Deep Learning

Scientists are using AI to find invasive species of plants, including the scourge of British homes and gardens: Japanese knotweed. The bamboo-like plant has been ravaging European roads, railways, and building foundations since explorer Philipp Franz von Siebold brought it to the continent in the mid-19th century. Unbeknownst to Siebold, the perennial weed would become “indisputably the

OpenAI once withheld its text generator for fear of misuse — but now wants to sell the tech as an enterprise product. The company is releasing an application programming interface (API) for accessing new AI models developed by its researchers — including GPT-3, its latest text generator. It’s initially offering the API as a free, two-month private

Is my car hallucinating? Is the algorithm that runs the police surveillance system in my city paranoid? Marvin the android in Douglas Adams’s Hitchhikers Guide to the Galaxy had a pain in all the diodes down his left-hand side. Is that how my toaster feels? This all sounds ludicrous until we realize that our algorithms are increasingly

Today, artificial intelligence is mostly about artificial neural networks and deep learning. But this is not how it always was. In fact, for most of its six-decade history, the field was dominated by symbolic artificial intelligence, also known as “classical AI,” “rule-based AI,” and “good old-fashioned AI.” Symbolic AI involves the explicit embedding of human knowledge and behavior