Top Twitter Topics by Data Scientists #25

Trending this week: Tracking child language development using a biLSTM model; How companies should adopt AI while protecting their employees; Robots that can mimic human facial expressions.

Every week we analyze the most discussed topics on Twitter by Data Science & AI influencers.

The following topics, URLs, resources, and tweets have been automatically extracted using a topic modeling technique based on Sentence BERT, which we have enhanced to fit our use case.

Want to know more about the methodology used? Check out this article for more details, and find the codes in this Github repository!


This week, Data Science and AI influencers on Twitter have talked about:

  • Concrete Deep Learning Use Cases
  • Does AI Mean Human Unemployment?
  • Advances In Robotics

The following sections provide all the details for each topic.

Concrete Deep Learning Use Cases

This week, some influencers have shared articles providing some concrete examples of the application of deep learning (DL) in real life.

Marcus Borba shared a post talking about Major trends of Business applications using the Convolutional Neural Network. This article explains what is a convolutional neural network (CNN), and provides three examples of the application of CNN:

  • Image Classification, which Google, Facebook, and Amazon are using for image tagging — provides a word or a word combination that describes the images and makes them easier to find. It is also one of the foundation elements of visual search;
  • Face Recognition, that social media for example use. Facebook Messenger’s filters and Snapchat Looksery filters are the most prominent examples. The filters jump from the autogenerated basic layout of the face and attach new elements or effects.;
  • Optical Character Recognition (OCR), which the eCommerce platforms such as Amazon use, for image tagging and further descriptions of the image content for better indexing and navigation. Legal organizations, as banking and insurance, use also use OCR of handwriting.

Dr. Ganapathi Pulipaka has also shared some real-life DL-based use cases:

An article on Tracking Child Language Development With Neural Network Language Models. This post presents a new evaluation methodology, based on the use of natural language processing, for tracking language development. The goal is not to create a new metric, but to examine whether computational models built only from transcribed utterances can capture how child language utterances change through the course of language development at a fine enough resolution to serve as a foundation for new ways to measure syntactic development.

A post on Breast Cancer Detection Using Deep Learning, which shows how deep neural network techniques can be used to improve the detection of breast cancer. The data used in this article are from the famous Breast Cancer Wisconsin (Diagnostic) dataset. A convolutional neural network is used to classify tumors as malignant or benign with high accuracy, in order to improve early diagnosis significantly.

Does AI Mean Human Unemployment

This week, some influencers have shared content talking about the impact of the use of artificial intelligence on humans employment, and the undoubtedly fear associated with this idea.

Terence Mills shared:

An article titled “No Job Is Future-Proof. How To Adopt AI While Protecting Your Employees”. This post opens the reflection on what’s the real human cost of embracing an AI-driven future. It states that the new jobs created by AI often call for entirely different skillsets — ones that are hard to acquire. This post suggests that to prepare your organization for the future, you must go back in time to study the previous waves of automation, as technology-driven change is not new, and we aren’t starting from scratch today. When automation makes roles redundant, leaders must communicate transparently, plan ahead for redeployment, and share how the organization can help employees with the transition.

An article titled “Artificial Intelligence Is Not Taking Your Coding Job Anytime Soon”. This post addresses the fear that AI would take our jobs and leave us unemployed. It states that there’s little reason to fear AI taking your coding job. Coding is primarily a creative profession, and as it stands, neural networks are fundamentally incapable of having new ideas. So, AI-powered coding tools like GitHub Copilot can’t do your job.

On his side, Marcus Borba shared an article discussing The Role of Enterprises: Is Artificial Intelligence (AI) Taking Away Jobs? This post discusses the fact that while AI has been a blessing for the majority of people around us, it is turning out to be a bane for someone. 

The following points are addressed:

  • How does Artificial Intelligence affect Employment?
  • Will AI replace everything all of a sudden?
  • How Employers ensure the safety of Employees?
  • How can the future be less Obsolete?

In particular, this post gives some keys to help companies embracing AI to deal with the skill differences in machines and humans, in order to protect their employees.

Advances In Robotics

This week, some influencers have shared articles presenting recent advances in the field of robotics.

Marcus Borba shared an article on Facebook’s AI researchers teaching robots to walk like humans. The article talks about Rapid Motor Adaptation which is a “breakthrough” in artificial intelligence. It allows robots to walk on sand, in mud, hiking trails, tall grass, and over a dirt pile “without a single failure” during trials.

He also shared an article on how smart foam gives robots the ability to self-repair and sense objects. It talks about artificially innervated foam, or AiFoam — which is soft and feels like a sponge — mimics the human sense of touch, can sense nearby objects without actually touching, and repairs itself when damaged.

Ronald van Loon shared some really interesting applications of robots across multiple fields. He shared a video exhibiting a Robotic snake that is able to climb up trees autonomously. And a video of a Robot that carries your groceries wherever you go.

He also shared a video of a Robot that can mimic human facial expressions. A similar tweet to this was also shared by Jean-Baptiste Lefevre which shows soft robots imitating humans.

And finally, ipfconline shared an article on Helping robots avoid collisions. In this piece, Realtime Robotics has created a controller that helps robots safely move around on the fly. This helps robots to get around and removing robot restraints.