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If you want to find something that’s invisible except for its gravitational effects, look down the steepest gravity wells in the universe.

Apple may not be as flashy as other companies in adopting artificial intelligence features. Still, the already has a lot of smarts scattered throughout iOS.

Apple does not go out of its way to specifically name-drop “artificial intelligence” or AI meaningfully, but the company isn’t avoiding the technology. Machine learning has become Apple’s catch-all for its AI initiatives.

Apple uses artificial intelligence and machine learning in iOS in several noticeable ways. Here is a quick breakdown of where you’ll find it.

An international team of scientists has found a crucial link between the chemistry of Earth’s deep mantle and its early atmosphere. The study uncovers new insights into the evolution of life on our planet and the surge of atmospheric oxygen.

The scientists focused their investigation on magmas formed in ancient subduction zones, areas where portions of Earth’s crust sink back into the mantle.

The experts examined a critical juncture in Earth’s history known as the Great Oxidation Event (GOE), which occurred between 2.1 and 2.4 billion years ago.

Bottom-up processing is an explanation for perceptions that start with an incoming stimulus and work upward until a representation of the object is formed in our minds. This process suggests that our perceptual experience is based entirely on the sensory stimuli that we piece together using only data that is available from our senses.

In order to make sense of the world, we must take in energy from the environment and convert it to neural signals, a process known as sensation. It is in the next step of the process, known as perception, that our brains interpret these sensory signals.

How exactly do people process perceptual information from the world around them? There are two basic approaches to understanding how this sensation and perception take place. One of these is known as bottom-up processing and the other is known as top-down processing.

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Rice University scientists are starting small as they begin to figure out how to build an artificial brain from the bottom up.

Electrical and computer engineer Jacob Robinson of Rice’s Brown School of Engineering and Celina Juliano, an assistant professor of molecular and cellular biology at the University of California, Davis, have won a $1 million Keck Foundation grant to advance the team’s synthetic neurobiology effort to define the connections between neurons and muscles that drive programmed behaviors in living animals.

To begin with, Robinson and his colleagues are putting their faith in a very small animal, the freshwater cnidarian Hydra vulgaris, a tiny tentacled creature that has long been a focus of study in the Robinson and Juliano labs. Because they are small, squishy and transparent, they’re easy to manipulate and measure through Robinson’s custom microfluidic platforms.

A neurosurgeon in Australia pulled a wriggling 3-inch roundworm from the brain of a 64-year-old woman last year—which was quite the surprise to the woman’s team of doctors and infectious disease experts, who had spent over a year trying to identify the cause of her recurring and varied symptoms.

A close study of the extracted worm made clear why the diagnosis was so hard to pin down: the roundworm was one known to infect snakes—specifically carpet pythons endemic to the area where the woman lived—as well as the pythons’ mammalian prey. The woman is thought to be the first reported human to ever have an infection with this snake-adapted worm, and it is the first time the worm has been found burrowing through a mammalian brain.

When the woman’s illness began, “trying to identify the microscopic larvae, which had never previously been identified as causing human infection, was a bit like trying to find a needle in a haystack,” Karina Kennedy, a professor at the Australian National University (ANU) Medical School and Director of Clinical Microbiology at Canberra Hospital, said in a press release.