Few people in the tech world can truly be said to “need no introduction.” Stephen Wolfram is certainly one of them. But while…
The news is no longer contained in an object we can hold, but flows around us through a variety of apps and services, and the design or algorithmic choices those platforms make can affect how we see the world around us
The suggestion that Twitter might apply Facebook-style algorithmic filtering to its timelines — something executives have said they are considering — seemed to strike many users as the worst thing that could happen to the service
At a financial conference, Twitter’s chief financial officer Anthony Noto suggested that the service will offer algorithm-driven curation of feeds much like Facebook does, in order to try and improve the relevance for users
Twitter’s brevity and the nature of the relationship that users have with each other will likely always make it better suited for breaking news, but Facebook also loses out as a news source because of the way it uses ranking algorithms to filter the newsfeed
The more Facebook tries to control the News Feed in order to make sure the content in it is “high quality” enough, the more likely it is to irritate users who actually want to see or share the things Facebook defines as spam
Brands and prominent users like comedian Rainn Wilson are complaining about Facebook’s algorithm changes and how that forces them to pay money to reach their fans and followers — but Facebook has always been that kind of network. It controls the signal-to-noise ratio, not you
The former owners of the Washington Post have relaunched a news-curation and recommendation app called Trove, which they hope will encourage users to find and share content in new ways — but the curation market is a crowded one
AncestryDNA is getting much better at telling users where their ancestors hail from and who their relatives are, but all this improvement comes at a technological cost. The more data it gathers, the more it pushes its infrastructure and algorithms to the limit.
What Uber calls “surge pricing” makes a lot of sense from a rational, economic point of view — but when it is used during disasters like the floods in Toronto, it still leaves the company with a black eye.
Netflix computes information in different ways, depending on how soon the data needs to get served up to customers or evaluated internally. The nuanced approach extends to Facebook, LinkedIn and other webscale companies.
Medical researchers are using a mathematical process similar to Google PageRank in order to identify organs most likely to spread lung cancer throughout the human body.
Facebook responded to criticisms of its newsfeed algorithms on Monday, arguing that it’s constantly tweaking the formula but working to make sure posts in the feed are relevant to all users.
When it comes to discoverability and walled gardens, there’s a flip side.
Numenta, the latest startup from Palm creator Jeff Hawkins, aims to help us make sense of fast-flowing machine-to-machine data by recognizing patterns and building models. Its latest customer is smart-grid efficiency expert EnerNOC.
Big data technologies are like manufacturing robots: they let people do what they’re already trying to do, only faster than before and at a much greater scale. But as with any other product, that analyzed data is nothing without humans to do something with it.
A team of University of Notre Dame researchers has developed an algorithm for solving Sudoku puzzles that doesn’t require it to guess at all. Rather, it’s able to discern patterns even with sparse available information and automatically determine which numbers go where.
Building a robotic bee that acts like a real bee is a lot more complicated than programming a robot to fly around from flower to flower. A project called Green Brain aims to build an artificial intelligence system that can actually mimic a bee’s brain.
Data science competition platform Kaggle is opening up the leaderboards for its invitation-only private competitions, meaning anyone can watch and see how the world’s best data scientists are faring in these special challenges. Can data science actually become a spectator sport in the analytics community?
Thanks to the popularity of everything from social media sites such as Twitter to email to mobile phones, it’s easier than ever to get data about who’s connected to whom. With the right tools, we can apply it solve certain problems faster and easier than ever.
A team of Swiss researchers thinks it has created an algorithm capable of tracking almost anything — from computer viruses to terrorist attacks to epidemics — back to the source using a minimal amount of data. The trick is focusing on time to figure out who “infected” whom.
A group of researchers have created a computing system capable of identifying the unique features that help create a city’s look and feel, beyond just its famous landmarks. Their project is just the beginning, however, as the researchers note numerous artistic and commerical applications.
BloomReach emerged from stealth mode a message about how it will help ensure companies get their web pages heard above the noise online. Using a potent brew of big data techniques, BloomReach says it can significantly improve traffic by making pages more relevant to consumers.
Netflix dominates the business of streaming movies and television into consumers’ homes, but a new business model developed by big data firm Opera Solutions could help give cable companies the inside track. The model is combination of peer-to-peer networking via set-top boxes and big data algortihms.
Google, Apple, Twitter and Facebook have all been in the news recently because of their control over our access to certain information, and the ways in which they could potentially restrict it. How much does that affect the way we perceive the world around us?