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Data Analysis
The VENUS survey isn't about planets at all, but about finding multiply-lensed supernovae. The ambition? To save the expanding Universe.
Dark matter, dark energy, and the Big Bang are all part of a solid scientific foundation. Here's why popular media often claims otherwise.
An ode to the data visualization tools that help us see what is too vast, complex, or interconnected for the naked eye — from planetary systems to pandemic trends.
MIT Sloan’s Nelson P. Repenning and Donald C. Kieffer outline their tried-and-tested solution for stubborn workflow blockages.
The long-elusive neutrino was shown to have a bizarre property no one expected: mass. New, tightest-ever limits have profound implications.
Whether it’s LeBron's shooting patterns or your corporate AI strategy, actionable insights are the key to turning data into meaningful results.
A National Center for Data and Evidence could supplement our archaic and expensive system and more accurately measure AI's impact on jobs.
“We can build AI scientists that are better than we are… these systems can be superhuman,” says the FutureHouse co-founder.
A deep dive into missing data and the limitations of disaster databases.
8mins
Eric Siegel, Co-Founder & CEO, Gooder AI, argues machine learning (ML) projects go astray because their stakeholders focus too often on the technological fireworks — the “rocket science” of predictive models.
The big question isn't whether the Universe is expanding at 67 or 73 km/s/Mpc. It's why different methods yield such different answers.
50 years ago, Herman Chernoff proposed using human faces to represent multidimensional datasets. It was a good idea in theory — but a disaster in practice.
Digital analyses of Enlightenment-era letters are teaching us a thing or two about Locke, Voltaire, and others.
Here's what recent DESI measurements suggest — and why it's too early to update conventional predictions about the Universe's distant future.
Britain is profiling the genes, health and lifestyles of its citizens and handing the results to scientists across the world.
Some processes, like quantum tunneling, have been shown to occur instantaneously. But the ultimate cosmic speed limit remains unavoidable.
Calculating training ROI is rarely straightforward, but this article offers a few best practices for L&D professionals.
Rich data on the global state of our feathered friends presents plenty of bad news — but also some bright spots.
7mins
This network physicist is mapping the world's most significant data to create the most beautiful visualizations of information we have ever seen.
John Templeton Foundation
Data scientists first gained prominence by making us click on ads — now the profession spans a multiverse.
The LHC has a long, productive life ahead of it. An upgraded version, called the “High Luminosity LHC,” will be available in 2028.
Be skeptical of a new study questioning the sweetener's safety.
So far, two papers have been retracted, and a third is under investigation. Accusations of plagiarism appear convincing.
Catastrophes are difficult to predict because they are so rare. But AI using active learning can make predictions from very small data sets.
In the future, driving an app across a bridge could let engineers know how safe it is.
If measuring eLearning ROI is so important, why aren’t more organizations doing it?
When constructed well, post-training survey questions can provide a wealth of information that helps guide future design decisions.
Some ozone experts seriously doubt the findings.
Here are five things to know before conducting a training evaluation.
