S4D Insights2019-06-21T16:28:36-05:00

Superforecasting: How to Upgrade Your Company’s Judgment

Companies and individuals are notoriously inept at judging the likelihood of uncertain events, as studies show all too well. Getting judgments wrong, of course, can have serious consequences. Steve Ballmer’s prognostication in 2007 that “there’s no chance that the iPhone is going to get any significant market share” left Microsoft with no room to consider alternative scenarios. Source: Superforecasting: How [...]

June 7th, 2017|Categories: Science4Data|

3-D Imaging Systems for Agricultural Applications—A Review

Imaging in agriculture is where machine learning will be necessary to execute on a chip.  Using triangulation as an example for generating point cloud data at high resolution would require a tremendous amount of computation. Supercomputers based on GPU might help but that won't make it into the field devices, therefore, I am predicting that a new class of ASIC [...]

June 4th, 2017|Categories: Science4Data|

Google Reveals Automatic Machine Learning: A.I. Can Create Itself | Inverse

In a blog post about the project, Google CEO Sundar Pichai said that, “We hope AutoML will take an ability that a few Ph.D.s have today and will make it possible in three to five years for hundreds of thousands of developers to design new neural nets for their particular needs.” Source: Google Reveals Automatic Machine Learning: A.I. Can Create [...]

May 24th, 2017|Categories: Science4Data|
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