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: PyTorch vs. TensorFlow

Very often our customers asked about preferred frameworks for deep learning development. From years, TensorFlow has been the undisputed leader in the deep learning framework space with a massive developer community and the support of Google. Frameworks like Keras even make the development of TensorFlow models extremely easy. All those factors have made TensorFlow a favorite of teams starting in their deep learning journey. However, the space has a new challenger.

PyTorch is quickly becoming one of the most popular frameworks in the deep learning space and one that is experiencing rapid adoption of customers and developers. Backed by Facebook, PyTorch is enjoying an energetic community and has been quickly adopted by the data science community given its flexibilities for rapidly prototyping models. Recently, AI powerhouse OpenAI announced that it was switching to PyTorch as its main development framework. Certainly an option to consider.

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

AI Research

Control Action from Images

Microsoft Research published a paper proposing a machine learning model that can infer actions to take in an environment based on images.

>Read more in this blog post from Microsoft Research

Learning to Manipulate Object by Using Pretrained Models

AI researchers from Google and MIT proposed a model for using transfer learning for teaching robots to manipulate objects.

>Read more in this blog post from Google Research

Graph Neural Networks in Action

Amazon AI researchers published a paper proposing a technique for combining the information of multiple knowledge graphs into one.

>Read more in this blog post from Amazon Science

Cool AI Tech Releases


AI researchers from Google and DeepMind open sourced Dreamer, a framework for training reinforcement learning agents in long-term tasks.

>Read more in this blog post from Google Research

Extending Windows ML

Microsoft is announcing that is expanding the support of Windows ML, the popular framework for running machine learning models in Window devices, to older systems.

>Read more in this blog post from the Windows development team

AI in the Real World

AI and Robotic Automation

Robotic automation is one of the hottest trends in enterprise software and now its being extended with AI.

>Read more in this coverage of Wired

A New Law Firm Focused on AI

AI poses new legal challenges, Bnh.ai is a new law firm focused solely in these new challenges.

>Read more in this coverage from VentureBeat

Transcribe for Android

Google Translate today launched Transcribe for Android, a feature that delivers a continual, real-time translation of a conversation.

>Read more in this coverage from The Verge

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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