Computing

Data voids in search results can lead down rabbit holes that bolster belief in fake news

Artificial intelligence models are getting bigger, along with the data sets used to train them. But scaling down could solve some big AI problems

Powering artificial intelligence models takes a lot of energy. A new analysis demonstrates just how big the problem could become

Trust is built on social norms and basic predictability. AI is typically not designed with either

A botched obituary underlines threats from both artificial intelligence and digital plagiarism mills to pollute the news with misinformation

We need to figure out if there is a constitutional right to compute

Some Japanese researchers feel that AI systems trained on foreign languages cannot grasp the intricacies of Japanese language and culture

Extreme heat can slow and even damage electronics ranging from computers to cars

To steal cars that rely on remotes and computer networks, thieves are trading their pry bars for laptops and wireless devices

We surveyed Canadian youth about science when it comes to making informed decisions. Their responses tell us that we need to work harder to help youth everywhere recognize misinformation

A replicability crisis threatens computational science without shared code, data and methods from studies. A new replication agreement system can mitigate this crisis.

Politically polarized Google users are not steered to partisan sites by the search engine’s algorithm but generally decide to go there on their own