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\UN report warns AI could soon use 3% of world’s electricity and more water than we need to drink
Amanda Turnbull-McRae, University of Waikato
One argument often used to quell concerns about the rising energy and resource demand of data centres is that artificial intelligence (AI) models will need less in the future as they improve and become more efficient.
But this seemingly logical thinking is a trap, according to a new United Nations report that quantifies the environmental costs of AI.
The report estimates that by 2030, AI’s energy use could double to consume 3% of the world’s electricity, produce emissions to equal the UK and deplete more water for cooling than the annual drinking water need of the global population.
It also anticipates the use of AI will follow an economic principle known as the “Jevons paradox”, which predicts that when technological improvements increase the efficiency of a resource, it leads to a rise, rather than a fall, in the total consumption of that resource.
The paradox is named after economist William Stanley Jevons who observed this effect with the use of coal in 19th-century England. Efficiency gains did not reduce overall consumption. Instead, the lower costs resulted in expanded use and higher overall demand.
As AI models become cheaper and more attractive, the report expects this to encourage new uses and higher volumes of use, eroding and possibly erasing any savings from efficiency advances.
To avoid falling into this trap, it lays out a roadmap for responsible AI use based on guiding principles of transparency, efficiency by design, equity and justice, lifecycle responsibility, global cooperation and sustainable use.
The scale of the problem
Last year, data centres already consumed as much electricity as Saudi Arabia, which ranks as the world’s 11th largest electricity consumer.
If electricity use doubles as projected by 2030, the associated carbon footprint would require 6.7 billion trees grown over ten years to offset this demand.
Data centres would also require 9.3 trillion litres of water and land nearly ten times the size of Mexico City.
Beyond resource use, the report also underscores the structural inequity at the heart of the AI boom, with only 32 nations hosting AI-specific cloud infrastructure and 90% of that capacity located in the US and China.
It warns of a widening digital divide between nations that build and control AI systems and those that consume them, with the latter often bearing a disproportionate environmental burden caused by mineral extraction and e-waste.
Responsible AI use
Two main forces shape AI’s operational footprint: how much we use it and how we use it.
This involves all tasks AI models perform, from text and code generation to image and video. Each of these tasks requires different levels of computational effort.
The model choice also matters as each AI system performs these task with distinct energy and environmental costs.
The report argues responsible AI requires full value-chain governance, from mineral sourcing to recycling and safe disposal.
It calls for a twinning of capability and environmental stewardship – thinking about both what AI can do for us and the protection of the natural environment.
This would mean making environmental disclosures a routine part of AI development, at both the model and task level, and incorporating projected AI demand in climate and energy planning.
Responsible AI is crucial as countries are promoting and adopting AI across government and the public sector.
In Aotearoa New Zealand, the government has launched a national AI strategy and a public service AI framework.
While the framework was informed by the OECD’s values-based AI principles, including inclusive and sustainable development, there is no requirement for environmental disclosures and no regulator compiling energy use or emissions.
Likewise in Australia, improving public services is part of the national AI plan. For example, the National Film and Sound Archive of Australia has created Bowerbird, a machine learning-enabled mass audio and video transcription engine, to document material. The Department of Veteran’s Affairs has developed a proof-of-concept tool to see whether AI can help speed up the processing of claims.
Both countries take a deliberate “light touch” and principles-based regulatory approach to AI. But this approach risks overlooking the growing environmental cost of AI that can’t be solved by improving it.
The natural environment is foundational to the economy, culture and wellbeing. It should be at the centre of our thinking. It’s time to rethink the AI innovation playbook and shift focus toward a sustainable tech future.![]()
Amanda Turnbull-McRae, Senior Lecturer in Law, University of Waikato
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Climate change‑related heat increases the risk of premature birth in 13 countries – new study
Dominic Royé, Consejo Superior de Investigaciones Científicas (CSIC); Ana M Vicedo-Cabrera, University of Bern; Aurelio Tobias, Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA - CSIC); Carmen Íñiguez, Universitat de València, and Coral Salvador, University of Bern
Picture a sweltering summer’s day. Now imagine enduring the heat while eight months pregnant. Uncomfortable, to say the absolute least.
But in pregnancy, heat is more than just a nuisance, as for many women it can trigger early labour. A premature baby – meaning one born before 37 weeks of gestation – faces a significantly higher risk of mortality, as well as health complications that can affect them for the rest of their lives.
Decades of research has documented the link between exposure to heat and preterm births. However, most studies have been limited to a single city or country, using different methods that yielded results which were difficult to compare.
So how many premature births are actually caused by heat in different parts of the world? Are all pregnant women equally vulnerable? Our new study, published in Environment International, provides the most comprehensive answers to these questions to date.
13 countries, 36 million births
We analysed 36.6 million births that took place during the summer in 250 towns and cities, across 13 countries (Australia, Brazil, Canada, Chile, Ecuador, Estonia, Israel, Italy, Japan, Paraguay, Spain, Switzerland and the United States) between 1979 and 2019. This is the most extensive multi-site analysis conducted on this topic to date.
To estimate the relationship between temperature and the risk of preterm birth, we used cutting edge statistical models that allowed us to see the delayed and non-linear effects of heat exposure in the days leading up to delivery.
The findings are clear: the risk of preterm birth increases linearly as temperatures rise. On days of moderate heat, this risk increases by 2.8%. On days of extreme heat, the increase reaches 3.8%.
855 extra premature births per million
Translating these risks into specific figures provides a clearer picture of the scale of the problem. We estimate that 1.41% of all premature births occurring during the summer are attributable to heat. In absolute terms, this equates to 855 extra premature births per million births.
The magnitude is comparable to that of other well-established factors. For example, it far exceeds the contribution of maternal smoking in low and middle-income countries, and is on a par with that of malaria. And heat is already a major environmental risk factor for reproductive health.
The differences between countries are also revealing. Paraguay has the highest rate, with 1,347 preterm births per million, while Switzerland has the lowest, with 628. Spain falls in the upper-middle range, with 1,080 per million. This variability suggests that climate, the level of socio-economic development, and each country’s capacity to adapt significantly influence the vulnerability of pregnant women.
Not all pregnancies have the same risk
One of our study’s most significant findings suggests that heat may not affect all women equally. Young single mothers with lower levels of education who are in a vulnerable socio-economic situation may be at greater risk of heat-induced preterm birth.
Female foetuses also appear to be more susceptible than male foetuses. However, most of these subgroup analyses were not statistically significant, so further research is needed to confirm them.
There are specific mechanisms behind these differences. People who are economically disadvantaged are more likely to live in particularly hot areas due to the urban heat island effect. They are also more likely to work outdoors, and to lack access to air conditioning or other means of protection against the heat. Social inequality and climate inequality overlap, and the most vulnerable pregnant women pay the highest price.
Heat also speeds up births at term
Perhaps the most surprising finding of our research is that the effect of heat is not limited to preterm births. We have also observed a significant increase in the risk of delivery in pregnancies that would be considered clinically normal, between weeks 37 and 42. Specifically, extreme heat increases the risk of delivery in weeks 37-38 by 3.66%, and in pregnancies of 39 weeks or more by 2.97%.
This means that heat can act as a trigger for labour in foetuses that, under other circumstances, would have continued to develop normally. The most sensitive gestational window is from week 31 to week 40, spanning late preterm and early term births.
Root causes
There are many biological mechanisms at play here. Heat can raise body temperature and trigger uterine contractions. The dehydration caused by heat also disrupts the electrolyte balance and reduces blood flow to the placenta. Furthermore, heat triggers inflammatory processes and oxidative stress, which can compromise foetal development and accelerate cervical ripening.
Pregnant women are particularly vulnerable because their bodies generate more heat than usual due to foetal growth, while also having a reduced ability to dissipate that heat because of weight gain.
Global warming
These findings are particularly worrying in light of climate change. Over the coming decades, heatwaves will become more frequent, more intense, and will last longer. If we fail to act, the burden of preterm births attributable to high temperatures will only increase, undermining decades of progress in neonatal and child health.
A proper response requires action on several fronts. In the clinical setting, health systems must incorporate heat as a risk factor in antenatal care, particularly for socially vulnerable women. In the urban sphere, it is urgent to develop adaptation strategies – green spaces, climate shelters, early warning systems – that protect pregnant women during episodes of extreme heat. And at the policy level, these findings must be translated into ambitious emissions reduction targets.
Extreme heat is no longer just a matter of comfort. It is a question of public health, social equity and climate justice. And pregnant women are on the front line.![]()
Dominic Royé, Investigador Ramon y Cajal, Consejo Superior de Investigaciones Científicas (CSIC); Ana M Vicedo-Cabrera, Head Climate Change & Health research group, University of Bern; Aurelio Tobias, Associate professor, Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA - CSIC); Carmen Íñiguez, Profesora en el Departamento de Estadística e Investigación Operativa, Universitat de València, and Coral Salvador, Senior Research Assistant, University of Bern
This article is republished from The Conversation under a Creative Commons license. Read the original article.
First video of immune cells eating live skin cancer in real time
Macrophages (green) engulfing melanoma cells (purple). Keith et al. / Garvan Institute, CC BY-SA
Yuki Keith, Garvan Institute and Tri Phan, Garvan InstituteFor the past 15 years or so, a class of drugs called immune checkpoint inhibitors have been used to treat melanoma – the most dangerous kind of skin cancer.
For many patients, they produce remarkable results. For others, they do nothing.
We still don’t really know why. But in new research published in the Journal of Experimental Medicine, we observed immune cells called macrophages attacking melanoma cells in real time – which may offer clues about how we can make those therapies work for all patients, not just some.
Tumours, hot and cold
One of us (Yuki) treated patients with melanoma in Japan as a dermatologist. The other (Tri Phan) runs a lab at the Garvan Institute in Sydney, where his team specialises in observing the cells of the immune system in real time.
When Yuki wanted to understand why immune checkpoint inhibitors were failing for many patients, she joined Tri Phan’s lab to continue her research.
The treatment fails in what oncologists call “cold” tumours, where the cancer’s environment actively prevents a kind of immune cell called a T cell attacking it. One of our lab’s aims is trying to work out how to make the tumours “hot”, allowing T cells to penetrate and destroy the cancer cells.
Our new findings suggest a different kind of immune cell, called macrophages, may hold the key.
Macrophages (green) engulfing melanoma cells (purple). Yuki Keith, CC BYThe housekeepers we’ve been ignoring
In 1908, Russian zoologist Ilya Mechnikov was awarded a Nobel Prize for the discovery of phagocytosis (“cell eating”) in the immune system, which is carried out by cells he called macrophages (from the Greek for “big eaters”).
These cells engulf and clear away the debris caused by tissue damage and cell death. They are often regarded as the body’s silent, no-fuss housekeepers.
However, their role in cancer has often been overlooked. Unlike other immune cells that move through the blood and patrol the whole body, macrophages are “tissue-resident” and stay in one place.
A microscopic view of a melanoma tumour growing in the skin shows CD169 macrophages in green and yellow forming a biological boundary wall around the tumour. Keith et al. / Garvan Institute, CC BYEarlier studies of the role of macrophages in cancer assumed these housekeepers were all the same. But when we looked closely in the skin, it became clear that there were many different kinds of macrophages living in different layers.
One particular kind of macrophages (recognised by a protein called CD169) lives in a deeper part of the skin, called the hypodermis.
We found that these macrophages arranged themselves around the edges of a melanoma tumour, as if they were trying to wall it off. When we depleted the macrophages, the melanomas grew bigger, suggesting they were constraining the growth of the tumours.
Watching cancer cells being eaten alive
To understand what these CD169-positive macrophages were actually doing, we used an advanced imaging technique called intravital two-photon microscopy. This allows us to watch biological processes unfold in living tissue in real time.
What we saw was surprising: the macrophages were “nibbling” and actively engulfing live melanoma cells. While we had seen macrophages eat dead cells in our lab before, we had never seen them eat a live melanoma cell in a model organism.
What was even more surprising was that this immune attack was happening without the need for T cells, or antibodies made by another kind of immune cell called B cells – the immune players most commonly credited with fighting cancer.
We also confirmed this is not something that just happens in the lab. Our colleagues at the Melanoma Institute Australia analysed samples from human melanoma patients and found similar populations of CD169-expressing macrophages on the edges of the tumour, suggesting they may play a similar protective role there.
Calling in the cavalry – implications for therapies
Macrophages don’t just clear away debris. They can also alert the immune system to danger. After they have digested the debris, they can display it like a biological “red flag” to direct T cells to find and kill the cancer cells.
What makes a macrophage decide whether to silently dispose of debris without alerting the immune system, or wave the red flags to activate the immune system, is still unclear. Because the CD169-expressing macrophages are strategically positioned around the tumours, we suspect they may hold the key.
Macrophages are widespread in most solid tumours – including glioblastoma, breast cancer and many others. This is an army already in place waiting to be mobilised.
Our next step is to understand precisely how these macrophages eat live cancer cells and how they can communicate the danger to T cells, so we can harness this population with new treatments.![]()
Yuki Keith, Postdoctoral Researcher, Immunology, Garvan Institute and Tri Phan, Program Director – Precision Immunology / Laboratory Head, Garvan Institute
This article is republished from The Conversation under a Creative Commons license. Read the original article.
The cradle of Earth’s rich ocean life was a massive coral reef system 20 million years ago
New research published today in Science Advances reveals that the largest expansion of coral reefs in the past 100 million years happened about 20 to 10 million years ago, between Australia and Southeast Asia.
This vast reef system likely laid the foundations for the extraordinary diversity of marine life we see today.
Coral reefs are among the most diverse ecosystems on Earth. They support about a quarter of all marine species while covering less than 1% of the oceans. Yet scientists have long grappled with the question of how such immense diversity arose in the first place. Where did it begin, and what made it possible?
Our new study uncovers a turning point deep in Earth’s history – a time when reefs didn’t just grow, but expanded on a scale far beyond anything we see today. This expansion may have created the ecological space needed for modern coral reef life to flourish.
Coral reefs are major biodiversity hotspots. Ahmer Kalam/UnsplashAn enduring mystery
Biodiversity simply refers to the variety of life in a given place. On coral reefs, this diversity is staggering: thousands of species of fish, corals and other organisms coexist in tightly packed ecosystems.
However, despite decades of research, the origins of this richness have remained an enduring mystery.
Our new study reveals that changes in environmental, biological and tectonic conditions about 20 million years ago promoted the dramatic expansion of coral reefs across a region stretching between Australia and Southeast Asia.
Today, this area is known as the Indo-Australian Archipelago. It’s recognised as a global hotspot of marine biodiversity, especially in an area called the Coral Triangle.
The expansion of reefs in this area coincided with the emergence of many familiar reef organisms, including plating corals and iconic fish groups like parrotfishes.
To uncover this, we combined evidence from geological records, fossils and genetic data. Together, these independent lines of evidence allowed us to pinpoint when and where modern reef biodiversity began to take shape, without relying on any single source alone.
Results suggest reef expansion itself played a crucial role in generating biodiversity. As reefs grew larger, they likely created new habitats and ecological opportunities, allowing species to evolve and diversify.
We have now named this ancient network of reefs the Great Indo-Australian Miocene Reef System. The large reefs in this system were mostly built by corals and crustose coralline algae, an essential group of algae for holding together reef structures. These reefs also provided very important habitat for fish groups that we see on coral reefs today, such as surgeonfishes and butterflyfishes.
Remnants of an epic reef
Surprisingly, the region where this expansion occurred is not where the largest reefs are found today. Instead, reefs off northwestern Australia – including Ashmore Reef, Scott Reef, and the Rowley Shoals – may be remnants of what was once one of the largest reef systems to have ever existed.
Previous geological work has shown this ancient west Australian barrier reef rivalled the extent of the present-day Great Barrier Reef. The new findings go further, suggesting individual reefs within this system may have been far larger than any modern reef.
However, there are still uncertainties. Reconstructing ecosystems from millions of years ago requires combining incomplete records. Some aspects of reef size and how these ecosystems connected remain difficult to resolve, as the geological record only contains the remnants of entire reef systems.
But the overall pattern is clear. A massive expansion of reefs about 20 million years ago coincided with the rise of modern marine diversity.
The message is also simple. To understand where biodiversity is today, we need to look deep into the past. The richest ecosystems on Earth may owe their origins to places that no longer appear exceptional – hidden chapters of Earth’s history that continue to shape life in our oceans.![]()
Coral reefs support thousands of species in a small area. Francesco Ungaro/Unsplash
Alexandre Siqueira, ARC DECRA and Vice-Chancellor's Research Fellow, School of Science, Edith Cowan University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Birds and monkeys in the Amazon share information via ‘internet of the forest’: new research
Ettore Camerlenghi, Deakin University and Ari Martínez, University of California, Santa Cruz
You might go for a walk in the forest to disconnect from work and calm your nerves after a busy week. The chirping and calls of birds in the canopy above might be exactly what allows you to relax.
But what sounds soothing to humans may signal danger to other animals – and trigger fear across the forest.
In our research, published today in Current Biology, we show that when some animals spot a predator they issue a warning cry that is picked up by others and spread through the rainforest canopy. For a time, different species are linked into a shared information network, and parts of the forest briefly fall silent.
Birds and monkeys
During an expedition to a remote area of the Peruvian Amazon, working with a falconer, we used trained raptors to trigger warning calls from birds and primates. We recorded the calls then played them back into the forest and monitored how the community responded.
We already knew that birds sometimes repeat the warnings of others – occasionally even those of different species, or of primates. What we wanted to know was how widespread this behaviour is across the animal community.
We discovered that alarm calls produced by small bird species – those weighing less than 100 grams – were most often passed on. Other small birds living in the canopy were the most likely to relay the call, but other animals joined in too.
Larger species, including capuchin and spider monkeys, sometimes responded as well. Two canopy species in particular – the black-fronted and the white-fronted nunbirds – stood out as especially likely to repeat and propagate the warnings of their neighbours throughout the forest.
Sounds and silence
Alarm calls from species living in the forest understorey were far less likely to spread and be propagated by other birds or primates.
However, even when these alarm calls were not repeated, they changed the forest’s soundscape. Small canopy birds almost completely stopped singing after hearing a predator alert. At the same time, animals in lower forest layers often continued to make sounds despite the perceived threat.
Together, these findings suggest that the Amazonian canopy is not only the rainforest’s most mysterious layer – largely unexplored and home to much of its biodiversity – but also functions as an information highway, like a fibre-optic network through which animals rapidly share signals of danger.
A new layer of the ‘internet of the forest’
In the past decade, the idea of an “internet of the forest” has become popular through the concept of the “wood wide web”, where plants exchange resources and information via root systems and fungal networks. Our work points to another communication system, one operating high above the ground.
Suspended above our heads is a vast ecosystem where animals constantly listen to one another, forming an eavesdropping network that spreads critical information within seconds.
The vocal activity of birds is usually associated with finding mates and defending territories. However, we now know that sometimes this activity, or lack of it, may represent pulses of a soundscape of fear.
Next time you walk through a rainforest, look up and listen to the birds. A sudden silence may mean a raptor is gliding somewhere above the canopy.![]()
Ettore Camerlenghi, Associate Research Fellow, Avian Behaviour, Deakin University and Ari Martínez, Assistant Professor of Ecology and Evolutionary Biology, University of California, Santa Cruz
This article is republished from The Conversation under a Creative Commons license. Read the original article.
First Quantum Battery Prototype Marks Big Step for Technology Expected to Change the World

High-salt diet linked to faster memory decline in men: Study
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New Delhi, As tuberculosis (TB) continues as the deadliest infectious cause of deaths globally, a new study has shown that artificial intelligence (AI)-enabled digital stethoscopes can help fill critical screening gaps, especially in hard-to-reach areas.
The future remains bleak for corals – but not all reefs are doomed
A recent report on global tipping points warned that coral reefs face widespread dieback and have reached a point from which they cannot recover.
But in our new research, we show this might not be the case for some reefs if corals can gain tolerance to rising temperatures, or if we can cut greenhouse gas emissions and restore reefs with heat-tolerant corals at scale.
Nevertheless, the outlook likely remains bleak.
Coral reefs provide habitat for thousands of other species in tropical oceans. They deliver economic value through fisheries and tourism and provide shoreline protection from storm surges and extreme weather by dampening the impact of waves.
However, coral reefs are vulnerable to the effects of climate change. Our study combines previously published assessments of climate impacts on different coral reefs and reviews the scientific consensus to examine how long reef structures could persist as climate change intensifies.
Ocean warming, acidification, darkening and deoxygenation all threaten the persistence of coral reefs. Ocean warming brings marine heatwaves, which are the leading cause of mass coral bleaching that has led to a global decline in coral cover.
Corals are animals that house microalgae within their tissues that provide sugar in exchange for nitrogen. When temperatures become too hot, corals expel these symbiotic microalgae, leaving behind white skeletons.
Ocean acidification reduces the ability of corals to build their skeletons through a process called calcification. Warming, darkening and deoxygenation can also reduce calcification.
Coral reefs are built by adding calcium carbonate, coming mostly from corals but also coralline algae and other calcareous seaweeds. But as the ocean’s pH (a measure of acidity) is reduced, processes called bio-erosion and dissolution act to remove calcium carbonate.
Our meta-analysis examined how climate change affects the calcification and bio-erosion of coral reefs and we then applied these results to a global data set of reef growth.
There is no scientific consensus on which organisms will build future coral reefs. We explore four most likely scenarios:
1. Present-day extreme reefs represent the future of coral reefs. These are locations where temperatures are already warmer, waters are becoming more acidic and oxygen has dropped to conditions similar to those expected at the end of the century. These reefs are dominated by coralline algae and slow-growing heat-resistant corals.
Some reefs already experience conditions expected at the end of the century. Steeve Comeau, CC BY-NC-ND2. Presently degraded reefs take over future reefs. These reefs are dominated by bio-eroders such as sponges and sea urchins and have low coral cover.
3. Corals can gain heat tolerance to an extent that keeps pace with low to moderate greenhouse gas emissions scenarios. Under these scenarios, only about 36% of global corals would be lost and there would be a moderate reduction in growth. These heat-tolerant reefs are dominated by faster growing corals with symbiotic microalgae that can evolve heat tolerance.
4. Reefs where restoration practices include using heat-tolerant corals that can then disperse to other regions. These restored reefs would have lower coral cover in remote regions lacking restoration or with unsuccessful restoration practices. This kind of reef restoration would need to cover half of global coral reefs to maintain net growth – an unlikely scenario.
We found coral reefs transition to net erosion under all scenarios, even under low to moderate greenhouse gas emissions, meaning they are dissolving or being eaten faster than they can grow. Only reefs with heat-tolerant corals could prevent this from occurring.
The next step for the scientific community is to determine which reefs can persist in the future using global efforts to combine information. The major issues is that we are missing measurements from large parts of the Pacific, and we do not know how deoxygenation or coastal darkening will impact coral reefs. The processes of reef bioerosion and dissolution are also poorly described.
Although the climate has been altered to the point of threatening the future survival of coral reefs, their fate is not doomed yet if we act now.
Another question is how long reef structures will persist after living corals are removed. We do not have an answer yet. It will take global efforts to rapidly obtain these measurements to better manage and protect coral reefs before climate change intensifies.
It is up to governments everywhere, including New Zealand, to better support these initiatives before it is too late.![]()
Christopher Cornwall, Lecturer in Marine Biology, Te Herenga Waka — Victoria University of Wellington and Orlando Timmerman, Doctoral Candidate in Earth Sciences, University of Cambridge
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Animals can talk over huge distances – but humans might be changing their range
Animals are noisy. And their noises can travel a long way.
But making sounds can be a double-edged sword: it can help them communicate, sometimes over long distances, but it can also reveal them to predators.
In new research published in the Journal of Mammalian Evolution, my colleague and I studied how far the sounds of 103 different mammal species travel, and discovered some surprising patterns.
What’s more, these patterns hint at an overlooked impact humans may be having on our fellow creatures: not only changing their sonic landscapes through our own noise, but also changing the world their sounds are travelling through, with unknown effects.
What’s happening in the water?
In aquatic mammals, the relationship between the size of an animal and the farthest distance its call travels is simple. Bigger animals can be heard farther away.
On a perfect day in perfect conditions, the call of a blue whale (the largest animal in history) can travel up to 1,600 kilometres. Its (slightly smaller) cousin the fin whale can be heard over a similar distance.
These are the longest-travelling animal sounds ever reported.
What’s happening on land?
On land, the story is very different. Environmental factors are crucial to how far the sound of a terrestrial mammal travels.
Things that matter include the size of an animal’s home range (the area in which it lives and defends resources), whether a call is territorial (to defend against other animals), whether the environment is open versus densely vegetated, and if the animal is very social or solitary.
Lions call to announce their presence in the landscape and to defend territories. Ben JJ Walker / UNSW Sydney, CC BY-NC-ND
How does this work?
Our research is centred around the idea that your sound reveals you to predators, and that revelation leads to a higher risk of injury and death (potentially before you pass on your genes, and hence reducing what evolutionary biologists call “fitness”). This would be because the predator can more quickly locate its calling prey.
There is a delicate balance between using sounds to communicate and using sounds in the wrong place and at the wrong time.
If sound is revealed at the wrong distance, it may mess up the reason an animal uses the sound in the first place.
Animals that cannot adapt to changes in the sound environment may reveal themselves and be eaten, or may be unable to find their friends.
Where does this fit?
In the midst of human-induced environmental and species change, understanding how animals use sounds to communicate and find each other has become valuable to conservation. Many ecosystems are being cleared on land to make way for development and agriculture.
Our finding that land mammals in closed habitats have evolved to have relatively farther sound distances is important because of what happens when the environment changes.
If a possum has evolved in a eucalyptus forest, for example, and the forest is cleared, its sounds will travel farther (because there are fewer trees to muffle it). As a result, the possum may reveal itself to a predator when it doesn’t mean to.
This in turn means the animal’s call leaves it more exposed than it “should” in evolutionary terms. The animal may not have the same tools to escape predators that animals evolved for open environments do, and so may be more easily eaten.
What are humans doing?
Many species have reduced in body size due to things like harvesting activities and climate change.
It’s a well documented fact that many whale species have been getting smaller as a result of human whaling activities and environmental impacts.
Since 1981, for example, the length of northern right whales has become about 7% smaller. Among gray whales, animals born in 2020 are estimated to be 1.65 metres shorter than animals born in the 1980s.
Given our finding that larger body sizes mean farther-travelling sounds in aquatic mammals, smaller whales may not be able to be heard as far away.
This means that when smaller whales call to their friends or family members, their calls may not reach these individuals over the enormous distances the species travel.
What can humans change?
Our findings add a new dimension to our understanding of how humans are affecting animals, and may help inform future conservation decisions.
Do they mean anything in our everyday lives?
For one thing, they remind us to take a moment to listen to the world around us.
We might find out where an animal is. We might observe a new species.
We might even find a quiet space in the landscapes around us to sit and connect again with the world and ourselves.![]()
Ben JJ Walker, Researcher, UNSW Sydney
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Triceratops Had Huge Nose to Control its Body Temperature, Suggests Curious Scientist
Seishiro Tada with fossilized Triceratops – SWNS
SWNSMultiple Types of Plastic Are Turned into Vinegar Using Sunlight-Powered Process Without Emissions

AI could help us more accurately screen for breast cancer – new research
Sasun Bughdaryan/Unsplash
Carolyn Nickson, University of Sydney; The University of Melbourne and Bruce Mann, The University of MelbourneAt least 20,000 Australian women are diagnosed with breast cancer each year. And more than 3,300 die from the disease.
To save women’s lives, we need to detect breast cancer early. Breast screening, which halves women’s risk of dying from breast cancer, is key to that.
A new Australian study published today in The Lancet Digital Health suggests AI could help improve how we screen for breast cancer.
How do we currently screen for breast cancer?
Since 1992, Australia has offered free breast X-rays, known as mammograms, every two years to women aged between 50 and 74. Just over half of eligible women participate.
Of the women found to have cancer, about 25% are diagnosed between the biennial screens. These “interval cancers” are often aggressive and, unfortunately, more likely to be fatal.
In some cases, a more sensitive screening test may have detected them earlier.
The role of AI
Australia’s BreastScreen program was established in response to several major clinical trials conducted between the 1960s and 1980s. The screening technology used by the program has not substantially changed since then.
Researchers are now exploring risk-adjusted screening, which tailors screening to women based on their risk, as a way to detect more cancers earlier. This may include programs offering different technologies for women at higher risk of developing breast cancer.
Currently, we generally assess cancer risk via questionnaires that help identify if a woman has any risk factors associated with breast cancer.
One risk factor is breast density which refers to how much glandular tissue is in the breast. As well as being a risk factor for breast cancer, the higher a woman’s breast density, the harder it is to detect cancer on a mammogram.
We can also use one-off genetic testing to identify women with a higher lifetime risk of developing breast cancer. This involves looking for high-risk gene mutations such as BRCA1 and BRCA2, which are associated with increased breast and ovarian cancer risk. Genetic testing can also help us estimate a person’s lifetime risk of developing breast cancer.
More recently, researchers have been investigating artificial intelligence (AI) as a new approach to assess breast cancer risk. A new Australian study, published in The Lancet Digital Health today, focused on a specific AI tool known as BRAIx.
What did the study involve? And what did it find?
This study used an AI tool, known as BRAIx, trained using BreastScreen Australia data to help radiologists assess mammograms.
The study assessed how well BRAIx predicted women’s risk of developing breast cancer in the next four years, among women who had a clear mammogram.
Of the 95,823 Australian women assessed, 1.1% (1,098) had developed breast cancer in the four years after they received a clear mammogram. Of the 4,430 Swedish women assessed, 6.9% had developed breast cancer within two years of a clear screen.
The study findings show that BRAIx scores were very useful for identifying women who were more likely to develop cancer one to two years after having a clear screen. Findings from the Australian dataset suggest BRAIx scores identified cancers found three to four years later, but with less accuracy.
These findings suggest BRAIx could help identify women who might benefit from additional tests. This may include an MRI (which uses a magnetic field to produce images of organs and tissue) or contrast-enhanced mammography (which uses an iodine dye to improve the visibility of a regular mammogram).
These findings reinforce a 2024 Swedish study that used an AI-based risk assessment to select women for additional testing. The researchers referred 7% of women to have a follow-up MRI, and 6.5% of were found to have cancers missed by mammograms.
Does the study have any limitations?
As with most studies, yes. Here are two.
it’s difficult to compare BRAIx to genetic testing. This is because BRAIx is trained to find missed or emerging cancers over a four year period. In contrast, genetic testing identifies a person’s risk of developing cancer over their lifetime
it might not use the best breast density data. This study found BRAIx more accurately predicts breast cancer risk compared to assessments based on breast density. But this breast density data was collected using a different tool to those used by the Breastscreen program. So this finding should be interpreted carefully.
So, where to from here?
The study adds to a growing body of evidence that AI risk assessment could help breast screening programs find cancers earlier.
BRAIx is now being trialled as part of the BreastScreen Victoria program, to help read mammograms. And other states are already using and evaluating different AI tools for reading mammograms.
So it may be time for Australia to conduct a national, independent review of these new tools. As part of a more risk-adjusted approach to breast screening, they could save lives.![]()
Carolyn Nickson, Principal Research Fellow, Cancer Elimination Collaboration, University of Sydney; The University of Melbourne and Bruce Mann, Professor of Surgery, Specialist Breast Surgeon, The University of Melbourne
This article is republished from The Conversation under a Creative Commons license. Read the original article.
