Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.Computer Sciences[#item_full_content]

For long periods of its history, artificial intelligence has lurked in the hinterland of science, often unloved and unfunded—but two Nobel prizes in one week suggest its time in the sunshine has finally arrived.For long periods of its history, artificial intelligence has lurked in the hinterland of science, often unloved and unfunded—but two Nobel prizes in one week suggest its time in the sunshine has finally arrived.Machine learning & AI[#item_full_content]

We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair that is most common to Black characters, remains a notoriously difficult digital challenge.Computer Sciences[#item_full_content]

In dusty factories, cramped internet cafes and makeshift home offices around the world, millions of people sit at computers tediously labeling data.In dusty factories, cramped internet cafes and makeshift home offices around the world, millions of people sit at computers tediously labeling data.Business[#item_full_content]