Today at Nvidia GTC 2019, the company unveiled a stunning image creator. Using generative adversarial networks, users of the software are with just a few clicks able to sketch images that are nearly photorealistic. The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age. — Tech Crunch

To train the model, he identified known locations of tree canopy using lidar data and NAIP imagery over California. Using that as ground truth, the model was trained to classify which pixels contain trees in the corresponding satellite images. The result is a machine-learning model that has learned to identify trees just using four-band high-resolution (~1 meter) satellite or aerial imagery—no lidar required! — Medium

With industrial robotics forecast to be worth $71.72 billion by 2023, it’s no wonder entrepreneurs are turning their attention to increasingly lucrative sectors, like warehouse automation, order fulfillment, and manufacturing.

Tel Aviv-based Intsite is one of the latest examples. The startup today announced a $1.35 million pre-seed round led by Terra Venture Partners and the Israel Innovation Authority to fund what it claims is the world’s first autonomous crane technology. — Venture Beat

Today you can have a fully connected home complete with sensors to monitor temperature, humidity, air quality, energy usage, and more, and check in on almost any appliance from anywhere in the world with just a smartphone. But even with all of the various connected appliances, virtual assistants, and copious sensors that can be installed in a modern smart home, the “smart” side of things is still rather lacking. — The Verge

Taken as whimsical follies by the design press and broader culture, Amazon's architectural and logistical patents are altogether more sinister, signalling new, automated urban ambitions. [...]

While some of these patents could be marked as routine publicity stunts, lurking beneath Amazon’s bravado is an obsession with organisation and productivity: oriented towards abstract users, measured in data, and governed by algorithms. — Failed Architecture

Using lidar-equipped robots, Doxel scans construction sites every day to monitor how things are progressing, tracking what gets installed and whether it’s the right thing at the right time in the right place. You’d think that construction sites would be doing this by themselves anyway, but it turns out that they really don’t, and in a recent pilot study on a medical office building, Doxel says it managed to increase labor productivity on the project by a staggering 38 percent. — IEEE Spectrum

Even within the polygon abstraction of the simulation the AI uses to know the world, there are traces of human dreams, fragments of recollections, feelings of drivers. And these components are not mistakes or a human stain to be scrubbed off, but necessary pieces of the system that could revolutionize transportation, cities, and damn near everything else. — The Atlantic

You simply start drawing your best version of a pizza, or house, or dog, or birthday cake and the algorithms try to figure out what it is that you’re trying to draw. It then tries to match your squiggles with drawings in its database, and if it finds any possible matches, it’ll show them in a list at the top of your virtual canvas. If you like one of those options, you simply click on it and AutoDraw replaces your amateurish creation with something a bit slicker. — techcrunch.com

computer vision and artificial intelligence are the keys to a debate behind a door that’s been locked for a long time: the social impact of design in cities. [...]

"Now that we have new tools to measure aesthetics, we can estimate its consequences" [...]

[MIT Media Lab associate professor Cesar Hidalgo] wants to develop more empirical ways to study cities and the way they’re perceived—and, in turn, provide better science to the policy-makers who shape legislation. — fastcodesign.com

These exponential advances, most notably in forms of artificial intelligence, will prove daunting for as long as we continue to insist upon employment as our primary source of income. The White House, in a stunning report to Congress this week, put the probability at 83 percent that a worker making less than $20 an hour in 2010 will eventually lose his job to a machine. Even workers making as much as $40 an hour face odds of 31 percent. — bostonglobe.com

U.S. vehicle safety regulators have said the artificial intelligence system piloting a self-driving Google car could be considered the driver under federal law [...]

"NHTSA will interpret 'driver' in the context of Google's described motor vehicle design as referring to the (self-driving system), and not to any of the vehicle occupants" [...]

Google told NHTSA that the real danger is having auto safety features that could tempt humans to try to take control. — reuters.com

"I'm very interested in using voice and face recognition to set lights and temperature as well depending on who is in what rooms, etc," he writes. [...]

The really interesting part of Zuckerberg's AI plan is when it moves past standard smart home controls and into his work. Describing the "simple AI" that he intends to build, Zuckerberg writes, "On the work side, it'll help me visualize data in VR to help me build better services and lead my organizations more effectively." — theverge.com

Tokyo-based Robot Taxi ... is still on track to start field tests of its driverless taxi service in one region of Japan by the end of next March [...]

The company, a joint venture between DeNA (one of Japan’s mobile internet pioneers) and ZMP (a robotics firm; tagline “Robot of Everything”) is not building its own cars from scratch. Instead, it’s focusing on adding driverless capabilities to existing cars and designing, creating, and marketing the taxi service. — qz.com