Niger
New dinosaur discovered in Sahara desert was a horned 'hell heron'
New dinosaur discovered in Sahara desert was a horned'hell heron' 'Spinosaurus mirabilis' sported a 20-inch-tall'scimitar' on its head. Spinosaurus mirabilis stands along river's edge over its prey some 95 million years ago. A scimitar-shaped head crest and interdigitating teeth characterize this wading giant, one of the last-surviving spinosaurid species. Breakthroughs, discoveries, and DIY tips sent six days a week. Paleontologists still know comparatively little about fin-backed dinosaurs .
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- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
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- Education (0.46)
- Information Technology (0.46)
Language Model Tokenizers Introduce Unfairness Between Languages
Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in the treatment of different languages arises at the tokenization stage, well before a model is even invoked. The same text translated into different languages can have drastically different tok-enization lengths, with differences up to 15 times in some cases. These disparities persist even for tokenizers that are intentionally trained for multilingual support.
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- Asia > Philippines > Luzon > Ilocos Region > Province of Pangasinan (0.04)
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.70)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.69)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)
- Information Technology > Artificial Intelligence > Natural Language > Machine Translation (0.68)
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Europe > Bulgaria (0.04)
- Europe > Belgium > Brussels-Capital Region > Brussels (0.04)
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Are drones, AI making it harder to fight armed groups in the Sahel?
Are drones, AI making it harder to fight armed groups in the Sahel? The brazen attack on the international airport and nearby military airbase in Niamey, Niger's capital, came overnight between January 28 and 29. Balls of orange fire flew across the sky as the Nigerien army attempted to respond while residents ducked for cover and whispered prayers, as shown in videos on social media. ISIL (ISIS) in Sahel Province, or ISSP - a Niger-based outfit earlier known as the ISIL affiliate in the Greater Sahara or ISGS - has since claimed responsibility and says it killed several soldiers, although the Nigerien army disputes this. Many of its fighters had breached military drone hangars using RPGs and mortars, and managed to damage several aircraft and one civilian aeroplane, according to videos from the group.
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- Government > Military > Air Force (0.55)
- Government > Military > Army (0.50)
Three West African juntas have turned to Russia. Now the US wants to engage them
Three West African juntas have turned to Russia. The US has declared a stark policy shift towards three West African countries which are battling Islamist insurgents and whose military governments have broken defence ties with France and turned towards Russia. The state department announced that Nick Checker, head of its Bureau of African Affairs, would visit Mali's capital Bamako to convey the United States' respect for Mali's sovereignty and chart a new course in relations, moving past policy missteps. It adds that the US also looks forward to co-operating with Mali's allies, neighbouring Burkina Faso and Niger, on shared security and economic interests. Absent from the agenda is the longstanding American concern for democracy and human rights.
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- Asia > Russia (0.56)
- Africa > Burkina Faso (0.38)
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- Government > Regional Government > North America Government > United States Government (1.00)
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Starbucks bets on robots to brew a turnaround in customers
Americans pulling into a Starbucks drive thru might think they are being served by a friendly staff member. But at some locations, the voice listening to the order is actually an AI robot. Behind the counter inside the store, baristas can lean on a virtual personal assistant to recall recipes or manage schedules. In the back of the shop, a scanning tool has taken on the painstaking process of counting the inventory, relieving staff of one of retail's most tedious chores, in a bid to fix the out-of-stock gaps that have frustrated the firm. The new technology is part of the hundreds of millions of dollars the 55-year-old coffee giant has been investing as it tries to win back customers after several years of struggling sales.
- North America > Central America (0.15)
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- Europe > United Kingdom > Wales (0.05)
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Global health's defining test
As we look back on 2025, the world experienced a year of both remarkable achievement and profound challenge in global health. Multilateralism, science and solidarity were tested as never before, underscoring a fundamental truth: International cooperation is not optional. It is essential if we are to protect and promote health for everyone, everywhere in 2026 and beyond. Perhaps the most significant milestone was the adoption by WHO Member States of the Pandemic Agreement, a landmark step towards making the world safer from future pandemics. Alongside this, amendments to the International Health Regulations came into force, including a new "pandemic emergency" alert level designed to trigger stronger global cooperation.
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- Health & Medicine > Therapeutic Area > Infections and Infectious Diseases (1.00)
- Health & Medicine > Therapeutic Area > Immunology > HIV (0.52)
A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition
Tivenan, Stephen, Sahoo, Indranil, Qian, Yanjun
Spatial boundaries, such as ecological transitions or climatic regime interfaces, capture steep environmental gradients, and shifts in their structure can signal emerging environmental changes. Quantifying uncertainty in spatial boundary locations and formally testing for temporal shifts remains challenging, especially when boundaries are derived from noisy, gridded environmental data. We present a unified framework that combines heteroskedastic Gaussian process (GP) regression with a scaled Maximum Absolute Difference (MAD) Global Envelope Test (GET) to estimate spatial boundary curves and assess whether they evolve over time. The heteroskedastic GP provides a flexible probabilistic reconstruction of boundary lines, capturing spatially varying mean structure and location specific variability, while the test offers a rigorous hypothesis testing tool for detecting departures from expected boundary behaviors. Simulation studies show that the proposed method achieves the correct size under the null and high power for detecting local boundary shifts. Applying our framework to the Sahel Sahara transition zone, using annual Koppen Trewartha climate classifications from 1960 to 1989, we find no statistically significant decade scale changes in the arid and semi arid or semi arid and non arid interfaces. However, the method successfully identifies localized boundary shifts during the extreme drought years of 1983 and 1984, consistent with climate studies documenting regional anomalies in these interfaces during that period.
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- Africa > Sub-Saharan Africa (0.04)
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Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
Piedrahita, David Guzman, Strauss, Irene, Schölkopf, Bernhard, Mihalcea, Rada, Jin, Zhijing
As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.
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