Humans make nearly 35,000 decisions every day, from whether it’s safe to cross the road to what to have for lunch. Every decision involves weighing the options, remembering similar past scenarios, and feeling reasonably confident about the right choice. What may seem like a snap decision actually comes from gathering evidence from the surrounding environment. …
Read more “A new neural network makes decisions like a human would”
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Niche celebrities and right-wing activists are already hawking merchandise featuring the image of a bloodied Donald Trump raising his fist in the air.
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āI fully endorse President Trump and hope for his rapid recovery,ā Elon Musk posted on X after the incident.
Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged) robots.
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Beyond minimizing a single training loss, many deep learning estimation pipelines rely on an auxiliary objective to quantify and encourage desirable properties of the model (e.g. performance on another dataset, robustness, agreement with a prior). Although the simplest approach to incorporating an auxiliary loss is to sum it with the training loss as a regularizer, …
Read more “Careful With That Scalpel: Improving Gradient Surgery With an EMA”
NVIDIA is taking an array of advancements in rendering, simulation and generative AI to SIGGRAPH 2024, the premier computer graphics conference, which will take place July 28 ā Aug. 1 in Denver. More than 20 papers from NVIDIA Research introduce innovations advancing synthetic data generators and inverse rendering tools that can help train next-generation models. …
Every company’s AI journey will be different, but they all must explore, experiment, skill and reskill until AI is in their DNA.Read More