In a paper originally published last October and accepted to the International Conference on Learning Representations (ICLR) 2020, researchers affiliated with Google and the University College London propose an AI model that enables control of speech characteristics like pitch, emotion, and speaking rate with as little as 30 minutes of data.
The work has obvious commercial implications. Brand…
Duolingo’s AI drives its English proficiency tests
April 30, 2020
Language learning startup Duolingo leverages AI and machine learning to create and score English proficiency tests automatically, reveals a paper published in the journal Transactions of the Association for Computational Linguistics. In it, researchers peel back the curtains…
Demonstrating once again the potential of video games to advance AI and machine learning research, Facebook researchers propose a game-like language challenge — Read to Fight Monsters (RTFM) — in a paper that the International Conference on Learning Representations…
LinkedIn today announced a new AI-powered feedback tool for people practicing answers to job interview questions. The Microsoft-owned company claims that in early tests, it resulted in a “significant increase” in LinkedIn members rehearsing their answers.
The tool taps into technology Microsoft developed for Presenter Coach, a PowerPoint feature designed to provide guidance with respect to…
Resistant AI has raised $2.75 million in venture capital to develop an artificial intelligence system that protects algorithms from automated attacks.
Index Ventures and Credo Ventures led the investment, which also included participation by Seedcamp; Daniel Dines, CEO of…
Google today launched Google Duplex, its AI chat agent that can arrange appointments over the phone, in Spain to automate the updating of business hours across Google Search and Google Maps. For the first time, it’s speaking in Spanish — Duplex previously only spoke in…
In a recent study conducted in collaboration with Calico Life Sciences, Google researchers built a “genome-wide” machine learning model for the regulation of gene expression — the process by which information from a gene is used to create functional protein or RNA — in a species of yeast. While the work focused on yeast, it could be applicable to humans because it reveals how genes work…
In a new preprint study published this week on Arxiv.org, researchers at the University of Cambridge, University College London, Ecole de Guerre Economique in Paris, the University of Science and Technology in Hong Kong, and The Family Federation of Finland propose two AI…
During a workshop hosted at the International Conference on Learning Representations (ICLR) 2020, taking place on the web this week, panelists discussed how AI and machine learning might be — and already has been — applied to agricultural challenges. As several experts…
Salesforce’s AI Economist taps reinforcement learning to generate optimal tax policies
April 29, 2020
Salesforce today announced the AI Economist, a research environment designed to elucidate how economic design might be improved with techniques from the field of AI and machine learning. The goal is to help economists, governments, and others design tax policies that optimize not only productivity and conservation, but that promote widespread, whole-country social equality.
Studies have shown that…
