Tech roundup 34: a journal published by a bot

Read a tech roundup with this week’s news that our powerful bot has chosen: blockchain, AI, development, corporates and more.

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AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Hava Siegelmann is a professor of computer science, and a world leader in the fields of Lifelong Learning, Artificial Intelligence, Machine Learning, Neural Networks, and Computational Neuroscience. Her academic position is in the school of Computer Science and the Program of Neuroscience and Behavior at the University of Massachusetts Amherst; she is the director of the school’s Biologically Inspired Neural and Dynamical Systems Lab. She joined DARPA in July, 2016 and is the Program Manager for the Lifelong Learning Machine (L2M) program.

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Quote of the week

Object-oriented design is the roman numerals of computing.

        — Rob Pike

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Tech roundup 33: a journal published by a bot

Read a tech roundup with this week’s news that our powerful bot has chosen: blockchain, AI, development, corporates and more.

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AI, bots and robots

  • A Practitioner’s Guide to Deep Learning with Ludwig
  • A Worrying Analysis of Recent Neural Recommendation Approaches
    Deep learning techniques have become the method of choice for researchers
    working on algorithmic aspects of recommender systems. With the strongly
    increased interest in machine learning in general, it has, as a result, become
    difficult to keep track of what represents the state-of-the-art at the moment,
    e.g., for top-n recommendation tasks. At the same time, several recent
    publications point out problems in today’s research practice in applied machine
    learning, e.g., in terms of the reproducibility of the results or the choice of
    the baselines when proposing new models. In this work, we report the results of
    a systematic analysis of algorithmic proposals for top-n recommendation tasks.
    Specifically, we considered 18 algorithms that were presented at top-level
    research conferences in the last years. Only 7 of them could be reproduced with
    reasonable effort. For these methods, it however turned out that 6 of them can
    often be outperformed with comparably simple heuristic methods, e.g., based on
    nearest-neighbor or graph-based techniques. The remaining one clearly
    outperformed the baselines but did not consistently outperform a well-tuned
    non-neural linear ranking method. Overall, our work sheds light on a number of
    potential problems in today’s machine learning scholarship and calls for
    improved scientific practices in this area. Source code of our experiments and
    full results are available at:
    https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation.
  • The AI of GoldenEye 007
  • Deciphering Linear B with AI
    In this paper we propose a novel neural approach for automatic decipherment
    of lost languages. To compensate for the lack of strong supervision signal, our
    model design is informed by patterns in language change documented in
    historical linguistics. The model utilizes an expressive sequence-to-sequence
    model to capture character-level correspondences between cognates. To
    effectively train the model in an unsupervised manner, we innovate the training
    procedure by formalizing it as a minimum-cost flow problem. When applied to the
    decipherment of Ugaritic, we achieve a 5.5% absolute improvement over
    state-of-the-art results. We also report the first automatic results in
    deciphering Linear B, a syllabic language related to ancient Greek, where our
    model correctly translates 67.3% of cognates.
  • AI Portraits
  • AI is supercharging the creation of maps around the world
    Map With AI, tool created by Facebook researchers and engineers, is helping the OpenStreetMap (OSM) project map missing roads around the world.
  • Simple trading bot in JavaScript using ~40 lines of code
  • An Introduction to Recurrent Neural Networks
  • Waifu Labs – AI Generated Custom Waifus
  • Play rock paper and scissors against a untrained neural network
  • Darpa’s New Brain Device Increases Learning Speed by 40%

Blockchain and decentralization

Woman computer scientist of the week
Ashawna Hailey, created the HSPICE program which large parts of the worldwide semiconductor industry use to simulate and design silicon chips. Her company, Meta-Software, produced compound annual growth rate in excess of 25-30 percent every year for 18 years, and eventually became part of Synopsys, which calls HSPICE “the ‘gold standard’ for accurate circuit simulation”. In 1973 she created Advanced Micro Devices’ first microprocessor, the Am9080, a clone of the Intel 8080, and in 1974, AMD’s first nonvolatile memory, the 2702 2048-bit EPROM. Earlier, she built the launch sequencer for the Sprint Anti-Ballistic Missile System for Martin Marietta.

Cloud and architecture

Development and languages

Quote of the week

RMS is to Unix, like Hitler [was] to Nietzsche.

        — Federico Benavento

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Tech roundup 32: a journal published by a bot

Read a tech roundup with this week’s news that our powerful bot has chosen: blockchain, AI, development, corporates and more.

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AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Margaret Kampschaefer Butler was a longtime mathematician who participated in creating and updating computer software. During the early 1950s, Butler contributed to the development of early computers. Butler was the first female fellow at the American Nuclear Society and director of the National Energy Software Center at Argonne. Butler held leadership positions within multiple scientific organizations and women’s groups. She was the creator and director of the National Energy Software Center. Here, Butler operated an exchange for the editing of computer programs in regards to nuclear power and developed early principles for computer technology.

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Quote of the week

A good way to have good ideas is by being unoriginal.

        — Bram Cohen

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Tech roundup 31: a journal published by a bot

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AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Maja J. Mataric is an American computer scientist and roboticist, and the Chan Soon-Shiong Chaired Professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California. She is known for her work in human-robot interaction for socially assistive robotics, a new field she pioneered, which focuses on creating robots capable of providing personalized therapy and care through social rather than physical interaction, through technologies aimed at aiding special needs populations including the elderly, stroke patients, and children with autism. She is also known for her earlier work on coordination of robot teams and robot navigation.

Cloud and architecture

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Quote of the week

The unavoidable price of reliability is simplicity.

        — C.A.R. Hoare

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Tech roundup 30: a journal published by a bot

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AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Sheeri Cabral, née Kritzer, is a MySQL community contributor. She was chosen as the first Oracle ACE Director for MySQL. She won the MySQL Community Advocate, Communicator and Facilitator award in 2007 and again in 2008 for her frequent blog posts, community work, and conference/user group presentations; this sparked a keynote presentation for the 2009 MySQL User Conference & Expo on “How to be a Community Superhero”. She delivered another community keynote entitled, “Under New Management: Next Steps for the Community” at the same conference in 2010. In 2012, she won the MySQL Community Award again for her work founding and co-hosting the OurSQL podcast.

Cloud and architecture

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Quote of the week

Simplicity carried to the extreme becomes elegance.

        — Jon Franklin

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Tech roundup 29: a journal published by a bot

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AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Amber Settle is an American computer scientist and professor of education and theory in the department of Computer Science at DePaul University in Chicago, Illinois. She is known for her work in computer science education and her continuing service and leadership in Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE). She is currently serving as the elected chair of ACM SIGCSE, the premier international organization for computer science educators serving over 2700 members from more than 60 countries. Before being elected Chair, she served on the SIGCSE Board for six years, during which she acted as Treasurer for three.

Cloud and architecture

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Quote of the week

PHP is [the] Sarah Palin of programming languages.

        — killerstorm

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Tech roundup 28: a journal published by a bot

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Gooooooood morning, Internet!!! Hey, this is not a test, this is a tech roundup. Time to rock it from the Delta to the DMZ.

AI, bots and robots

Blockchain and decentralization

Woman computer scientist of the week
Jean Jennings Bartik was one of the original programmers for the ENIAC computer. She studied mathematics in school then began work at the University of Pennsylvania, first manually calculating ballistics trajectories, then using ENIAC to do so. She and her colleagues developed and codified many of the fundamentals of programming while working on the ENIAC, since it was the first computer of its kind. After her work on ENIAC, Bartik went on to work on BINAC and UNIVAC, and spent time at a variety of technical companies as a writer, manager, engineer and programmer. She spent her later years as a real estate agent and died in 2011 from congestive heart failure complications.

Cloud and architecture

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Quote of the week

Unix is a junk OS designed by a committee of PhDs.

        — Dave Cutler

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