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.
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.
The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.
The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.
A chatbot persuaded at least one person that it has feelings. A senior engineer at Google announced his belief that the company’s latest conversational language model is sentient.
A chatbot persuaded at least one person that it has feelings. A senior engineer at Google announced his belief that the company’s latest conversational language model is sentient.
AI startups are helping writers tailor articles that appear near the top of Google’s search results. At least 14 companies sell access to software that uses GPT-3, the language model from OpenAI, to generate headlines, product descriptions, blog posts, and video scripts.
AI startups are helping writers tailor articles that appear near the top of Google’s search results. At least 14 companies sell access to software that uses GPT-3, the language model from OpenAI, to generate headlines, product descriptions, blog posts, and video scripts.
If you want to both synthesize data and find the probability of any given example — say, generate images of manufacturing defects to train a defect detector and identify the highest-probability defects — you may use the architecture known as a normalizing flow.
If you want to both synthesize data and find the probability of any given example — say, generate images of manufacturing defects to train a defect detector and identify the highest-probability defects — you may use the architecture known as a normalizing flow.
The emerging generation of trillion-parameter language models take significant computation to train. Activating only a portion of the network at a time can cut the requirement dramatically and still achieve exceptional results.
The emerging generation of trillion-parameter language models take significant computation to train. Activating only a portion of the network at a time can cut the requirement dramatically and still achieve exceptional results.
The next killer AI application may be developed by someone who has never heard of gradient descent. A rising generation of software development platforms serves users who aren’t familiar with AI — and even programming.
The next killer AI application may be developed by someone who has never heard of gradient descent. A rising generation of software development platforms serves users who aren’t familiar with AI — and even programming.
The higher the accuracy of a pretrained model, the better its performance after fine-tuning, right? Not necessarily. Researchers conducted a meta-analysis of image-recognition experiments and performed some of their own.
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