12 Posts
Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t.
Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t.
A new benchmark aims to raise the bar for large language models. Researchers at 132 institutions worldwide introduced the Beyond the Imitation Game benchmark (BIG-bench), which includes tasks that humans perform well but current state-of-the-art models don’t.
Machine learning is making wind power more predictable. Engie SA, a multinational energy utility based in France, is the first customer for an AI-powered tool from Google that predicts the energy output of wind farms.
A new benchmark aims to raise the bar for large language models. Researchers at 132 institutions worldwide introduced the Beyond the Imitation Game benchmark (BIG-bench), which includes tasks that humans perform well but current state-of-the-art models don’t.
People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t.
Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t.
Adding layers to a neural network puts the “deep” in deep learning, but it also increases the chance that the network will get stuck during training. A new approach effectively trains transformers with an order of magnitude more layers than previous methods.
Adding layers to a neural network puts the “deep” in deep learning, but it also increases the chance that the network will get stuck during training. A new approach effectively trains transformers with an order of magnitude more layers than previous methods.
Machine learning is making wind power more predictable. Engie SA, a multinational energy utility based in France, is the first customer for an AI-powered tool from Google that predicts the energy output of wind farms.
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