Original article can be found here (source): Deep Learning on Medium
Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:
From the Editor: Machine Learning for Quantum
Quantum computing is likely to be the next big technology revolution and one that its going to change many of the established principles of computer science. Artificial intelligence(AI) is one of the disciplines that its likely to be accelerated by the advent of quantum computing. However, most machine learning models would need to be reimagined to work in quantum architectures and that will require a new generation of frameworks.
This week, Google AI announced the release of TensorFlow Quantum(TFQ), a new framework that enables the creation of machine learning models and datasets that work on quantum architectures. The beauty of TFQ is that it allow developers to leverage the familiar TensorFlow tools and libraries making it easier for data scientists and researchers to jump into this new world. Certainly a project worth following in the next few years.
Now let’s take a look at the core developments in AI research and technology this week:
Amazon Smart Search Queries
AI researchers from Amazon published a paper proposing a neural network for predicting context of use from customer queries.
In a new research paper, Google proposes ELECTRA, a new pre-training technique that enables the implementation of more efficient NLP models.
Facebook AI researchers published a paper describing Rewarding Impact-Driven Exploration (RIDE), an intrinsic reward method that encourages AI-driven agents to take actions, versus just exploring, in an environment.
Cool AI Tech Releases
Google open sourced TensorFlow Quantum, an open source framework for prototyping quantum machine learning models.
LinkedIn Data Sentinel
LinkedIn unveiled the details behind their platform for data quality and validation.
Cloud AI Platform Pipelines
Google Cloud introduced AI Platform Pipelines, a new platform to simplify machine learning development.
AI in the Real World
The White House, AI and Coronavirus
US Chief Technology Officer Michael Kratsios previewed a database of coronavirus-related information and urged AI companies to use to find solutions that help fight the pandemic.
Kaggle Coronavirus Challenge
A new Kaggle challenge is looking to predict the spread of coronavirus.
IBM Adds Project Debater to Watson
IBM is going to leverage Project Debater as part of Watson’s sentiment analysis, summarization, and clustering topics found in language.