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Four short links: 11 June 2018

O'Reilly Radar - Mon, 2018/06/11 - 04:10

Tiny Machine Learning, Deep Video, Software 2.0, and Smart Camera

  1. Why the Future of Machine Learning is Tiny (Pete Warden) -- If you accept all of the points above, then it’s obvious there’s a massive untapped market waiting to be unlocked with the right technology. We need something that works on cheap microcontrollers, that uses very little energy, that relies on compute not radio, and that can turn all our wasted sensor data into something useful. This is the gap that machine learning, and specifically deep learning, fills.
  2. Deep Video Portraits (YouTube) -- excellent video faking advance, hot from SIGGRAPH.
  3. Building the Software 2.0 Stack (Andrej Karpathy) -- 1.0 is pipelines and stacks, 2.0 is machine-optimized structure and parameters for code. The talk is really good.
  4. Jevois Smart Machine Vision Camera -- video sensor + quad-core CPU + USB video + serial port, all in a tiny, self-contained package (28 cc or 1.7 cubic inches, 17 grams or 0.6 oz). Insert a microSD card loaded with the provided open source computer vision algorithms (including OpenCV 3.4 and many others), connect to your desktop, laptop, and/or Arduino, and give your projects the sense of sight immediately.

Continue reading Four short links: 11 June 2018.

Categories: Technology

Four short links: 8 June 2018

O'Reilly Radar - Fri, 2018/06/08 - 03:25

Representative Recognition, Cyberwar, Data Science Projects, and Conversational Failure

  1. NYT Uses Software to Identify Members of Congress -- In addition to confirming the identity of a member, Who The Hill has helped The Times tell some stories we couldn’t have reported otherwise. Most recently, Rachel Shorey found members of Congress at an event hosted by a SuperPAC by trawling through images found on social media and finding matches.
  2. Cyberwar Map -- both a visualization of state-sponsored cyberattacks and an index of Cyber Vault documents related to each topic (represented as nodes on the map).
  3. Cookie-Cutter Data Science -- a standard directory structure and set of conventions for a data science project, with a tool that creates a new one.
  4. Conversations Gone Awry: Detecting Early Signs of Conversational Failure -- To this end, we develop a framework for capturing pragmatic devices—such as politeness strategies and rhetorical prompts—used to start a conversation, and analyze their relation to its future trajectory. Applying this framework in a controlled setting, we demonstrate the feasibility of detecting early warning signs of antisocial behavior in online discussions.

Continue reading Four short links: 8 June 2018.

Categories: Technology

The real value of data requires a holistic view of the end-to-end data pipeline

O'Reilly Radar - Thu, 2018/06/07 - 04:05

The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.

In this episode of the Data Show, I spoke with Ashok Srivastava, senior vice president and chief data officer at Intuit. He has a strong science and engineering background, combined with years of applying machine learning and data science in industry. Prior to joining Intuit, he led the teams responsible for data and artificial intelligence products at Verizon. I wanted his perspective on a range of issues, including the role of the chief data officer, ethics in machine learning, and the emergence of AI technologies for enterprise products and applications.

Continue reading The real value of data requires a holistic view of the end-to-end data pipeline.

Categories: Technology


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