James' World 2

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On Sunday morning, Dec. 7, 1941, Mess Attendant 2nd Class Jesus Garcia, stationed aboard the USS Oklahoma, was preparing to go to mass.

Just before 8 a.m., Japanese dive bombers launched their surprise attack on Pearl Harbor and the battleship, crippled by torpedoes, began to capsize. Some crew members jumped into a sea of burning oil to escape or crawled across mooring lines to safety.

In the ensuing hours, rescuers freed others trapped inside by drilling through the hull and hatches. But roughly half the crew of 864 men were entombed, some of the first American casualties of World War II. Among them was Garcia, 21, who had joined the Navy on the U.S. territory of Guam.

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When I first adopted Lucas nine years ago from a cat rescue organization in Washington, D.C., his name was Puck. “Because he’s mischievous,” his foster mother said. Although we changed the name, her analysis proved correct. Unlike his brother Tip, whom I also adopted, a gray cat with white paws and an Eeyore-ish dour doofy sweetness, Lucas was from the start a fierce black fireball, a menace to stray toes or blanket fringes or loose items on tabletops. He was my alarm clock in the morning with his habit of knocking my hairbrush, deodorant, and earrings box off my bureau until I got up to feed him.

Then, almost four years ago, my husband and I had a child. Lucas, no longer the most important small creature in the apartment, retreated to the top shelf of his cat tree, where he would lie all day, staring morosely over the edge. When he did want attention, his solicitations became aggressive. Instead of waiting until 7 a.m. to start knocking things off of the bureau, he started hopping up there at 4 a.m. We closed the bedroom door and were still woken up at 4 every day by Lucas rattling the doorknob or hurling the weight of his 13-pound body against it. At mealtimes, he would gobble down his food and then shove Tip out of the way to eat Tip’s food. He started marking the carpets in our living room and my son’s room, and his play with Tip turned more violent too.

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Illustration by Jackie Ferrentino.

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Among the smartest animals on Earth, octopuses are unique for being utterly weird in their evolutionary path to developing those smarts. Philosopher Peter Godfrey-Smith has called the octopus the closest thing to an alien that we might encounter on Earth, and their bizarre anatomy speaks to this: An octopus’ mind isn’t concentrated in its head but spread throughout its body. Their tentacles are packed with neurons that endow each one with a hyperaware sense of touch, as well as the ability to smell and taste. Marine biologists have remarked that each tentacle sometimes seems like it has a mind of its own. Every octopus is a tactile thinker, constantly manipulating its surroundings with a body so soft it almost seems liquid. 

All of these things are surprising, at least in theory, because scientists have learned to associate intelligence with vertebrates and a tendency to socialize. Octopuses are either asocial or partially social — and all of them are invertebrates. This raises an obvious question: How did octopuses become so smart?

Scientists know surprisingly little about this subject, as a great deal of the research on octopus neuroanatomy up to this point has focused on one species, the European common octopus (Octopus vulgaris) — which has about as many neurons in its body as a dog. Thanks to the scientists behind a new study in the scientific journal Current Biology, we now know more about the neural wiring of four very different types of octopuses (or, in one case, octopus-like animals): the vampire squid (Vampyroteuthis infernalis), which dwells in the deep sea and is technically neither an octopus nor a squid; the blue-lined octopus (Hapalochlaena fasciata), a venomous creature that keeps to itself while roaming the ocean at night; and “two diurnal reef dwellers,” Abdopus capricornicus and Octopus cyanea (also known as the day octopus). 

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Octopus (Getty Images/sko)

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The Beresheet crash-landed on Earth’s Moon in 2019. Part of the ill-fated Israeli lunar lander’s payload was a bunch of tardigrades, or “water bears.” These organisms are under a millimeter long and can survive extreme cold and radiation by expelling nearly all their moisture before entering a nearly death-like state. The Beresheet tardigrades may have survived the crash and could, potentially, be resurrected by being reintroduced to water.

The tardigrades—sometimes called moss piglets—are safely asleep and probably not running amok on the surface of the Moon. But, in general, scientists, governments, and space agencies around the world agree that bringing Earth’s life to extraterrestrial locales, or vice versa, isn’t great.

A new paper builds on the growing body of literature about this cosmic no-no and draws on the burgeoning field of invasion science—the research of how, on Earth, non-native species spread to and alter new locations. The zebra mussel’s spread across North America through its ability to outcompete native species is a classic example.

Right now, when it comes to other celestial bodies, humans are more likely to find or introduce microorganisms rather than filter-feeders (or anything big). “The ecosystem concept is a very general concept. It doesn’t just apply to lakes or forests,” Anthony Ricciardi—a McGill University biologist and one of the authors of the paper—told Ars.

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Europa could harbor complex life, and we’ll have to take care to avoid any cross-contamination.

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Electric vehicles have the potential to substantially reduce carbon emissions, but car companies are running out of materials to make batteries. One crucial component, nickel, is projected to cause supply shortages as early as the end of this year. Scientists recently discovered four new materials that could potentially help—and what may be even more intriguing is how they found these materials: the researchers relied on artificial intelligence to pick out useful chemicals from a list of more than 300 options. And they are not the only humans turning to A.I. for scientific inspiration.

Creating hypotheses has long been a purely human domain. Now, though, scientists are beginning to ask machine learning to produce original insights. They are designing neural networks (a type of machine-learning set up with a structure inspired by the human brain) that suggest new hypotheses based on patterns the networks find in data instead of relying on human assumptions. Many fields may soon turn to the muse of machine learning in an attempt to speed up the scientific process and reduce human biases.

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Machine learning techniques can help researchers develop novel hypotheses. Credit: Getty Images

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