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What Are The Most Exciting Trends In AI In 2019?
1. Maturation of the Tooling Ecosystem
2. Training Data
3. Explainability
4. Model Management, Performance and Monitoring
5. Privacy Preserving Machine Learning
ai  artificial  intelligence  trend  trends  2019  forbes  quora  article 
september 2019 by yencarnacion
[1907.08584] CraftAssist: A Framework for Dialogue-enabled Interactive Agents
https://github.com/facebookresearch/craftassist

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions. The purpose of building such an assistant is to facilitate the study of agents that can complete tasks specified by dialogue, and eventually, to learn from dialogue interactions.
fb  facebook  ai  artificial  intelligence  bot  assistant  robot  generalist  github  open  source  minecraft 
september 2019 by yencarnacion
3 Powerful Uses of Machine Learning in Marketing
Uncovering trends 
Targeting the right influencers
Analyzing campaigns
ai  artificial  intelligence  machine  learning  use  uses  case  cases  marketing  entrepreneur  magazine  article 
august 2019 by yencarnacion
yencarnacion/google-research: Google AI Research
Training Data:
# Prostate
https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga
# breast
https://camelyon16.grand-challenge.org/
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The Camelyon16 dataset utilized to develop the deep learning algorithms used in this study is available from the Camelyon challenge8 (https://camelyon16.grand-challenge.org/). The prostate dataset from TCGA that was used to develop the deep learning algorithms used in this study is available from the Genomic Data Commons portal (https://portal.gdc.cancer.gov/), which is based on data generated by the TCGA Research Network (http://cancergenome.nih.gov/).
---
https://doi.org/10.1038/s41591-019-0539-7
github  google  cancer  research  open  source  ai  artificial  intelligence  ml  machine  deep  learning  pdf  paper  microscope  ar  augmented  reality 
august 2019 by yencarnacion
How could AI improve the NHS?
So how could AI improve the NHS as a whole?

Faster cancer screening test results, including mammograms, brain scans, eye scans and heart monitoring.

Better estimates for future needs of beds, drugs, devices, or operations.

Help identifying those most at risk of diseases such as heart disease or dementia, thereby diagnosing problems earlier.

Working out which patients can access treatment in the community instead of in hospital.

Automating some routine admin tasks, freeing up clinicians’ time as well as upskilling NHS staff so they can use AI systems for day-to-day tasks.

Building systems to detect people at risk of post-operative complications, infections or requiring a follow-up from clinicians.
ai  artificial  intelligence  health  medicine  medical  healthcare  benefit  benefits  advantage  advantages 
august 2019 by yencarnacion
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