over 5 years in the Netherlands, serving clients in the safe critical industries in the United States, South Africa and Germany.\r\nLuca's expertise lie in developing ML and DL algorithms for predictive analytics and process optimisation of complex business processes. He has also published several high-impact research papers on uncertainty quantification and sensitivity analysis in simulation models and has spoken at international conferences in the US, Japan, and Brazil.", "public_name": "Luca Gilli", "guid": "328a6847-fbbf-58d9-ae67-cd80d2b98f7c", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/ETNRB8/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/7XBKFE/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/7XBKFE/", "attachments": []}, {"guid": "ec87ef30-02d7-54f5-a748-0f17be827f92", "code": "BNPSHE", "id": 61, "logo": null, "date": "2023-12-01T14:30:00+01:00", "start": "14:30", "duration": "01:30", "room": "Tech Stage", "slug": "ai-heroes-2023-61-workshop-in-workshop-room-generative-ai-hands-on-from-popular-services-to-diy-solutions", "url": "https://papers.synesthesia.it/ai-heroes-2023/talk/BNPSHE/", "title": "WORKSHOP[in workshop room] - Generative AI Hands-On: from popular services to DIY solutions", "subtitle": "", "track": null, "type": "Talk", "language": "en", "abstract": "We will explore the state-of-the-art of generative AI for various use cases: after providing an overview of the most renowned services by OpenAI, Microsoft, Midjourney, ElevenLabs and other providers, we will present potential approaches for implementing similar services with open-source tools, frameworks, and models, while leveraging on-premise and/or cloud computational power.\r\n\r\n**MAX 25 participants**", "description": null, "recording_license": "", "do_not_record": false, "persons": [{"code": "HNMC3X", "name": "Gianni Rosa Gallina", "avatar": "https://papers.synesthesia.it/media/avatars/Profile_MVP_400x400_2023_Ut5G3kt.jpg", "biography": "Gianni is a Microsoft MVP for the AI category, former Windows Embedded/Development since 2011, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Currently he is R&D Technical Lead in Deltatre's Innovation Lab, designing and prototyping next generation solutions for sport related experiences and services, from apps, tools and end-to-end cloud architectures. Besides that, he's an active member of the local community \u201cTorino Technologies Group\u201d (TTG), Pluralsight online courses author, writes articles on his blog and he's speaker in national and international tech conferences and events.", "public_name": "Gianni Rosa Gallina", "guid": "2885fc75-61e8-5c53-bde4-b7059c45b048", "url": "https://papers.synesthesia.it/ai-heroes-2023/speaker/HNMC3X/"}], "links": [], "feedback_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/BNPSHE/feedback/", "origin_url": "https://papers.synesthesia.it/ai-heroes-2023/talk/BNPSHE/", "attachments": []}]}}]}}}