How to Do It is Slate's sex advice column. Send it to Jessica and Rich here. We have sex two to three times a week, and it's wonderful. But I've been using AI tools for masturbation nearly every day. It's just so easy to explore wacky and fun scenarios (specifically in the fantasy and sci-fi genres) that I've found it dividing my attention from my girlfriend.

I've been thinking about creating something new, learning new things, increasing my portfolio project, but I didn't want to do something that someone else had already done. For no reason clearly, I wanted to do something related to lyrics. What about an API that brings the lyrics to a song? There are several projects that already do that, it would be just one more. What could I create, that "maybe" nobody had done yet?

Artist's impression of one of this study's superlative discoveries, the oldest known wide-separation white dwarf plus cold brown dwarf pair. The small white orb represents the white dwarf (the remnant of a long-dead Sun-like star), while the brown/orange foreground object is the newly discovered brown dwarf companion. This faint brown dwarf was previously overlooked until it was spotted by citizen scientists because it lies right within the plane of the Milky Way. How complete is our census of the Sun's closest neighbors? Astronomers and a team of data-sleuthing volunteers participating in Backyard Worlds: Planet 9, a citizen science project, have discovered roughly 100 cool worlds near the Sun -- objects more massive than planets but lighter than stars, known as brown dwarfs.

I find these questions very interesting. During some recent study, I wrote a response to a different question'Will having robots around make people more or less lonely? I postulated that we will be lonelier when Robots offer an alternative to Human friendships. Suitable human companions will not be available, to those who seek them, because those potential companions all have chosen robotic friends. We have to factor in our human nature into all AI related questions.

CytoReason's unmatched proprietary and public data, cutting-edge machine learning technologies, unique biological models and unrivalled analysis delivers: Only by understanding what human cells are doing in response to a disease, and its treatment, can we really understand how to better impact that disease. CytoReason's mission is to simulate the cells that can stimulate discovery of: We have developed a unique machine-learning driven approach to "seeing" the cells that can make the difference in patients seeing a better life. The insights our approach generates, enable pharmaceutical and biotech companies to make the right decisions, at the right time, in the drug discovery and development programs that bring better therapies. The immune system is a cell-based system. Gene-based studies can tell us a certain amount, but not the whole story.

Researchers have uncovered a 1,500-year-old stucco mask of Maya ruler K'inich Janaab'Pakal. What differentiates this mask from others is it's seemingly made in the king's likeness. An eagle-eyed archaeologist has used a freely available online map to locate 27 Maya ceremonial sites in Mexico. Takeshi Inomata, a professor of archaeology at the University of Arizona, made the discovery using a LiDAR (Light Detection and Ranging) map he found online last year, according to the New York Times. LiDAR technology harnesses a laser to measure distances to the Earth's surface and can prove extremely valuable to study what is hidden in areas with thick vegetation.

Before Josh McDermott was a neuroscientist, he was a club DJ in Boston and Minneapolis. He saw first-hand how music could unite people in sound, rhythm, and emotion. "One of the reasons it was so fun to DJ is that, by playing different pieces of music, you can transform the vibe in a roomful of people," he says. With his club days behind him, McDermott now ventures into the effects of sound and music in his lab at the Massachusetts Institute of Technology, where he is an assistant professor in the Department of Brain and Cognitive Sciences. In 2015, he and a post-doctoral colleague, Sam Norman-Haignere, and Nancy Kanwisher, a professor of cognitive neuroscience at MIT, made news by locating a neural pathway activated by music and music alone.

How materials for computer chips, solar panels, and batteries are developed looks to be in the early stages of a radical change. The same goes for research related to areas like superconductors and thermoelectrics. The new possibilities created by machine learning in materials science. "This is something that is set to explode in people's faces, as it were. Within the last five years, there has been a huge growth in materials science research teams using AI/machine learning techniques. The amount of scientific papers on the subject has been growing almost exponentially," says Dr. James Warren, director of the Materials Genome Program in the Material Measurement Laboratory of NIST.

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Earlier today, Alexion Pharmaceuticals was granted the licensing rights to operate GNS Healthcare's Reverse Engineering and Forward Simulation (REFS) casual machine learning and simulation platform. Alexion intends to use the platform to accelerate both the research of rare diseases and the development of novel therapies. Earlier this year, it was instrumental in finding a new target for breast cancer. In May, GNS published data in the American Association for Cancer Research's (AACR) journal Cancer Research in which they announced the discovery of novel targets, including TRIB1, which had positive implications for the treatment of triple-negative breast cancer. In June, it was announced that the company would be teaming up with Genentech to improve the capability to clarify disease mechanisms, recognize new targets, and diagnose patient populations more accurately.