Tootfinder

CARNET, the Croatian Academic and Research Network, is leading the way to inclusive and digitally advanced educational landscape with transformative projects such as ATTEND, e-Universities, BrAIn, and CroQCI.
Read how the Croatian NREN is shaping the future of the country:

CARNET’s Cutting-Edge Projects: Empowering Education for all and building a Secure Communication Infrastructure | GÉANT CONNECT Online
Words by: Anja Korda, CARNET In the pursuit of an inclusive and digitally advanced education landscape, the Croatian Academic and Research Network - CARNET – is leading the way with transformative projects. ATTEND, e-Universities, BrAIn, and CroQCI demonstrate a commitment to innovation, accessibility, and the integration of emerging technologies. ATTEND – Bridging Gaps for Pupils

CARNET, the Croatian Academic and Research Network, is leading the way to inclusive and digitally advanced educational landscape with transformative projects such as ATTEND, e-Universities, BrAIn, and CroQCI.
Read how the Croatian NREN is shaping the future of the country:

CARNET’s Cutting-Edge Projects: Empowering Education for all and building a Secure Communication Infrastructure | GÉANT CONNECT Online
Words by: Anja Korda, CARNET In the pursuit of an inclusive and digitally advanced education landscape, the Croatian Academic and Research Network - CARNET – is leading the way with transformative projects. ATTEND, e-Universities, BrAIn, and CroQCI demonstrate a commitment to innovation, accessibility, and the integration of emerging technologies. ATTEND – Bridging Gaps for Pupils

Carie Fisher: Empowering #accessibility: GitHub’s journey building an in-house Champions program
https://github.blog/2024-05-01-empower

Empowering accessibility: GitHub's journey building an in-house Champions program
As part of GitHub's dedication to accessibility, we expanded our internal accessibility program and scaled up our internal auditing process to help remove or lower barriers for users with disabilities. Then, we empowered employees from various disciplines to drive accessibility efforts within their teams.

Empowering IoT Applications with Flexible, Energy-Efficient Remote Management of Low-Power Edge Devices
Shadi Attarha, Anna F\"orster
https://arxiv.org/abs/2405.01578

Empowering IoT Applications with Flexible, Energy-Efficient Remote Management of Low-Power Edge Devices
In the context of the Internet of Things (IoT), reliable and energy-efficient provision of IoT applications has become critical. Equipping IoT systems with tools that enable a flexible, well-performing, and automated way of monitoring and managing IoT edge devices is an essential prerequisite. In current IoT systems, low-power edge appliances have been utilized in a way that can not be controlled and re-configured in a timely manner. Hence, conducting a trade-off solution between manageability,…

Empowering change in the garden! Today, we transformed the side patch, overcame wild onions and built a mini fence. Let's make plastic waste disappear!
#futureurbanfarmer #garden #gardenlife

"...as they live out their passions."😅

"This work shows that a #decentralized approach to #moderation can lead to higher content reliability on #socialmedia. This approach is also more efficient and scalable than centralized moderation…

Empowering social media users to assess content helps fight misinformation
MIT researchers built a prototype social media platform to study the effects of giving users more agency to assess content for accuracy and control the posts they see based on accuracy assessments from others. Users were able to make accurate assessments, despite having no prior training, and they valued and utilized the assessment and filtering tools they designed.

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palas…

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
The White House Executive Order on Artificial Intelligence highlights the risks of large language models (LLMs) empowering malicious actors in developing biological, cyber, and chemical weapons. To measure these risks of malicious use, government institutions and major AI labs are developing evaluations for hazardous capabilities in LLMs. However, current evaluations are private, preventing further research into mitigating risk. Furthermore, they focus on only a few, highly specific pathways fo…

The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment
Chris Chinenye Emezue, Ifeoma Okoh, Chinedu Mbonu, Chiamaka Chukwuneke, Daisy Lal, Ignatius Ezeani, Paul Rayson, Ijemma Onwuzulike, Chukwuma Okeke, Gerald Nweya, Bright Ogbonna, Chukwuebuka Oraegbunam, Esther Chidinma Awo-Ndubuisi, Akudo Amarachukwu Osuagwu, Obioha Nmezi

The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment
The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communication, learning and preservation. To create robust, impactful, and widely adopted language technologies for Igbo, it is essential to incorporate the multi-dialectal nature of the language. The primary obstacle in achieving dialectal-aware language technologies is the lack of comprehensive dialectal datasets. In respo…

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li
https://arxiv.org/abs/2404.01754

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
Automated generation of feedback on programming assignments holds significant benefits for programming education, especially when it comes to advanced assignments. Automated Program Repair techniques, especially Large Language Model based approaches, have gained notable recognition for their potential to fix introductory assignments. However, the programs used for evaluation are relatively simple. It remains unclear how existing approaches perform in repairing programs from higher-level program…