Image for post
Image for post

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:

Image for post
Image for post

From the Editor: Bots that can Talk About Anything

Conversational applications such as digital assistants or chatbots are one of the main use cases of artificial intelligence(AI) applications across diverse industries. Currently, most conversational models remain highly specialized and constrained to specific domains. As a result, most of our interactions with chatbots don’t feel natural as they lack the ability of humans to discuss several topics as part of the same interactions or lack common sense and basic knowledge about the world.

As conversational evolve, we should see a transition from domain-specific to more generic models that can discuss almost any topic that a user wants. This approach has been certainly implemented in some of the most popular digital assistants in the market but remain absent in most chatbot applications. Recently, researchers from Google unveiled a model that can engage in conversations across almost any topic. Certainly a trend to follow in the conversational interface space.

Now let’s take a look at the core developments in AI research and technology this week:

Image for post
Image for post

AI Research

Google AI researchers published a paper introducing Meena, a conversational model that can conduct domain-specific dialogs across almost any topic.

>Read more in this blog post from Google Research

Interpretability by Counterfactuals

Microsoft Research published a paper proposing a method that uses counterfactual explanations to understand the actions of machine learning models.

>Read more in this blog post from Microsoft Research

Transfer Learning for Answer Selection

Amazon Research published a paper describing a method that uses transfer learning to adapt robust language models such as BERT to the task of answer selection.

>Read more in this blog post from the Amazon Research team

Image for post
Image for post

Cool AI Tech Releases

Google has open sourced LaserTagger, a model that takes an innovative and highly efficient approach to text generation.

>Read more in this blog post from Google Research

OpenAI Standardizes on PyTorch

OpenAI is switching most of their implementation efforts to PyTorch and already open sourced new PyTorch-based versions of a couple of its efforts.

>Read more in this blog post from OpenAI

Iguazio

Enterprise AI platform Iguazio announced that it has raised $24 million to enable the development and deployment of machine learning models.

>Read more in this coverage from TechCrunch

Image for post
Image for post

AI in the Real World

The European Union wants to create a data marketplace to challenge the dominance of US tech giants when comes to data and AI.

>Read more in this coverage from Reuters

AI Against the Coronavirus

AI models are being used by epidemiologists to fight the recent outbreak of the coronavirus.

>Read more in this coverage from StatNews

AI-Designed Medicine that can be Used in Humans

A British startup and a Japanese pharmaceutical firm use AI to design a drug that is ready for human trials.

>Read more in this coverage from the BBC

Written by

CEO of IntoTheBlock, Chief Scientist at Invector Labs, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store