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@@ -67,7 +67,7 @@ <h1 class="logo mr-auto"><a href="index.html">SLIIT COEAI</a></h1> | |
| <li><a href="index.html#publications">Publications</a></li> | ||
| <li><a href="index.html#research">Research</a></li> | ||
| <!-- <li><a href="PartnerWithus.html">PartnerWithUs</a></li> --> | ||
| <li><a href="Event.html">Event</a></li> | ||
| <li><a href="Event.html">Events</a></li> | ||
| </ul> | ||
| </nav><!-- .nav-menu --> | ||
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@@ -89,30 +89,71 @@ <h2>Latest News</h2> | |
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| </div> | ||
| </section><!-- End Breadcrumbs --> | ||
| <section class="container" id="news9"> | ||
| <div class="row"> | ||
| <div class="col-lg-6"> | ||
| <h3>Sample Title</Title></h3> | ||
| <p style="text-align: justify;"> Sample details</p> | ||
| </div> | ||
| <div class="col-lg-6"> | ||
| <img src="assets/img/news/AwarenessSessionFlyer.png" class="img-fluid" alt="" height="250" width="250"> | ||
| <section class="container" id="news9"> | ||
| <div class="row align-items-center"> | ||
| <div class="col-lg-6"> | ||
| <h3>ICAC 2024</h3> | ||
| <p style="text-align: justify;"> | ||
| The 6th International Conference on Advancements in Computing (ICAC) is organized by the Faculty of Computing of the Sri Lanka Institute of Information Technology (SLIIT) as an open forum for academics along with industry professionals to present the latest findings and research output and practical deployments in the Computer Science and Information Technology domains. All five ICAC conferences held from 2019 to 2023 were successfully conducted with a technical co-sponsorship by IEEE Sri Lanka. | ||
| <br><br> | ||
| ICAC aims to elevate the research landscape and attract a diverse group of researchers, creating a platform to showcase their research work, network, and initiate collaborations. This year’s conference is especially focused on bridging the horizons in Artificial intelligence for the betterment of the future, acknowledging the advancements of computing. | ||
| <br><br> | ||
| ICAC 2024 will feature a pre-conference summer school, providing an invaluable platform for aspiring researchers to immerse themselves in emerging trends and technologies while cultivating skills and knowledge to the continually evolving fields of computing and information technology. | ||
| </p> | ||
| <br> | ||
| <a href="https://icac.lk/">Link to the ICAC website</a> | ||
| </div> | ||
| <div class="col-lg-6 d-flex justify-content-center"> | ||
| <img src="assets/img/news/coeai/icac.jpeg" class="img-fluid" alt="ICAC 2024"> | ||
| </div> | ||
| </div> | ||
| </div> | ||
| </section> | ||
| </section> <hr> | ||
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| <section class="container" id="news8"> | ||
| <div class="row"> | ||
| <section class="container" id="news10"> | ||
| <div class="row align-items-center"> | ||
| <div class="col-lg-6"> | ||
| <h3>Sample Title</Title></h3> | ||
| <p style="text-align: justify;"> Sample details</p> | ||
| <h3>Tech Talk on “The Alignment of LLMs Through the Lens of Data and Algorithms”</h3> | ||
| <p style="text-align: justify;"> | ||
| This talk discusses improving the safety and alignment of large language models (LLMs) with human values. It highlights SafeDecoding, a method for safer inference, and Magpie, a technique for generating synthetic data to enhance alignment. The research tackles vulnerabilities that expose LLMs to jailbreak attacks, proposing solutions that avoid retraining or modifying the models. Conducted in collaboration with leading institutions, the work aims to enable safer and more reliable real-world LLM deployments. | ||
| <br><br> | ||
| Dr. Radha Poovendran, Professor at the University of Washington and Director of the Network Security Lab, focuses on the security and resilience of cyber systems, including AI-driven technologies and network security. An IEEE Fellow (2015), he has led U.S. federal agency-funded projects with research outcomes adopted by the U.S. Naval Research Lab. He has co-authored award-winning papers, including the IEEE/IFIP William C. Carter Award Paper (2010). | ||
| </p> | ||
| <br> | ||
| </div> | ||
| <div class="col-lg-6 d-flex justify-content-center"> | ||
| <img src="assets/img/news/coeai/sep25.jpg" class="img-fluid" alt="llm"> | ||
| </div> | ||
| <div class="col-lg-6"> | ||
| <img src="assets/img/news/SIGCHI-Flyer2.png" class="img-fluid" alt="" height="300" width="300"> | ||
| </div> | ||
| </div> | ||
| </section> | ||
| </section> <hr> | ||
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| <section class="container" id="news11"> | ||
| <div class="row align-items-center"> | ||
| <div class="col-lg-6"> | ||
| <h3>Calling All Volunteers! 🚀🎓</h3> | ||
| <p style="text-align: justify;"> | ||
| Are you ready to make a difference in the world of education using cutting-edge technology? We’re looking for passionate volunteers to participate in our 6-week GenAI in Education Projects! | ||
| <br><br> | ||
| This exciting opportunity invites you to collaborate in groundbreaking research aimed at transforming the way students learn using personalized AI-powered chatbots. As a volunteer, you will engage with a tailored AI tutor to answer 20 unique questions per week. Your chat history and feedback will play a crucial role in enhancing and evolving these AI tools for future generations of learners. | ||
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| By joining this initiative, you’ll gain the unique chance to help shape educational innovations with artificial intelligence, while also contributing to meaningful research on how personalized GenAI chatbots can support students’ academic journeys. | ||
| <br><br> | ||
| As a participant, you will receive: | ||
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| A letter confirming your valuable participation in this study. | ||
| A gift pack as a token of our appreciation for your commitment. | ||
| An option to receive aggregate findings once the research is published. <br><br> | ||
| Ready to make a real impact? <br><br> | ||
| Apply here: <a href="https://shorturl.at/h96kG"> Link</a> | ||
| <br><br> | ||
| For more details, feel free to reach out to our Chief Investigator, Prof. Nuwan Kodagoda, via email at: [email protected] | ||
| </p> | ||
| <br> | ||
| </div> | ||
| <div class="col-lg-6 d-flex justify-content-center"> | ||
| <img src="assets/img/news/coeai/pic4.png" class="img-fluid" alt="volunteer"> | ||
| </div> | ||
| </div> | ||
| </section> <hr> | ||
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| </main><!-- End #main --> | ||
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