InfoWorld |
Why there are no shortcuts to machine learning
InfoWorld Big data remains a game for the 1 percent. Or the 15 percent, as new O’Reilly survey data suggests. According to the survey, most enterprises (85 percent) still haven’t cracked the code on AI and machine learning. A mere 15 percent “sophisticated” … |
The Register |
Pyspark, TensorFlow, Python: What’s in your machine learning toolbox?
The Register Events We’ve got four workshops running on October 17, covering different technologies and approaches to getting machine learning to work for your organisation. And places for all of them are filling fast. Oliver Zeigermann returns to take you through … |
TechCrunchShelf Engine uses machine learning to stop food waste from eating into store marginsTechCrunchThe more retailers use Shelf Engine, the more accurate its machine learning model becomes. The system also helps suppliers, because many operate on …
Electronic DesignFollowing Rules Might be Better than Machine LearningElectronic DesignMachine learning (ML) can be quite useful in a wide range of applications from voice processing to optimizing ray traced images. But for other applications, ML may n…
QuartzDescartes Labs unleashes machine learning on space dataQuartzSatellite imagery across the visual spectrum is cascading down from the heavens. The challenge is to figure out how to process it, learn from it—and monetize it. Advances in distributed…
VentureBeatOracle open-sources Graphpipe to make it easier to deploy machine …VentureBeatOracle today open-sourced Graphpipe, a tool created to make it easy to serve machine learning models in the cloud. Graphpipe was designed to simplify the …..
After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science and the founding Scientific Director of the Alberta Innovates Centre for Machine Learning (now Alberta Machine Intelligence Institute), which won the ASTech Award for “Outstanding Leadership in Technology” in […]
By Jeff Desjardins, The Visual Capitalist The interplay between technology and work has always been a hot topic. While technology has typically created more jobs than it has destroyed on a historical basis, this context rarely stops people from believing that things are “different” this time around. In this case, it’s the potential impact of artificial intelligence […]
Singularity Hub |
Could Machine Learning Mean the End of Understanding in Science?
Singularity Hub They used machine learning to accurately predict the outcome of a chaotic system over a much longer duration than had been thought possible. And the machine did that just by observing the system’s dynamics, without any knowledge of the underlying … |
By Jacques Bughin and Nicolas van Zeebroeck of McKinsey The diffusion of a new technology, whether ATMs in banking or radio-frequency identification tags in retailing, typically traces an S-curve. Early on, a few power users bet heavily on the innovation. Then, over time, as more companies rush to embrace the technology and capture the potential gains, the market […]
