A drone explodes during a Russian drone strike in Kyiv on Nov. 14. LONDON - Explosive weapons killed or injured children at record levels last year, as wars increasingly move into urban areas, Save the Children said in a report published Thursday. Nearly 12,000 children were killed or injured in conflict last year worldwide, said the U.K.-based charity, citing U.N. figures. This is the highest number since records began in 2006, and is 42% higher than the 2020 total. Previously, children in war zones were more likely to die from malnutrition, disease or failing health systems. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

AI has the potential to significantly improve how NGOs utilize their limited resources for societal benefits, but evidence about how NGOs adopt AI remains scattered. In this study, we systematically investigate the types of AI adoption use cases in NGOs and identify common challenges and solutions, contextualized by organizational size and geographic context. We review the existing primary literature, including studies that investigate AI adoption in NGOs related to social impact between 2020 and 2025 in English. Following the PRISMA protocol, two independent reviewers conduct study selection, with regular cross-checking to ensure methodological rigour, resulting in a final literature body of 65 studies. Leveraging a thematic and narrative approach, we identify six AI use case categories in NGOs - Engagement, Creativity, Decision-Making, Prediction, Management, and Optimization - and extract common challenges and solutions within the Technology-Organization-Environment (TOE) framework. By integrating our findings, this review provides a novel understanding of AI adoption in NGOs, linking specific use cases and challenges to organizational and environmental factors. Our results demonstrate that while AI is promising, adoption among NGOs remains uneven and biased towards larger organizations. Nevertheless, following a roadmap grounded in literature can help NGOs overcome initial barriers to AI adoption, ultimately improving effectiveness, engagement, and social impact.

The NGO appeared to accuse Israel of being behind the incident and called for Israeli ambassadors to be summoned to answer for "violation of international law, including the ongoing blockade and the bombing of our civilian vessel". The Israeli military said it was looking into reports of the attack. The Freedom Flotilla Coalition uploaded a video showing a fire on one of its ships but did not indicate whether anyone had been hurt. It said the attack appeared to have targeted the generator, which left the ship without power and at risk of sinking. The ship was 17 nautical miles (31.5 kilometres) east of Malta when it was hit.

Parabolic partial differential equations (PDEs) appear in many disciplines to model the evolution of various mathematical objects, such as probability flows, value functions in control theory, and derivative prices in finance. It is often necessary to compute the solutions or a function of the solutions to a parametric PDE in multiple scenarios corresponding to different parameters of this PDE. This process often requires resolving the PDEs from scratch, which is time-consuming. To better employ existing simulations for the PDEs, we propose a framework for finding solutions to parabolic PDEs across different scenarios by meta-learning an underlying base distribution. We build upon this base distribution to propose a method for computing solutions to parametric PDEs under different parameter settings. Finally, we illustrate the application of the proposed methods through extensive experiments in generative modeling, stochastic control, and finance. The empirical results suggest that the proposed approach improves generalization to solving PDEs under new parameter regimes.

WARNING: Graphic footage--Former Detroit Police Chief James Craig joined'Tucker Carlson Tonight' to call on federal authorities to crack down on agitators. A Sacramento, California pub issued a public apology after a far-left activist tied to Antifa slammed it for displaying footage from "Harry Potter" video game "Hogwarts Legacy" during work hours. The Antifa member accused Streets Pub and Grubof promoting hate towards the LGBTQ community by displaying a game affiliated with author J.K. Rowling, the creator of "Harry Potter." She has been called transphobic by LGBTQ activists for her views on biological sex. "Our sincerest apologies to those affected by this incident," the pub stated in a social media post, adding, "We will make sure to be more careful."

Some applications of Description Logic (DL) ontologies combine complete information (e.g., stemming from relational databases) with incomplete, open-world knowledge. Several research efforts in the last years have advocated closed predicates, which are predicates whose extension is interpreted as complete, as a suitable way to leverage partial completeness within the standard open-world semantics of DLs. These works have also studied the data complexity of query answering in the presence of closed predicates, which is generally intractable. In this paper we contribute to the understanding the combined complexity of the problem, by establishing tight complexity results for a range of DLs and query answering problems. In summary, our results show that consistency testing and instance query answering in the presence of closed predicates are feasible in NP even for rich dialects of the DL-Lite family; this is the lowest complexity that could be expected. For EL, in contrast, they are EXPTIME-complete, thus as hard as for ALC and some of its extensions. If unions of conjunctive queries (UCQs) are considered, the picture is even bleaker: we can show 2EXPTIME-hardness even for DL-Lite_R and EL. This is in sharp contrast to the NP-upper bound in the standard setting without closed predicates, and coincides with known upper bounds for much richer DLs. We note that our results imply 2EXPTIME-hardness of query answering in ALCO for the standard setting, where all predicates are interpreted under the open-world semantics.

In this paper we consider planning problems in relationalMarkov processes where objects may "appear" or "disap-pear", perhaps depending on previous actions or propertiesof other objects. For instance, problems which require to ex-plicitly generate or discover objects fall into this category. Inour formulation this requires to explicitly represent the un-certainty over the number of objects (dimensions or factors)in a dynamic Bayesian networks (DBN). Many formalisms(also existing ones) are conceivable to formulate such prob-lems. We aim at a formulation that facilitates inference andplanning. Based on a specific formulation we investigate twoinference methods--rejection sampling and reversible-jumpMCMC--to compute a posterior over the process conditionedon the first and last time slice (start and goal state).

Marketing is a crucial part of any company's operations. It involves informing customers about a product's or service's value proposition, convincing them to buy the product/service, and finally establishing a brand. Marketing ideas apply to non-profits as well, because finances are required to continue existing functions and expand future capacities. So, in this case, the donor is a customer, and the cause or project is a product! Even the most charitable organization can't accomplish anything unless people are aware of it.

I went to my first in person meeting since February 2020 last week! How to be? Wonderful and scary!) It was an enjoyable Responsible Tech Meet Up hosted by Cennydd Bowles and inspired by the All Tech Is Human meet ups held elsewhere. It was great and depressing to hear the inside stories from folks at the heart of trying to make tech responsible and accountable, the problems they face and their indefatigable efforts to create change. We got talking about'What Worked' to persuade companies and governments to change to more'responsible' behaviour.

International negotiations to regulate artificial intelligence-based weapons are encountering difficulties, with Japan, Germany and others backing international rules on regulation but maintaining a cautious stance on a treaty to prohibit killer robots. Behind their muted approach is a fear that countries that develop autonomous weapons would shun such a treaty anyway, diminishing the significance of international efforts toward any regulation. Therefore, countries differ over how to attain this objective while agreeing on the need to prevent lethal autonomous weapons from running out of control. Germany hosted an online meeting in early April amid the COVID-19 pandemic to facilitate talks on the control of killer robots, as promoted by the U.N. Convention on Certain Conventional Weapons (CCW). Representatives of more than 60 countries and regions, including the United States and Israel, both developers of AI weapons, the European Union and the United Nations, as well as nongovernmental organizations, logged in to participate in the forum.