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Every day, honeybees fly several kilometres from their hive in search of nectar, yet they consistently find their way home. Rather than constructing detailed maps of their surroundings, they rely on two complementary strategies: path integration, which continuously estimates their position by tracking the direction and distance travelled, and visual memories formed during brief learning flights around the hive. Autonomous robots face a similar challenge. Most existing navigat

Mimicking the complex biological design of the human brain and leveraging the characteristics of spiking neural networks to build more reliable and robust AI models In today’s world, people use and trust popular artificial intelligence models for a large variety of day-to-day tasks and queries. This trust has been developed between the creators of such AI models and users solely because they have achieved human-like speed, quality and relevance in daily tasks. However, these

A nine-year collaborative project involving teams from the South Australian Health and Medical Research Institute (SAHMRI), The University of Adelaide, Baker Heart and Diabetes Institute, and La Trobe University has recently culminated in a groundbreaking discovery. The team has identified a new type of progenitor cell, EndoMac progenitor, which holds great promise for advancing regenerative wound healing applications. Dr. Sanuri Liyanage from SAHMRI highlighted the remarkab