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 Madagascar


Opera singers and shrieking lemurs share vocalization strategies

Popular Science

The world's only known signing lemur needs to make calls that can travel through the thick rainforest. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. How the points of the mouth are tracked during singing. With piercing, emergency siren-like calls, the indri () is the world's only known singing lemur. The primates found in Madagascar's rainforest swing through the trees, making these sounds that contain a surprisingly human element.


Remote-controlled cockroach swarm can now breathe underwater

New Scientist

Swarms of cyborg insects controlled remotely via electrical implants can now operate underwater, thanks to tiny diving suits supplying them with oxygen - which could one day enable them to explore Mars. Hirotaka Sato at Nanyang Technological University in Singapore and his colleagues first demonstrated in 2021 that Madagascar hissing cockroaches () could be remotely controlled with electrodes embedded in sensory organs known as cerci. In 2024, they demonstrated that a swarm of 20 of these cyborg insects could coordinate. The aim was to develop biological robots equipped with infrared sensors that could be released in large numbers after natural disasters to search for survivors. Cockroaches represent a ready-made platform for such applications with a working fuel source, efficient locomotion and in-built reflexes to dodge obstacles - capabilities that engineers still struggle to replicate mechanically at such a small scale.


AI could help win 'race against extinction' of vital plants, say botanists

The Guardian

A botanist at Kew's Madagascar research site scans a plant for digitisation. A botanist at Kew's Madagascar research site scans a plant for digitisation. AI could help win'race against extinction' of vital plants, say botanists Tech is helping to identify and save new specimens and could open'genomic goldmine' of fungi data The rise of AI and digitisation could be a turning point in the "race against extinction" faced by botanists trying to identify and save vital plants before they vanish, according to a major report from Royal Botanic Gardens, Kew. New technology is enabling scientists to track how flowering times have shifted by weeks around the world, rapidly identify new specimens and even get crucial genetic data from 180-year-old fungus specimens, potentially opening a "genomic goldmine". Digitisation and online access to millions of specimens that were until now only accessible in archives is also producing new insights, especially in the global south.


Taiwan president cancels trip after African countries close airspace

BBC News

Taiwan President Lai Ching-te has cancelled a presidential trip to the African nation of Eswatini, accusing Beijing of putting pressure on its neighbours to bar his aircraft from flying over their territories. Seychelles, Mauritius and Madagascar revoked Lai's overflight permits after intense pressure and economic coercion from China, said a Taiwan official. China denied coercion, while praising the three African countries saying it had high appreciation for them. This is the first publicly known instance where a Taiwanese leader has had to cancel a foreign trip due to revoked flight permits. Eswatini, formerly known as Swaziland, is Taiwan's only diplomatic ally in Africa.






Language Model Tokenizers Introduce Unfairness Between Languages

Neural Information Processing Systems

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.


Automated Classification of Model Errors on ImageNet

Neural Information Processing Systems

While the ImageNet dataset has been driving computer vision research over the past decade, significant label noise and ambiguity have made top-1 accuracy an insufficient measure of further progress.