політика, бізнес, народ

A reedy pipe and a high-pitched trill duet against the backdrop of a low-pitched insect drone. Their symphony is the sound of a forest and is monitored by scientists to gauge biodiversity.

The recording from the forest in Ecuador is part of new research looking at how artificial intelligence could track animal life in recovering habitats.

When scientists want to measure reforestation, they can survey large tracts of land with tools like satellite and lidar.

But determining how fast and abundantly wildlife is returning to an area presents a more difficult challenge — sometimes requiring an expert to sift through sound recordings and pick out animal calls.

Jorg Muller, a professor and field ornithologist at University of Wurzburg Biocenter, wondered if there was a different way.

“I saw the gap that we need, particularly in the tropics, better methods to quantify the huge diversity… to improve conservation actions,” he told AFP.

He turned to bioacoustics, which uses sound to learn more about animal life and habitats.

It is a long-standing research tool, but more recently is being paired with computer learning to process large amounts of data more quickly.

Muller and his team recorded audio at sites in Ecuador’s Choco region ranging from recently abandoned cacao plantations and pastures to agricultural land recovering from use to old-growth forests.

They first had experts listen to the recordings and pick out birds, mammals and amphibians.

Then, they carried out an acoustic index analysis, which gives a measure of biodiversity based on broad metrics from a soundscape, like volume and frequency of noises.

Finally, they ran two weeks of recordings through an AI-assisted computer program trained to distinguish 75 bird calls.

More recordings needed

The program was able to pick out the calls on which it was trained in a consistent way, but could it correctly identify the relative biodiversity of each location?

To check this, the team used two baselines: one from the experts who listened to the audio recordings, and a second based on insect samples from each location, which offer a proxy for biodiversity.

While the library of available sounds to train the AI model meant it could only identify a quarter of the bird calls the experts could, it was still able to correctly gauge biodiversity levels in each location, the study said.

“Our results show that soundscape analysis is a powerful tool to monitor the recovery of faunal communities in hyperdiverse tropical forest,” said the research published Tuesday in the journal Nature Communications.

“Soundscape diversity can be quantified in a cost-effective and robust way across the full gradient from active agriculture to recovering and old-growth forests,” it added.

There are still shortcomings, including a paucity of animal sounds on which to train AI models.

And the approach can only capture species that announce their presence.

“Of course (there is) no information on plants or silent animals. However, birds and amphibians are very sensitive to ecological integrity, they are a very good surrogate,” Muller told AFP.

He believes the tool could become increasingly useful given the current push for “biodiversity credits” — a way of monetizing the protection of animals in their natural habitat.

“Being able to directly quantify biodiversity, rather than relying on proxies such as growing trees, encourages and allows external assessment of conservation actions, and promotes transparency,” the study said.

 
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The U.S. Commerce Department on Tuesday tightened its export controls to keep China from acquiring advanced computer chips that it could use to help develop hypersonic missiles and artificial intelligence.

Commerce Secretary Gina Raimondo said the new controls are “intended to protect technologies that have clear national security or human rights implications.”   

The new controls could increase tensions between the United States, the world’s biggest economy, and No. 2 China. In recent talks over several months with high-ranking U.S. officials, Beijing had appealed for “concrete actions” from Washington to improve relations between the two countries, although U.S. officials warned that the new export rules were in the offing.

Raimondo told reporters, “The vast majority of [the sale of] semiconductors [to China] will remain unrestricted. But when we identify national security or human rights threats, we will act decisively and in concert with our allies.”

The Commerce Department said the new restrictions came after consultations with U.S. chip manufacturers and conducting technological analyses.

The new controls allow the monitoring of the sale of chips that could still be used for military aims, even if they might not specifically meet the thresholds for trade limitations. The U.S. said chip exports can also be restricted to companies headquartered in Macao, a Chinese territory, or other countries under a U.S. arms embargo, to prevent them from circumventing the controls and providing chips to China.

The updated restrictions, an expansion of export controls announced last year, also make it more difficult for China to manufacture advanced chips abroad. The list of manufacturing equipment that falls under the export controls has also been expanded, among other changes to the policy.

China protested last year’s export controls, viewing the design and manufacture of high-level semiconductors as essential for its economic growth. Raimondo has said the limits on these chips are not designed to impair China’s economy.  

Chinese government officials are scheduled to go to San Francisco in November for the Asia-Pacific Economic Cooperation summit.

U.S. President Joe Biden has suggested he could meet on the sidelines of the summit with Chinese President Xi Jinping, though a meeting has yet to be confirmed. The two leaders met last year following the Group of 20 summit in Bali, Indonesia, shortly after the export controls were announced.

Some material in this report came from The Associated Press.
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Artificial Intelligence is being used to create musical “deepfakes” – songs that sound like one artist but were made by a computer. Deana Mitchell brings us the story of one artist who is engaging with machine learning to create new kinds of music.
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