All Work Published on Machine Learning
New research using artificial intelligence suggests that number sense in humans may be learned, rather than innate. This tool may help us understand mathematical disabilities.
New research using artificial intelligence suggests that number sense in humans may be learned, rather than innate. This tool may help us understand mathematical disabilities.
Understanding the physics of wind currents above forest canopies may help wildfire managers forecast the flight paths of dangerous burning embers, or firebrands, which are responsible for most home destruction during wildfires.
Understanding the physics of wind currents above forest canopies may help wildfire managers forecast the flight paths of dangerous burning embers, or firebrands, which are responsible for most home destruction during wildfires.
A Stanford team has developed Sophia, a new way to optimize the pretraining of large language models that’s twice as fast as current approaches.
A Stanford team has developed Sophia, a new way to optimize the pretraining of large language models that’s twice as fast as current approaches.
Scholars outline the best possible uses for these tools and the path to deployment.
Scholars outline the best possible uses for these tools and the path to deployment.
The Multi-VALUE framework achieves consistent performance across dozens of English dialects.
The Multi-VALUE framework achieves consistent performance across dozens of English dialects.
Generative AI claims to produce new language and images, but when those ideas are based on copyrighted material, who gets the credit? A new paper from Stanford University looks for answers.
Generative AI claims to produce new language and images, but when those ideas are based on copyrighted material, who gets the credit? A new paper from Stanford University looks for answers.
