Udruženje studenata elektrotehnike Evrope (EESTEC), Lokalni komitet Sarajevo je proteklih dana bilo domaćin studentima iz 11 različitih evropskih gradova, koji su od 31. maja do 3. juna boravili u našem gradu u svrhu učešća na Finalnoj rundi EESTech Challenge 2024! Studenti iz Aachena, Trsta, Ksantija, Ciriha, Skoplja, Sankt Petersburga, Eskišehira, Istanbula, Niša, Novog Sada, Madrida i Patrasa okupili su se kako bi se takmičili u ovom prestižnom međunarodnom takmičenju.
EESTech Challenge je međunarodno takmičenje studenata elektrotehnike i računarstva, koje svake godine ima novu temu. Takmičenje se odvija kroz lokalne runde i finalnu rundu, gdje pobjednici lokalnih hakatona dolaze na finalnu rundu kako bi se takmičili za titulu najboljeg tima. Ovogodišnja tema bila je “AI Applications”, a Julian Eder i Eric Schulz iz Infineon Technologies bili su zaduženi za kreiranje izazova. Tema je bila “Make your SmartHome smart with Infineon sensors & GenAI”.
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Takmičari su tokom 24 sata predano radili na razvoju rješenja i metoda za zadani izazov, koje su nakon isteka vremena prezentovali. Nakon odličnih prezentacija, u uži krug su se plasirali timovi iz Trsta, Madrida i Novog Sada. Mjesta su dodijeljena prema najboljim idejama, pri čemu je prvo mjesto osvojio tim iz Madrida, drugo mjesto tim iz Trsta, a treće mjesto tim iz Novog Sada.
EESTech Challenge je izvanredan projekat koji okuplja studente iz cijele Evrope sa zajedničkim ciljevima i interesima. Omogućava im umrežavanje i razmjenu ideja kroz tehnologiju, stvarajući nova prijateljstva i profesionalne kontakte.
Iskreno se zahvaljujemo našim sponzorima, Infineon Technologies, na izboru izazova, te HulkApps-u na obezbjeđivanju savršenog prostora za održavanje hakatona. Također se zahvaljujemo našim partnerima HTEC i Encode, te sponzorima RedBull i Džajić-Commerce. Njihova podrška i angažman bili su ključni za uspjeh ovog događaja.
Posebnu zahvalnost dugujemo svim volonterima te članovima Organizacionog odbora: Dženana Terzić, Iman Kantić, Hamza Ramić, Mersid Pilipović, Amina Hajrić i Nudžejma Kantić, čiji je trud i posvećenost omogućio da ovaj događaj bude organizovan na najvišem nivou. Predanost i rad iza kulisa učinili su ovo takmičenje nezaboravnim iskustvom za sve učesnike.
Za više informacija možete pogledati Instagram profil projekta.
Odgovori pobjednika na Vaša pitanja:
1. AI applications have evolved over the past few years and have found their applications in almost every business sector, including NGOs. We understand that the NGO sector comprises several different areas (marketing, finance, ecology, human rights) and extensively uses social media to relay its goals. What good practices can help NGOs utilize AI applications and not just use basic tools, such as ChatGPT, to create social media content or write reports?
While generative AI models like ChatGPT have garnered a lot of hype, they are still finding their place in industry-level applications. We actually advise using some of the more classical AI models. These models could help in various ways; for example, sentiment analysis tools could be useful for an NGO. More complex technologies, like large language models (LLMs), can automate interactions, such as with a custom AI chatbot that reflects the NGO's values.
2. AI applications and the future – what are the trends from your perspective, and what can we expect as the next big thing in AI application creation and usage?
One of the most exciting trends in AI right now is how proficient these models are becoming at understanding our reality. These representations of reality, called embeddings, can summarize an image, a text, or an audio clip. These high-quality representations can then be used to develop models for specific use cases rapidly and effectively. The scientific community is focusing on developing these embeddings to create better, more general models capable of handling multimodal data (e.g., audio, text, image).
3. We are aware that it is harder than ever to detect AI (in images, texts, even videos – e.g., the Sonora project). What tactics can NGOs, the media, and the broader public utilize to combat negative effects, such as false news?
This is one of the big challenges for humanity in the coming years. We believe that, in theory, these models will eventually be able to generate indistinguishable samples. This means there will be no way to tell them apart from real samples. Once this happens, we will have to rely on official sources for news, verifying them through cryptographic techniques. Hopefully, the models are not perfect for a long time, allowing us to detect fake samples by identifying their respective generative biases.
4. How important are challenges like these? How do these events create new trends?
Not being able to distinguish fake news will force the population to trust only a few sources of information. We are also concerned with the increasing number of bots online, which support the agendas of their creators and will eventually be indistinguishable from real users. This creates many problems for democracies and governments in general. Authentication through cryptographic means will become ever more important, with passwords needing to be exchanged physically. This again concentrates power in the hands of a few authenticators.