MIT Technology Review · 21 Oct, 09:00 · Technology briefing

Interspecies communication

Recent research highlights significant advancements in decoding non-human vocalisations, particularly among cetaceans and elephants, using machine learning algorithms.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Recent research highlights significant advancements in decoding non-human vocalisations, particularly among cetaceans and elephants, using machine learning algorithms. This development suggests that complex interspecies communication may be decipherable, bridging a long-standing gap in biological understanding. For professionals, this signals a convergence of computational linguistics, behavioural biology, and advanced data analytics. The ability to interpret animal signals could revolutionise conservation efforts, agricultural practices, and ecological monitoring. It represents a pivotal moment where technology enables deeper engagement with the natural world, offering new insights into animal behaviour and potentially transforming how humans interact with other species in shared environments.

Employer demand for Artificial Intelligence skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.2x20211.7x20222.4x20233.5x20245.1x20257.3x20269.9x
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What this means
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This breakthrough elevates the value of skills at the intersection of data science, biology, and artificial intelligence. You should pay close attention if you work in conservation, agriculture, or tech development. Professionals who can interpret complex biological data sets will find increased demand. A smart next step is to deepen your expertise in machine learning applications for non-standard data sources. Consider upskilling in bioacoustics or computational linguistics to stay ahead. Understanding how AI decodes natural patterns positions you for roles in environmental tech and sustainable development. You must also develop interdisciplinary collaboration skills, as success in this field requires bridging technical and biological domains. Start exploring courses that combine data analysis with ecological studies.

For this story, the fields that convert it into pay are Artificial Intelligence, Data Science, Psychology and Engineering — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Artificial Intelligence+22%Data Science+27%Psychology+33%Engineering+24%
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This briefing is based on reporting by MIT Technology Review on 21 Oct, 09:00. Read the original coverage →

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