Visualizing Vectors — Jed Crosby, Head of Data Science at Clari

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#data-science, #videos

China aims to dominate the biggest technologies in our lives

Generation China is a CNET series about how the country is staking out positions in big areas of tech, from 5G to social media, with players like Huawei and TikTok.

An economic powerhouse pummeled by the coronavirus. A key trade partner. A competitive threat. An authoritarian government willing to censor its citizens and violate their human rights. China bears many labels depending on who — or when — you ask. But one thing that’s clear is the world’s most populous country and the second-largest economy has been steadily developing into a technological powerhouse that has the potential to upend the status quo.  Read More

#china-vs-us

Machine Learning for a Better Developer Experience

Imagine having to go through 2.5GB of log entries from a failed software build — 3 million lines — to search for a bug or a regression that happened on line 1M. It’s probably not even doable manually! However, one smart approach to make it tractable might be to diff the lines against a recent successful build, with the hope that the bug produces unusual lines in the logs.

Standard md5 diff would run quickly but still produce at least hundreds of thousands candidate lines to look through because it surfaces character-level differences between lines. Fuzzy diffing using k-nearest neighbors clustering from machine learning (the kind of thing logreduce does) produces around 40,000 candidate lines but takes an hour to complete. Our solution produces 20,000 candidate lines in 20 min of computing — and thanks to the magic of open source, it’s only about a hundred lines of Python code. Read More

#devops

Could this software help users trust machine learning decisions?

New software developed by BAE Systems could help the Department of Defense build confidence in decisions and intelligence produced by machine learning algorithms, the company claims.

BAE Systems said it recently delivered its new MindfuL software program to the Defense Advanced Research Projects Agency in a July 14 announcement. Developed in collaboration with the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory, the software is designed to increase transparency in machine learning systems—artificial intelligence algorithms that learn and change over time as they are fed ever more data—by auditing them to provide insights about how it reached its decisions. Read More

#dod, #explainability

How an AI graphic designer convinced clients it was human

Nikolay Ironov had been working as a graphic designer for more than a year before he revealed his secret.

As an employee of Art. Lebedev Studio — Russia’s largest design company — Ironov had already worked on more than 20 commercial projects, creating everything from beer bottle labels to startup logos.

But Ironov was not the person he claimed to be. In fact, the designer was not a person at all. Read More

#image-recognition, #nlp, #vfx