This robot is like a roomba for tennis balls. đŸ.
Roomba For Tennis Balls
Posted in robotics/AI
Posted in robotics/AI
Lagos â With its colourful hammocks and table tennis table, a new tech hub in the Lagos metropolis wouldnât look out of place among the start-ups on the other side of the world in Silicon Valley.
But the NG_Hub office is in the suburb of Yaba â the heart of Nigeriaâs burgeoning tech scene that is attracting interest from global giants keen to tap into an emerging market of young, connected Africans.
In May, both Google and Facebook launched initiatives nearby.
âDoughbotsâ in California speed up stretching pizza dough from 45 seconds to just nine.
CREATOR, a new hamburger joint in San Francisco, claims to deliver a burger worth $18 for $6âin other words, to provide the quality associated with posh restaurants at a fast-food price. The substance behind this claim is that its chef-de-cuisine is a robot.
Until recently, catering robots have been gimmicks. âFlippyâ, a robotic arm that flipped burgers for the entertainment of customers at CaliBurger in Pasadena, near Los Angeles, earlier this year is a prime example. But Flippy could perform only one task. Creatorâs bot automates the whole process of preparing a burger. And it is not alone. Other robot chefs that can prepare entire meals are working, or soon will be, in kitchens in other parts of America, and in China and Britain.
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âEvery time you miss a protein crystal, because they are so rare, you risk missing on an important biomedical discovery.â
- Patrick Charbonneau, Duke University Dept. of Chemistry and Lead Researcher, MARCO initiative.
Protein crystallization is a key step to biomedical research concerned with discovering the structure of complex biomolecules. Because that structure determines the moleculeâs function, it helps scientists design new drugs that are specifically targeted to that function. However, protein crystals are rare and difficult to find. Hundreds of experiments are typically run for each protein, and while the setup and imaging are mostly automated, finding individual protein crystals remains largely performed through visual inspection and thus prone to human error. Critically, missing these structures can result in lost opportunity for important biomedical discoveries for advancing the state of medicine.