The flotation pod is smaller than I'd expected. It's white and round like an egg and, at first glance, seems like it couldn't be any longer than I am tall. Sitting in a tiled treatment room at a day spa in Carroll Gardens, the pod looks incongruous, like someone left an oversize computer mouse in a bathroom. I'm here, at a place called Lift Floats, to try sensory-deprivation flotation -- a Sixties throwback technology, invented by the neuroscientist John C. Lilly (best remembered today as the guy who came up with oddball experiments to study human-dolphin communication), that has lately regained popularity, particularly among athletes and Silicon Valley types. After being shown to the room, I shower, enter the pod naked, and close the lid. I lie back as the pod starts to play gentle music and the faint LED lights bathe the water in colors.

On Tuesday, Jen Golbeck shut down a mansplainer who suggested that Golbeck learn how to use the computer program Java. You know why Golbeck was not having this mansplaining BS? Because she's a goddamn computer scientist who teaches programming classes as a professor at the University of Maryland. I can't tell you how frustrating shit like this is. Especially having to deal with comments like this over and over and over," Golbeck wrote on Twitter with a screenshot of her exchange with the mansplainer attached.

It was a bit surprising, on Tuesday morning, to see Google's C.E.O., Sundar Pichai, stride onstage in San Francisco's Ghirardelli Square and start talking about the quality of Google's software and the information it brings to people. The event had been billed as a presentation of new hardware devices; some were even describing it as the most significant event of its kind that Google had ever held. And yet, there was Pichai, going on about how Google's software allows people to connect with "over seventy billion facts about people, places, and things." Only at the end of this speech did he get to a hardware-related point: all this impressive software would be embedded in Google's new devices. Google is in the middle of an awkward transition.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Google has long been the king of search, building its empire by answering questions, giving directions and helping people settle arguments with its vast database of facts. But as more people search using their voice -- verbally asking questions to Apple's Siri or Amazon Echo's Alexa -- instead of typing queries into their phones or laptops, the tech giant risks ceding some of that dominance. To future-proof itself from competitors, the Mountain View, Calif., tech firm announced Tuesday a new slate of electronic devices that support voice search and come pre-installed with Google Assistant, the company's artificial intelligence bot that can do a wide variety of things, including answering queries and making restaurant reservations. "[Google Assistant] will be a two-way conversation, a natural dialogue between our users and Google," said Sundar Pichai, Google's chief executive. "It will be universal, available when users need it to help them. Our goal is to build a personal Google for each and every user."

In his experiment, Queen Mary University of London researcher Sylvian Alem attached a fake flower sprinkled with sugar water to the end of a string, placed it under a transparent sheet of glass and then put a group of bumblebees to a test. If he trained them to pull the string to get the sugar water, would they be able to learn it – and spread the skill to their colony? When Lars Chittka, a professor at the university, saw the experiment, he was surprised. "What I like about the work," Dr. Chittka said in a press release, "in addition to the experimental and intellectual challenges and insights, is the sheer absurdity of seeing bees solving a string-pulling puzzle. When lead author Sylvain Alem first showed me a bee successfully pulling on the string, I just couldn't believe what I was seeing. And even now, looking at the videos still makes me laugh."

This week, 16 teams of teens from around the world assembled in Mountain View to demonstrate the results of research projects at the Google Science Fair. You can view summaries of all the projects here. I've been attending these finals for several years now and am always impressed with how creatively the teens use the technologies of today. And this year was no exception: machine learning is hot in the tech world, and the teens are embracing it. A Silicon Valley girl from Cupertino, Calif., Cheerla was curious about the current state of breast cancer prediction, and discovered that prediction methods using digital mammograms are just 64 percent effective, typically simply considering the percentage of dense tissue in a breast.

Google has a plan to speed up robotic learning, and it involves getting robots to share their experiences and collectively improve their capabilities. Sergey Levine from the Google Brain team, along with collaborators from Alphabet subsidiaries DeepMind and X, published a blog post on Monday describing an approach for "general-purpose skill learning across multiple robots." Teaching robots how to do even the most basic tasks in real-world settings like homes and offices has vexed roboticists for decades. To tackle this challenge, the Google researchers decided to combine two recent technology advances. The first is cloud robotics, a concept that envisions robots sharing data and skills with each other through an online repository.

Artificial intelligence can do remarkable things, like recognize faces on social networks, instantly translate speech from one language to another, and identify commands barked into a smartphone. But it also can do stupid things, like label an African-American couple "gorillas." The artificial intelligence underpinning Google Photos did just that last year. The platform uses deep neural networks to identify images in your photo collection. These networks of hardware and software, modeled after the network of neurons in your brain, learn to recognize objects, animals, and faces by analyzing many millions of pre-labeled photos.