Jan 29, 2020

I just finished reading BJ Fogg’s new book, Tiny Habits: The Small Changes That Change Everything. Fogg explains that the best way to build a new habit is to start small and succeed, rather than starting too big and giving up.

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.

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 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

As employers turn to AI to evaluate job applicants, a U.S. state imposed limits on how such tools can be used. The Illinois legislature passed the AI Video Act, which gives candidates a measure of control over how hiring managers collect and store video interviews.

A new tool connects novice programmers with projects that match their experience and interests. Github’s Good First Issues tool uses deep learning to find easy-to-fix issues among the collaborative software development platform’s multitude of open source projects.

I just finished reading BJ Fogg’s new book, Tiny Habits: The Small Changes That Change Everything. Fogg explains that the best way to build a new habit is to start small and succeed, rather than starting too big and giving up.