Small mammals are early warning systems for environmental damage, but many species look almost identical, making them hard to track. Scientists have developed a new footprint-based method that can tell apart nearly indistinguishable species with remarkable accuracy. Tested on two types of sengi, the system correctly identified them up to 96% of the time. It offers a simple, ethical way to monitor ecosystems before they quietly unravel.
source https://www.sciencedaily.com/releases/2026/01/260128075328.htm
ZTE wins three Selular Award 2026 honors for AI-powered network innovation
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ZTE has won three prestigious awards at Selular Award 2026, held on June 8,
2026, at Menara Peninsula Hotel, Jakarta. The awards recognize ZTE's
contributi...
4 hours ago
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