The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.
A new generative model croons like Elvis and raps like Eminem. It might even make you think you’re listening to a lost demo by the Beatles. OpenAI released Jukebox, a deep learning system that has generated thousands of songs in styles from country to metal and soul.
A new generative model croons like Elvis and raps like Eminem. It might even make you think you’re listening to a lost demo by the Beatles. OpenAI released Jukebox, a deep learning system that has generated thousands of songs in styles from country to metal and soul.
A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.
A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.
Last week we reported on a formula to determine model width and dataset size for optimal performance. A new paper contributes equations that optimize some training parameters.
Last week we reported on a formula to determine model width and dataset size for optimal performance. A new paper contributes equations that optimize some training parameters.
An icon of idealism in AI stands accused of letting its ambition eclipse its principles. Founded in 2015 to develop artificial general intelligence for the good of humankind, OpenAI swapped its ideals for cash.
An icon of idealism in AI stands accused of letting its ambition eclipse its principles. Founded in 2015 to develop artificial general intelligence for the good of humankind, OpenAI swapped its ideals for cash.
Earlier language models powered by Word2Vec and GloVe embeddings yielded confused chatbots, grammar tools with middle-school reading comprehension, and not-half-bad translations. The latest generation is so good, some people consider it dangerous.
The future of machine learning may depend less on amassing ground-truth data than simulating the environment in which a model will operate. Deep learning works like magic with enough high-quality data. When examples are scarce, though, researchers are using simulation to fill the gap.
The future of machine learning may depend less on amassing ground-truth data than simulating the environment in which a model will operate. Deep learning works like magic with enough high-quality data. When examples are scarce, though, researchers are using simulation to fill the gap.
Earlier language models powered by Word2Vec and GloVe embeddings yielded confused chatbots, grammar tools with middle-school reading comprehension, and not-half-bad translations. The latest generation is so good, some people consider it dangerous.
OpenAI trained a five-fingered robotic hand to unscramble the Rubik’s Cube puzzle, bringing both acclaim and criticism. The AI research lab OpenAI trained a mechanical hand to balance, twist, and turn the cube.
OpenAI trained a five-fingered robotic hand to unscramble the Rubik’s Cube puzzle, bringing both acclaim and criticism. The AI research lab OpenAI trained a mechanical hand to balance, twist, and turn the cube.
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