“Programming code is not good or bad per se, it depends mainly on how it is used,” says Hustedt. Google Development: New Supercomputer Algorithm Is Faster Than Quantum Computer November 2018 Calendar Cute New Supercomputer Algorithm Is Faster Than Quantum Computer People’s discomfort is understandable.
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Elon Musk or the recently deceased Stephen Hawking strongly warned against the singularity that intelligent programs dominate the world in just a few decades. Last year, Facebook switched off an AI system whose algorithms developed their own language – which their programmers no longer understood.
The engineers pulled the plug to stop the whispering. “Something really dangerous can happen in five or even ten years,” Musk warned – in 2014. However, the Tesla boss is a physicist and not an AI expert. The fear of the power of numbers and formulas about our lives has much to do with ignorance.
Almost half of all Germans interviewed by Bertelsmann did not think of the term “algorithm”. In the process, almost every one of us encounters the digital helpers in everyday life. Those who let themselves be guided by their navigation system in the car past traffic jams and obstructions rely on a complex algorithm.
The sequence of traffic lights depending on traffic also follows computer-controlled instructions. Better Managers through AI So algorithms in the troubled US real estate industry are making mortgage lending sounder and fairer. A research team from George Washington University and American real estate financier Freddie Mac found that the smart algorithms not only predict credit default risk better than bankers’ human specialists.
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“We also found evidence that better credit rating leads to more loan commitments, especially for previously neglected candidates,” economists write. For example, it refers to African Americans and Hispanics. Even when it comes to job applications, these minorities have a fairer chance of being invited to a conversation, if not personnel, but algorithms decide on it.
As the computer dulled the world champion Even the work of major law firms will change through algorithms in the next few years. In the midst of large-scale litigation and acquisitions, lawyers often have to spend thousands of years reviewing thousands of documents – looking for important information – or comparing hundreds of court judgments to assess current cases. Digital helpers can do that much better.
A growing number of start-ups are developing programs based on learning algorithms that reduce lawyers’ time-consuming workloads with fewer mistakes. The Canadian company Kira Systems has developed algorithms that can read and understand thousands of documents and filter out the relevant information. The London-based start-up LISA wants to make lawyers on some issues even redundant.
The company has developed an algorithm that helps various parties to agree on legally binding disclaimers or real estate purchase agreements. In agriculture, intelligent machines use millions of stored images to decide where fertilizer and weedkiller need to be used on the cabbage field. US agricultural machinery November 2018 Calendar Cute Deere has just spent more than $ 300 million on startup Blue River Technologies, which has developed this smart algorithm. Even the management of companies can be significantly improved with digital help.