Two climate activists in Australia have brought the world’s busiest coal port to a halt, strapping themselves to a massive piece of machinery and refusing to come down. The stunt follows more than a week of similar actions.

Blockade Australia, a climate group focused on “strategic direct action,” declared that two of its members had clambered atop equipment at the Port of Newcastle and stopped work there late Tuesday night, sharing footage captured by the activists as they suspended themselves from a large loading machine.

“Zianna and Hannah have shut down Newcastle coal port, abseiling from coal handling machinery. The port cannot resume operations until the pair are removed by police,” the group said, identifying the activists by their first names only, adding “This is the tenth consecutive day of disruption to Newcastle coal port and its supply rail network.”

The protest stunt follows at least 16 similar actions over the last week or so, the group said, some targeting the rail line near the port, the world’s largest for coal exports.

Another demonstration carried out on Tuesday saw a second pair of activists breach the port and “hit emergency stop buttons” on machines before strapping themselves to a different piece of equipment. They were brought down and arrested after “several hours” and are expected to appear in court in the coming days.

The disruptions have drawn the ire of state officials, with New South Wales Environment Minister Matt Kean calling them “completely out of line” and urging police to “throw the book” at the protesters, at least 19 of whom have already been arrested so far this month, according to ABC.

“Pull your heads in, get out of the way and stop hurting other people going about their lives, running their businesses,” the minister said during a radio interview on Wednesday. “There are hundreds of ways to make your views known and advocate for change, but risking the lives of rail workers is definitely not one of them.”

The activists could face charges that carry maximum sentences of 25 years in prison, NSW police commissioner Mick Fuller said, noting that local law enforcement has created a “strike force” to deal with future disturbances at the port.

READ MORE: The trillion dollar push to decarbonize global shipping

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Scientists have used artificial intelligence to “predict” formulas for new designer drugs, with the stated goal of helping to improve their regulation. The AI generated formulas for nearly nine million potential new drugs.

Researchers with the University of British Columbia (UBC) used a deep neural net for the job, teaching it to make up chemical structures of potential new drugs. According to their study, released this week, the computer intelligence fared better at the task than the scientists had expected.

The research team used a database of known designer drugs – synthetic psychoactive substances – to train the AI on their structures. The market for designer drugs is ever-changing, since their manufacturers are constantly tweaking their formulas to circumvent restrictions and produce new “legal” substances, while cracking their structure takes months for law enforcement agencies, the researchers said.

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“The vast majority of these designer drugs have never been tested in humans and are completely unregulated. They are a major public-health concern to emergency departments across the world,” one of the researchers, UBC medical student Dr. Michael Skinnider has said.

After its training, the AI was able to generate some 8.9 million potential designer drugs. Afterwards, researchers ran a data sheet of some 196 new drugs, which had emerged in real life after the model was trained, and found that more than 90% of these have been already predicted by the computer.

“The fact that we can predict what designer drugs are likely to emerge on the market before they actually appear is a bit like the 2002 sci-fi movie, Minority Report, where foreknowledge about criminal activities about to take place helped significantly reduce crime in a future world,” senior author Dr. David Wishart, a professor of computing science at the University of Alberta, has said.

Identifying completely unknown substances remains an issue for the AI, the research team has noted, but they hope it might potentially help with that task, since the computer was also able to predict which formulas of designer drugs were more likely to be created and hit the market. The model “ranked the correct chemical structure of an unidentified designer drug among the top 10 candidates 72 percent of the time,” while throwing in spectrometry analysis, which is an easily obtained measurement, bumped the accuracy to some 86%.

“It was shocking to us that the model performed this well, because elucidating entire chemical structures from just an accurate mass measurement is generally thought to be an unsolvable problem,” Skinnider stated.

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