Daily Digest | October 22, 2018

From Agriculture to Art — the A.I. Wave Sweeps In | The New York Times

A.I. is marching into practically every field, from agriculture to the arts. Here are five examples. (1) Medicine: A.I. holds the promise of sharply reducing the amount of costly and lengthy trial and error in traditional drug development and testing. (2) Agriculture: A simple A.I. assistant diagnoses crops disease or pest blight and suggests low-tech treatments. (3) Heavy Equipment: Data is fed into A.I. software, which looks for telltale signals that a machine is in need of maintenance or a new part. (4) Insurance: myriad sensor data is parsed by clever software for signals of risky driving behavior. (5) Art: Many computer artists are using A.I. tools to create new imagery, design interactive visual experiences and probe machine intelligence.

Original article

 

Integrative Molecular Characterization of Malignant Pleural Mesothelioma | Cancer Discovery

Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. Researchers conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. They identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. They also report strong expression of the immune checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy.

Research paper

 

Tencent AI Lab Embedding Corpus for Chinese Words and Phrases | Tencent AI Lab

Tencent AI Lab open-sourced embedding corpus for Chinese words and phrases, which includes 200-dimension vector representations, a.k.a. embeddings, for over 8 million Chinese words and phrases, pre-trained on large-scale high-quality data. These vectors, capturing semantic meanings for Chinese words and phrases, can be widely applied in many downstream Chinese processing tasks (e.g., named entity recognition and text classification) and in further research.

Original article

 

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