In this workshop, we’ll explore the process of relighting a 3D environment in Unreal Engine, taking inspiration from Luminism ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct concepts for computer vision might be combined to create a more robust ...

You’re unlikely to open a medicine cabinet in the U.S. without seeing a bottle of Tylenol, the brand name of a pain reliever and fever reducer also sold generically as acetaminophen. A health care ...

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...

Machines have come a long way in seeing and understanding images, but they still don’t see quite like humans do. A new development in artificial intelligence (AI), however, may bring us closer to that ...

Introduction: To achieve fast detection of pear fruits in natural pear orchards and optimize path planning for harvesting robots, this study proposes the AHG-YOLO model for multi-category detection of ...

The CEO of one of the world’s leading artificial intelligence labs just said the quiet part out loud: that nobody really knows how AI works. In an essay published to his personal website, Anthropic ...