Home Artificial Intelligence Artificial Intelligence News AI algorithms getting confused with COVID-19 data

AI algorithms getting confused with COVID-19 data

Audio version of the article

At some point, every one of us has had the feeling that online applications like YouTube and Amazon and Spotify seem to know us better than ourselves, recommending content that we like even before we say it. At the heart of these platforms’ success are artificial intelligence algorithms—or more precisely, machine learning models—that can find intricate patterns in huge sets of data.

Corporations in different sectors leverage the power of machine learning along with the availability of big data and compute resources to bring remarkable enhancement to all sorts of operations, including content recommendation, inventory management, sales forecasting, and fraud detection. Yet, despite their seemingly magical behavior, current AI algorithms are very efficient statistical engines that can predict outcomes as long as they don’t deviate too much from the norm.

But during the coronavirus pandemic, things are anything but normal. We’re working and studying from home, commuting less, shopping more online and less from brick-and-mortar stores, Zooming instead of meeting in person, and doing anything we can to stop the spread of COVID-19.

The coronavirus lockdown has broken many things, including the AI algorithms that seemed to be working so smoothly before. Warehouses that depended on machine learning to keep their stock filled at all times are no longer able to predict the right items that need to be replenished. Fraud detection systems that home in on anomalous behavior are confused by new shopping and spending habits. And shopping recommendations just aren’t as good as they used to be.

This article has been published from a wire agency feed without modifications to the text. Only the headline has been changed.

Source link

- Advertisment -

Most Popular

Improving Robots’ performance with Machine Learning

A small drone takes a test flight through a space filled with randomly placed cardboard cylinders acting as stand-ins for trees, people or structures....

Combination of Robots, AI and Data Analytics in your local Supermarket

Robots patrolling grocery store aisles and warehouses; so-called dark stores dedicated to online-only orders; data crunched in the cloud that allows retailers to identify and even...

5 (Most Common) Mistakes New Data Scientists Must Avoid

Emerging technologies like data science, machine learning, artificial intelligence are exploding by giving new dimensions to its applications. With business booming into data-driven technologies...

Using Blockchain to manage the supply chain COVID-19 vaccine

Blockchain could play an essential role in the distribution of the COVID-19 vaccine. Tackling COVID-19 will require the first-ever deployment of blockchain in the...

Role of Artificial intelligence in IVF

IVF is a physically and emotionally draining process and success isn’t guaranteed. But machine learning technology could improve the odds for couples trying to...

Machine Learning a major part of Google Sheets

It’s been a while since the first version of BigML’s add-on for Google Sheets. The post announcing it described how one could add predictions...
- Advertisment -