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Main Street Renewal is an arm of Amherst Holdings, a real estate investing firm with $20 billion under management. It owns or manages some 16,000 single-family homes, scattered across the Midwest and the Sunbelt. That portfolio makes Amherst one of the biggest, fastest-growing players in institutionally owned rental homes, a $45 billion subsector of the real estate industry that barely existed before the Great Recession. — Fortune
Shawn Tully profiles Amherst Holdings and it's CEO Sean Dobson a "Texan data savant", who plans to use "digitally driven bargain hunting" and "Economies of scale" to "get to 1 million homes in the next 15 years or so." View full entry
The ai-art gold rush began in earnest last October, when the New York auction house Christie’s sold Portrait of Edmond de Belamy, an algorithm-generated print in the style of 19th-century European portraiture, for $432,500.
Bystanders in and out of the art world were shocked. The print had never been shown in galleries or exhibitions before coming to market at auction, a channel usually reserved for established work.
— The Atlantic
With the attention that AI has garnered in the last few years, it was only a matter of time before the capital behind art would seep its way onto the field. With contemporary art forever changed after the 1973 Scull auction, we may now find ourselves at the next nexus of the art world and its mean... View full entry
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
The GauGAN image creation system Nvidia presented this week is an impressive foreshadowing of AI's rapid advancement into creative fields, like art and architecture—and a frightening example of the increasing ease of producing (nearly) photorealistic inauthentic imagery. Screenshot of the... View full entry
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
Former New York Times cartographer Tim Wallace describes how his current firm, Santa Fe-based Descartes Labs, has built a machine learning model to identify tree canopy from satellite imagery thus making accurate mapping of trees and urban forests far more accessible to cities worldwide. San... View full entry
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
Image: IntsiteAI-powered autonomous construction technology is poised to see enormous growth in the coming years, promising to significantly increase efficiency, cut costs & realization time, and reduce human errors as well as workplace-related injuries. "According to McKinsey, about... View full entry
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
The Verge senior editor Dan Seifert asks: Wouldn't it be cool if my home could figure everything out on its own? View full entry
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
In his piece for Failed Architecture, designer and writer Matthew Stewart investigates the implications of the overwhelming flood of architectural and logistical patents filed by Big Tech, and Amazon in particular, on our cities and expectations of the world of the future. "We’ve been treated... View full entry
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
"You could send in some humans with lidar backpacks, but that would be more expensive," IEEE Spectrum explains. "The company is also using drones in a limited capacity right now, since they require human supervision, but it’s easy to imagine how much more efficient this process could get as... View full entry
Move over Bureau Spectacular, Ball Nogues and LOC... robots are coming for your jobs. Botnik Studios created a hilarious (and somewhat believable) Coachella lineup using their artificial intelligence RNN algorithm to generate a list of band names and installation designers. Located at the... View full entry
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
Waymo is Google's self-driving technology company that was launched in 2009. Since developing 'world’s first and only fully self-driving ride on public roads' in 2015, they've introduced fully autonomous Chrysler Pacifica Hybrid minivans and started an early rider program which invites residents... View full entry
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
The new AutoDraw tool is part of Google's A.I. Experiments sandbox and pairs machine learning with artist drawings from a growing, crowd-sourced library. "AutoDraw’s suggestion tool uses the same technology used in QuickDraw, to guess what you’re trying to draw," states the tool's About page... View full entry
At last, somebody understands Mark Zuckerberg, and it's an artificial intelligence app that speaks with the wisdom and patience of Morgan Freeman. Partially an internet of things melded with a changeable, celebrity-cameo Siri (Arnold Schwarzenegger makes a brief aural appearance), Zuckerberg's... View full entry
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
More on neural networks and aesthetic quantification:Mark Zuckerberg's resolution for 2016: build an at-home AI "like Jarvis in Iron Man"Further strides made in Nobel-winning research on the neuroscience of navigationArchinect's Lexicon: "Neuromorphic Architecture""Sculpting the Architectural... View full entry
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
The technological and legal impediments to making self-driving cars a reality on U.S. roads seem to be falling away – and as the regulatory market opens for business, so may more competition, with Google and California (which legalized self-driving cars in 2012) leading the way.More on the... View full entry