you have more coverage of that anniversary right here on d w a reminder now the top story that we're tracking for you at this hour a total of $56.00 people have now died from the corona virus in china and there are more than 2000 confirmed cases chinese authorities after last down the worst hit area by province travel restrictions have also been stepped up in a bid to try to contain the virus. stay tuned shifts up next in the meantime all the latest news available on our website called aspen in berlin and more news coming at the top of the. change the world. the cry for freedom and the fight for freedom are always accompanied by a suit. they transcend dreams and bring us all together.

our 2 part documentary about the revolutionary power of music. martin john the songs come cases of history. songs like that don't go away but stay with us for all time by. the sound of fresh starts february 7th w. . on this special edition of shift we explore how algorithms influence our minds. algorithms have been around for a long time but at the age of big data and digitalization they're becoming ever more important and powerful are we letting algorithms think for us. what our algorithm. that's actually quite simple an algorithm is

a clear process or set of rules to follow to solve a problem. for example step by step they tell us what to do if we follow them we should achieve the desired result assuming the instructions are good but that's another story. probably existed for as long as people could think. the algorithm for computing square roots known as herons method was known to the babylonians and so mathematical algorithms were already known an ancient times when famous example is but there are states that in a right angled triangle the square of the partners is equal to the sum of the squares of the other 2 sides in other words a squared plus b. squared equals c. squared. so if you know the length of 2 sides you can work out the length of the other. but where does the word algorithm come from

it's named after me a persian scholar. around the year 25 he taught people how to perform written calculations using arabic numerals. these algorithms are still the ones we learn in school today as long as calculators don't put an end to mental math. computers use algorithms. basically every computer program is an algorithm which tells the processor precisely how to utilize the incoming stream of data. and now algorithms are even capable of learning. conducts research on machine learning algorithms and think society needs to regulate their implementation. what we should hope to achieve is having certain standards. that are free of

discrimination. the.

c.e.o.'s. are female. these prejudiced algorithms have huge implications for example on the job market. more suggestions for lower paying jobs than shown in a study by a us university but says algorithms aren't solely to blame because they're programmed and fed by humans. or. were. translation software. that.

picture mission learns from large image databases here you find more pictures of women in the kitchen. and so the algorithm learns to associate women with kitchens changing that is tough and time consuming. the coding is often top secret so it's difficult to prove an algorithm is prejudiced the program can check for discrimination. it simulates fake accounts that are identical in everything but gender. accountability transparency and fairness are really the future of machine learning and we need to make them trustworthy and we need to you know allow people to ask questions about how they work and allow people to see how they're operating and how they're trained. to eliminate prejudice and algorithms it will take more social awareness and human intervention. for a long time it was considered an impossible task sequencing the wheat genome but

now an international research team has done just that with the help of algorithms. that. over 200 researchers from 20 countries work together to discover bread wheats d.n.a. in science magazine they reported how they were able to sequence over 100000 genes has 5 times more genes than humans so the researchers developed special algorithms to help them. while informative manuel took part in a project. in recent years new algorithms were developed specially to piece together the different fragments of the genomes they really help us to create a coherent sequence out of this huge pile of puzzle pieces according to researchers hope this will help them breathe new week for ideas that are more resistant to climate change. and possibly have to make it more adaptable to different climatic conditions for example longer periods of drought and possibly longer periods of

heavy rain as well. along with the rice we disconcert of the world's most important foodstuffs experts warn that we must increase if we're to satisfy the hunger of earth's growing population. the sequencing of the bread wheat genome is a major step in that direction. algorithms predict the next best seller. a startup hopes to use its software to help publishers fish out the most promising manuscripts in a matter of seconds. what novels will fly off the bookstore shelves and which ones won't. a piece of software named qualification is supposed to be able to predict which manuscript will become the next best seller. the idea came from hearing from many publishers and authors to that much of the

huge amount of material that submitted each year in germany doesn't even get rid. of. it simply because it would take too many people to do so. the ai software rates stories according to their sales potential using 100000 books and their sales figures the program learn to recognize a bestseller sentence by sentence test readers fed it with successful novels and rated them. the criteria including sentence length suspense vocabulary and emotions . in the can we take a books and divide it into its literary components as we explore what kind of themes the work uses what is its dramatic arc what style of language or a constellation of characters is employed and from how and using all these characteristics we make a final rating i know. several publishers are currently testing the software including small hamburg based publisher back up its director and one editor

regularly wade through mountains of manuscripts. say we get sent 100 manuscripts you can be pretty sure that a lot of these can be filtered out because they're not suitable for a formal reason i'll say. if the software manages to filter out that 10 to 20 percent and that would be a great help. but after that separating the wheat from the chaff is really all about the little details. ror says people will always be needed to work closely with the authors. many in the publishing business are critical of the software including kissed and primus who's worked as a book editor for 25 years. then feel if. if a lot of publishers start using it i fear there will be a more mass market literature released more things that cater to the mass market. i must not i'm sure that's happening already but i'm afraid it will only get worse

and that really innovative different and surprising works will fall by the wayside . how said the founder say fears that the book market could become less diversified are unfounded. and even tired especially think the opposite is true it will likely lead to more diversity because publishers have the opportunity to assess whether something might really succeed as it contains many elements that are really new and work well sent me and. christiane good into moonlight says a writer of dark fantasy novels and sees the software as an opportunity for authors like himself. it could help him learn how to better reach his target audience and tell him if it's worth investing in marketing. going to send his latest work to poly fiction for analysis. it's a sort of solace and to see it's a bit darker than normal. this is the average is that you're

a bit more intense. here you can see that you manage to maintain the suspense but over time you get more and more extreme. no takes. in almost every respect to meet the target groups expectations of. the algorithm thanks christiane going to his novel has a 23 percent chance of becoming a bestseller. this is what it's the fits and you need to look at it from the view of a publisher looking to appeal to a mass audience and and for that it's a pretty good rating yet so i should. not bad for an unknown writer. of fiction was designed to help publishers who lack the time to read all of the manuscripts they receive but authors also appreciate the software's been back for all its apparent prejudices at least we can say that it doesn't judge a book by its cover.

on this 77 percent to be told me to stop trying. to be in smiling closed is nothing for it's beautiful. it sticks to them so. little to those offended and to government officials how does the brain does the problem last couple. of things. hi there. on the audi r s q a. turn on the brakes. ok so i'm not what you call dangerous and i'm a bit of a gas guzzler but i'm super supportive in fact just. to someone who isn't a big fan of s.u.v.s wants to test me out. to see if i can win them over red.

60 minutes g.w. . i'm not laughing at well i guess sometimes i am but most and nothing with the damage has been think deep into the german culture. and take this drama down to you because it's all about. who knows i'm rachel joining me to get the course. as low and welcome to the 77 percent as some of you already know this is the show for off with because many of these when. it's great to have you guys you know coming up for you on today's program probably the donkey are important even if the money engages resident in a debate on the dock they don't close the. kennel takes well that's because

it needs a high take on an open number of them that we execute.