Sex comprises an intricate tangle of impulses and interactions between partners. Neuroscientists have learned a great deal about the neural mechanisms underlying sex, but questions about the processes that control the sequence of events during sex remain unanswered. While past research has identified the regions of the brain that control how mice initiate sex, other steps of copulation are still mysteries. A team of researchers in China and Japan have investigated which brain regions and neurotransmitters are responsible for different phases during sex. A paper published March 19 in the journal Neuron describes what exactly goes on in a mouse brain during sex.

Earlier this month, Miles Zimmerman, a 31-year-old programmer from San Francisco, was messing around with Midjourney, the AI-powered tool that generates images with a simple text prompt, and having his mind blown. One of his prompts, which he created with the help of ChatGPT, was extremely detailed: "A candid photo of some happy 20-something year-olds in 2018 dressed up for a night out, enjoying themselves mid-dance at a house party in some apartment in the city, photographed by Nan Goldin, taken with a Fujifilm Instax Mini 9, flash, candid, natural, spontaneous, youthful, lively, carefree, -- ar 3:2." At first, Zimmerman was astonished at the level of detail. Faces, skin, hair, and clothes looked photorealistic -- although slightly plastic, as later pointed out by some observers -- and the expressions were exactly what he had asked for. But the closer he looked, the weirder the pictures seemed.

How to estimate heterogeneity, e.g. the effect of some variable differing across observations, is a key question in political science. Methods for doing so make simplifying assumptions about the underlying nature of the heterogeneity to draw reliable inferences. This paper allows a common way of simplifying complex phenomenon (placing observations with similar effects into discrete groups) to be integrated into regression analysis. The framework allows researchers to (i) use their prior knowledge to guide which groups are permissible and (ii) appropriately quantify uncertainty. The paper does this by extending work on "structured sparsity" from a traditional penalized likelihood approach to a Bayesian one by deriving new theoretical results and inferential techniques. It shows that this method outperforms state-of-the-art methods for estimating heterogeneous effects when the underlying heterogeneity is grouped and more effectively identifies groups of observations with different effects in observational data.

When the U.S. began locking down to slow the spread of the coronavirus, Amazon, grocery stores, and wholesale stores like Costco saw an enormous uptick in consumers wanting to buy a few select items. On Amazon, during the week of April 12th to 18th, the top ten search queries were face masks and N95 masks, hand sanitizer, paper products like paper towels and toilet paper, and sanitizing solutions like Lysol spray and Clorox wipes. So many people bought face masks that April's new #1 selling product on Amazon was "Face Mask, Pack of 50". This trend occurred across every single consumer- and business-facing industry and vertical. Consumers started behaving erratically literally overnight, and they haven't stopped behaving abnormally, creating a massive problem for companies who employ artificial intelligence (AI) and machine learning models.

In May 2017, the LGBT organization GLAAD posted a video on YouTube of actress Debra Messing receiving an award. In Messing's acceptance speech, she praised many Americans for supporting one another and reminisced about the show she starred in, NBC's CMCSA, 0.36% "Will and Grace," and its influence on telling the stories of members of the gay community. She also called on members of the Trump administration to "do right" by the LGBT community, by removing Steve Bannon (who has since left) from his post as President Donald Trump's chief strategist. She did not specify what her criticism of Bannon was. She also said in her speech that Ivanka Trump should work for "women's issues."

The person who uploads a particular video to, say, YouTube doesn't even need much of a following in order for the video to garner enough attention to be shared over and over and attract people to leave so many comments (both negative and positive) that one person cannot simply sift through them fast enough. Last May, this happened to the Gay and Lesbian Alliance Against Defamation, also known as GLAAD. The organization posted a video of actress Debra Messing accepting GLAAD's Excellence in Media Award for her work in helping push an agenda for equality in the film and television industry. In her speech, Messing pushed for the Trump administration to "do right" by the LGBTQ community by removing certain staff members and focusing on laws that reflect equality. After posting the video on its YouTube channel, GLAAD received an outpouring of comments from people who had something negative to say about Messing and her speech.

In every sci-fi depiction of an eventual robot apocalypse, the mechanical monstrosities move with cold, calculated precision, dispatching or enslaving humanity with a complete lack of sympathy and no second guessing. But what if robots could actually worry? What if mechanical minds didn't know anything with certainty, and lacked the confidence to push forward with risky actions? A team of AI researchers from the University of California at Berkeley think that giving robots built-in anxiety might actually help keep them in line, according to BGR. The scientists built a mathematical model simulating the interaction between a robot and a human being.

In every sci-fi depiction of an eventual robot apocalypse, the mechanical monstrosities move with cold, calculated precision, dispatching or enslaving humanity with a complete lack of sympathy and no second guessing. But what if robots could actually worry? What if mechanical minds didn't know anything with certainty, and lacked the confidence to push forward with risky actions? A team of AI researchers from the University of California at Berkeley think that giving robots built-in anxiety might actually help keep them in line. The scientists built a mathematical model simulating the interaction between a robot and a human being.

When it comes to defending against pesky drones, the French military has gone to the birds. These drone-hunting birds of prey are being trained at a French Air Force base in Southwestern France. They're literally born on top of drones, and kept there during early stages of feeding. When they're ready to fly, they're brought to a field to intercept drones. In turn, they're rewarded with meat.

First of all it might be useful to explain what OpenAI Gym actually does: OpenAI Gym aims to provide an easy environment to develop and test reinforcement learning algorithms. To be clear, OpenAI Gym doesn't power any algorithms itself, leaving it up to more specialised packages like TensorFlow or Theano. So what makes this the ultimate geek toy for AI-researchers? Well, this is because of the many environments OpenAI Gym provides, one of them being the'atari' environment. That's right, you can test the performance of your reinforcement learning algorithms on a variety of different atari games and what's more, you can automatically upload the performance of your algorithms and compare them to other people's approaches.