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AAAS EPI Center letter to Utah legislators regarding mobile voting

Dear Legislator, We are writing from the American Association for the Advancement of Science’s (AAAS) Center for Scientific Evidence in Public Issues and the U.S. Technology Policy Committee of the Association for Computing Machinery (USTPC) regarding Utah’s consideration of an expansion of insecure internet voting. AAAS, the world s largest multidisciplinary scientific society, and ACM, the world’s largest computing society, work to provide a voice for science on societal issues and promote the responsible use of science and technology in public policy. Internet voting, referring primarily to the electronic return of a marked ballot via email, fax, web-based portal, or mobile apps, is not a secure solution for voting in Utah or elsewhere in any form, nor will it be in the foreseeable future. In April, we wrote to every governor, secretary of state, and state election director across the country detailing the scientific and technical risks of internet voting and urging offici

GitHub - BenJoyenConseil/rmi: Recursive Model Index, a learned index structure

RMI usage Create an index and make lookups // load the age column and parse values into float64 values ageColumn := extractAgeColumn( data/people.csv ) // create an index over the age column index := index.New(ageColumn) // search an age and get back its line position inside the file people.csv search, := strconv.ParseFloat(os.Args[1], 64) lines, := index.Lookup(search) the data/people.csv age column. It outputs : $ cat data/people.csv name,age,sex jeanne,90,F jean,23,M Carlos,3,M Carlotta,45,F Miguel,1,M Martine,1.5,F Georgette,23,F $ go run main.go 23 2020/11/15 20:29:56 People who are 23 years old are located at [8 3] inside data/people.csv

Chess engine sacrifices mastery to mimic human play

When it comes to chess, computers seem to have nothing left to prove. Since IBM’s Deep Blue defeated world chess champion Garry Kasparov in 1997, advances in artificial intelligence have made chess-playing computers more and more formidable. No human has beaten a computer in a chess tournament in 15 years. In new research, a team including Jon Kleinberg, the Tisch University Professor of Computer Science, developed an artificially intelligent chess engine that doesn’t necessarily seek to beat humans – it’s trained to play like a human. This not only creates a more enjoyable chess-playing experience, it also sheds light on how computers make decisions differently from people, and how that could help humans learn to do better.

Chinese Scientists List Top 10 Stories of 2020-Dahe cn - The first brand of local news website in Henan

Source: 2021-01-21 11:25 An illustration shows the orbital transfer injection by Chang e 5 s orbiter-reentry capsule combination. [Photo provided to chinadaily.com.cn] The Chinese Academy of Sciences and Chinese Academy of Engineering on Tuesday jointly revealed the top 10 news stories of scientific and technological progress in China and in the world in 2020. The top 10 news stories were voted by academicians of the two academies. The annual activity is in its 27th year. China s top 10 scientific and technological progress news reports in 2020: 1. The Chang e 5 lunar probe successfully returned to Earth carrying moon samples. Scientific research on moon samples was launched. China launched the Chang e 5 probe on Nov 24 as part of its moon missions. The probe successfully landed in a pre-selected zone on the moon on Dec 1. After sampling lunar soil, Chang e 5 s reentry capsule set off for Earth and landed in North China s Inner Mongolia autonomous reg

Computer Science academic recognised for outstanding accomplishments

Date Time Computer Science academic recognised for outstanding accomplishments Professor Graham Cormode from the University of Warwick has been recognised for his contribution to Computer Science by the Association for Computing Machinery (ACM), by being named a 2020 fellow. The ACM is the world’s leading learned society for computer science, Professor Cormode is recognized for his contributions to data summarisation and privacy enabling data management and analysis. His work on data streams and sketching has been widely implemented in many high tech companies and organisations, including Google, Netflix and Twitter. He is among 95 ACM Fellows, representing universities, corporations and research centres around the world, who are celebrated for their wide-ranging and fundamental contributions in areas including artificial intelligence, cloud computing, computer graphics, virtual reality, and more.

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