Chinese tech giants have opened their AI platforms to scientists fighting coronavirus. Alibaba Cloud and Baidu are offering a powerful weapon to life-science researchers working to stop the spread of the illness officially known as Covid-19: free access to their computing horsepower and tools.
Chinese tech giants have opened their AI platforms to scientists fighting coronavirus. Alibaba Cloud and Baidu are offering a powerful weapon to life-science researchers working to stop the spread of the illness officially known as Covid-19: free access to their computing horsepower and tools.
Androids may not dream of electric sheep, but some crack jokes about horses and cows. Meena, a 2.6-billion parameter chatbot developed by Google Brain, showed impressive conversational ability, discussing a variety of topics.
Androids may not dream of electric sheep, but some crack jokes about horses and cows. Meena, a 2.6-billion parameter chatbot developed by Google Brain, showed impressive conversational ability, discussing a variety of topics.
A new system marks a step forward in converting text to speech: It’s fast at inference, reduces word errors, and provides some control over the speed and inflection of generated speech.What’s new: Yi Ren, Yangjun Ruan, and their co-authors at Zhejiang
Can machine learning help address the scourge of opioid addiction? A public health researcher developed a neural network that spots sellers of opioids on social media, Recode reported.
School teachers may not like to hear this, but sometimes you get the best answer by peeking at your neighbor’s paper. A new language model framework peeks at the training data for context when making a prediction.
A new system marks a step forward in converting text to speech: It’s fast at inference, reduces word errors, and provides some control over the speed and inflection of generated speech.What’s new: Yi Ren, Yangjun Ruan, and their co-authors at Zhejiang
School teachers may not like to hear this, but sometimes you get the best answer by peeking at your neighbor’s paper. A new language model framework peeks at the training data for context when making a prediction.
Can machine learning help address the scourge of opioid addiction? A public health researcher developed a neural network that spots sellers of opioids on social media, Recode reported.
A company that analyzes online information to predict epidemics spotted the upsurge in coronavirus at least a week ahead of public-health authorities. Canadian startup BlueDot alerted customers to the outbreak in he Chinese city of Wuhan on New Year’s Eve.
A company that analyzes online information to predict epidemics spotted the upsurge in coronavirus at least a week ahead of public-health authorities. Canadian startup BlueDot alerted customers to the outbreak in he Chinese city of Wuhan on New Year’s Eve.
Softmax commonly computes probabilities in a classifier’s output layer. But softmax isn’t always accurate in complex tasks — say, in a natural-language task, when the length of word vectors is much smaller than the number of words in the vocabulary.
Softmax commonly computes probabilities in a classifier’s output layer. But softmax isn’t always accurate in complex tasks — say, in a natural-language task, when the length of word vectors is much smaller than the number of words in the vocabulary.
In tasks that involve generating natural language, neural networks often map an input sequence of words to an output sequence of words. Facebook researchers used a similar technique on sequences of mathematical symbols, training a model to map math problems to math solutions.
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