Machine learning algorithms often struggle with geometry. A language model learned to prove relatively difficult theorems.
Machine learning algorithms often struggle with geometry. A language model learned to prove relatively difficult theorems.
A neural network makes music for unaccompanied vocal tracks. Chris Donahue, Antoine Caillon, Adam Roberts, and colleagues at Google proposed SingSong, a system that generates musical accompaniments for sung melodies. You can listen to its output here.
A neural network makes music for unaccompanied vocal tracks. Chris Donahue, Antoine Caillon, Adam Roberts, and colleagues at Google proposed SingSong, a system that generates musical accompaniments for sung melodies. You can listen to its output here.
GPT-4V introduced a large multimodal model that generates text from images and, with help from DALL-E 3, generates images from text. However, OpenAI hasn’t fully explained how it built the system. A separate group of researchers described their own method.
GPT-4V introduced a large multimodal model that generates text from images and, with help from DALL-E 3, generates images from text. However, OpenAI hasn’t fully explained how it built the system. A separate group of researchers described their own method.
It’s well known that large language models can make assertions that are blatantly false. But can they concoct outright lies? In a proof-of-concept demonstration, Jérémy Scheurer, Mikita Balesni, and Marius Hobbhahn at Apollo Research...
It’s well known that large language models can make assertions that are blatantly false. But can they concoct outright lies? In a proof-of-concept demonstration, Jérémy Scheurer, Mikita Balesni, and Marius Hobbhahn at Apollo Research...
This year, AI became virtually synonymous with generative AI. Launched in November 2022, OpenAI’s ChatGPT ushered in a banner year for AI-driven generation of text, images, and an ever widening range of data types.
This year, AI became virtually synonymous with generative AI. Launched in November 2022, OpenAI’s ChatGPT ushered in a banner year for AI-driven generation of text, images, and an ever widening range of data types.
A novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of an image relate to the whole.
A novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of an image relate to the whole.
The original DINO showed that a vision transformer pretrained on unlabeled images could learn representations that were sufficient for classifying and segmenting images. In an update of that work, the model learned representations useful in a wider variety of tasks.
The original DINO showed that a vision transformer pretrained on unlabeled images could learn representations that were sufficient for classifying and segmenting images. In an update of that work, the model learned representations useful in a wider variety of tasks.
Researchers proposed a way for robots to find objects in households where things get moved around. Andrey Kurenkov and colleagues at Stanford University introduced Node Edge Predictor, a model that learned to predict where objects were located in houses.
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