With a “hello,” Microsoft and UW demonstrate the first fully-automated DNA data storage and retrieval system. Photo: Microsoft.
Category: robotics/AI – Page 1885
Iron Ox has just opened its first fully automated farm in San Carlos, California. The company claims that their hydroponic system can produce 30 times the yield per acre of land comparing to traditional farms, while using 90% less water.
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Another Vertical Garden post from Amber. Read more about this topic on Garden Culture Magazine.
A new disruptive technology is on the horizon and it promises to take computing power to unprecedented and unimaginable heights.
And to predict the speed of progress of this new “quantum computing” technology, the director of Google’s Quantum AI Labs, Hartmut Neven, has proposed a new rule similar to the Moore’s Law that has measured the progress of computers for more than 50 years.
But can we trust “Neven’s Law” as a true representation of what is happening in quantum computing and, most importantly, what is to come in the future? Or is it simply too early on in the race to come up with this type of judgement?
THE INSTITUTE Teenager Ari Firester watched on television last year as members of a youth soccer team were saved from a flooded cave in Chiang Rai Province, Thailand. The two-week-long effort, which left one rescuer dead, inspired Firester to create a technology that might prevent such a tragedy from occurring again.
Firester, 16, a junior at Hunter College High School in New York City, created “Wormbot,” an earthworm-inspired robot capable of maneuvering in narrow spaces. The project was displayed at Intel’s annual International Science and Engineering Fair, held in May in Phoenix. His invention earned him the US $10,000 IEEE Presidents’ Scholarship, which is given at the fair.
Controlled by an Arduino microcontroller and built with off-the-shelf items, the robot makes wormlike movements by using eight retractable claws along its length to grip its surroundings and prevent it from slipping. The modular robot is powered by compressed air. The control and power components are connected to the robot through a thin, plastic air tube. By using inflatable actuators, its body can be lengthened, shortened, or bent.
This week, two companies say that their technologies were able to work together successfully broker and transport a load without any human help.
On Thursday, July 8, Starsky Robotics and Loadsmart issued an announcement about the trucking industry’s first autonomous dispatch and delivery.
The companies say that this “marks the first time an autonomous company and a digital broker have collaborated to price, book and load a shipment without any human involvement.”
When Fortnite reached stratospheric popularity early last year, there were undoubtedly an awful lot of VCs on the sidelines looking enviously at the massive platform and wondering what opportunities could be gleaned from its rapid rise.
Epic Games went on to raise later that year at a nearly $15 billion valuation so some of those investors decided to invest directly in the Fortnite creator’s continued ascent, but others have been looking to get in on the ground floor of new operations that are aiming to rethink the line between video games and social networks.
Today, Andreessen Horowitz announced that it’s leading the $16.5 million Series A of a stealthy gaming startup called Singularity 6. The startup’s ex-Riot Games co-founders claim their venture is less focused on building a button-mashing competitive shooter than it is a “virtual society” where users can develop relationships with in-game characters powered by “complex AI”.
Amazon’s controversial facial recognition technology, called Rekognition, has a new skill. It can now spot fear. The company says it recently launched updates to Rekognition’s facial analysis features, including improved age estimation and the addition of fear to its emotion detection.
“We have improved accuracy for emotion detection (for all 7 emotions: ‘Happy,’ ‘Sad,’ ‘Angry,’ ‘Surprised,’ ‘Disgusted,’ ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear,’” according to an update from Amazon on Monday. “Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”
The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers – harnessed to algorithms refined over the past decade – are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers.
In the future, we may have to deal with biological weapons that target specific groups of people, passing over everyone else.
That’s according to a new report out of Cambridge University’s Centre for the Study of Existential Risk reviewed by The Telegraph. In it, the Cambridge researchers argue that world governments have failed to prepare for futuristic weapons based on advanced technology like artificial intelligence and genetic manipulation — or even a killer pathogen designed to kill only people of a particular race.