Animal communication videos, such as those with bats and bees, are being decoded using AI algorithms, and the animals are then able to respond.
Natural language processing and deep learning algorithms have made it possible to monitor individual bees and assess the effects of communication on other bees. The method outperforms training animals human sign language. The study may alter our understanding of nonhuman interactions and environment.
AI Communication With Animals:
![](https://radiantmedia.io/wp-content/uploads/2023/02/Artificial_Intelligence_Word_Cloud.png)
What people know about nature and interactions between humans and nonhuman beings may change if AI is used to converse with animals. Professor Karen Bakker’s latest book, The Sounds of Life: How Digital Technology Is Bringing Us Closer to the Worlds of Animals and Plants, details how AI technology is enabling human-bee and human-bat communication, which is difficult to understand because it occurs above human hearing range and is extremely fast. Decoding recordings of animal conversation with artificial intelligence (AI) reveals information that is not audible to the human ear.
AI Communication With Bats:
![](https://radiantmedia.io/wp-content/uploads/2023/02/640px-Big-eared-townsend-fledermaus.jpg)
Bat transmission has been decoded using artificial intelligence technology. Mother bats speak to their babies in an equivalent of “motherese,” but while human mothers raise the pitch of their voices when talking to babies, mother bats lower the pitch to elicit a babble response from babies who learn to “speak” specific words as they grow up. Bats argue over food, distinguish between genders when communicating with one another, and have individual names or “signature calls.”
This is an illustration of how deep learning can extract patterns from instrumentation and disclose data that the human ear cannot access.
AI Communication With Honey Bees:
![](https://radiantmedia.io/wp-content/uploads/2023/02/Bee_Collecting_Pollen_2004-08-14.jpg)
Additionally, AI has been used to interact with honey pollinators. Their movements can be tracked by the technology, which can also monitor bee communication. A robot honey bee that can enter a hive and interact with the other bees has been developed by researchers. Other bees can be directed to halt and where to fly by the robot. Researchers are also familiar with the words “hush” and “stop” that wasps use.
Conclusion
The development of using AI to interact with animals is intriguing and creative. The technology may alter how people view the natural world and interactions with other species. Bees and bats have been the focus of research to date, but future efforts may also involve other creatures, including plants. Although the technology has many advantages, it also presents moral and philosophical issues that must be taken into account.
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