Tootfinder

From the Water-Wasteful ‘Ice Bucket Challenge’ Comes Pipelines Built in Nepal So Kids Don’t Have to Haul it From Afar https://www.goodnewsnetwork.org/from-the-water-wasting-ice-bucket-challenge-comes-pipelines-built-in-nepal/…

From the Water-Wasteful ‘Ice Bucket Challenge’ Comes Pipelines Built in Nepal So Kids Don’t Have to Haul it From Afar
A Scotsman transformed the spirit of the Ice Bucket Challenge into a truly impactful program—new water pipelines for remote Nepal villages.

Hier mal was erfreuliches: https://www.independent.co.uk/tech/renewable-energy-solar-nepal-bhutan-iceland-b2533699.html

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Ronal Singh, Mohan Baruwal Chhetri, Surya Nepal, Cecile Paris
https://arxiv.org/abs/2506.09365

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Modern Security Operations Centres (SOCs) integrate diverse tools, such as SIEM, IDS, and XDR systems, offering rich contextual data, including alert enrichments, flow features, and similar case histories. Yet, analysts must still manually determine which of these contextual cues are most relevant when validating specific alerts. We introduce ContextBuddy, an AI assistant that learns from analysts' prior investigations to help them identify the most relevant context for new alerts. Rather than …

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
Erik Buchholz, Natasha Fernandes, David D. Nguyen, Alsharif Abuadbba, Surya Nepal, Salil S. Kanhere
https://arxiv.org/abs/2506.09312

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
While location trajectories offer valuable insights, they also reveal sensitive personal information. Differential Privacy (DP) offers formal protection, but achieving a favourable utility-privacy trade-off remains challenging. Recent works explore deep learning-based generative models to produce synthetic trajectories. However, current models lack formal privacy guarantees and rely on conditional information derived from real data during generation. This work investigates the utility cost of e…