2-Min AI Newsletter #6

AI is rapidly evolving and growing more complex every day. In order to keep up with the latest advances, it's important to stay informed about the latest research news related to AI and machine learning. The 2 Minute AI Newsletter is a great resource for staying up-to-date on the latest developments in these fields. In this edition, we'll share some of the latest research news related to AI, machine learning, deep learning, and computer vision. We hope you find it informative!

???? ?? Latest AI/ML Research Highlights?

???Sentient AI? Convincing you it’s human is just part of LaMDA’s job

In order for an artificial intelligence to truly be sentient, it would need to be able to think, perceive, and feel rather than simply use language in a highly natural way.?It is not sufficiently able to tell us anything about a machine's level of consciousness (or lack thereof). Therefore, while it's clear that LaMDA has passed the Turing Test with flying colors, this in itself does not prove the presence of a self-aware consciousness. It proves only that it can create the illusion of possessing a self-aware consciousness, which is exactly what it has been designed to do.

???Researchers at Stanford have developed an Artificial Intelligence (AI) model, EG3D, that can generate random images of faces and other objects with high resolution together with underlying geometric structures

The AI model EG3D, created by a team of Stanford academics, can be used to produce random high-resolution images of faces and other things having an underlying geometric structure. This model is one of the first 3D models now in use to reach rendering quality close to photorealism.

??FIFA will track players’ bodies using?AI?to make offside calls at 2022 World Cup

FIFA, the international governing body of association football,* has announced it will use AI-powered cameras to help referees make offside calls at the 2022 World Cup. The?semi-automated system?consists of a sensor in the ball that relays its position on the field 500 times a second, and 12 tracking cameras mounted underneath the roof of stadiums, which use machine learning to track 29 points in players’ bodies.

???AWS Researchers Develop ‘TabTransformer’ to Bring the Power of Deep Learning to Data in Tables

The top-performing AI systems have deep neural networks at their core. For instance, Transformer-based language models like BERT are typically the foundation for natural language processing (NLP) applications. Applications that rely on data contained in tables have been an exception to the profound learning revolution, as methods based on decision trees have often performed better. Researchers at AWS have been focusing on developing TabTransformer, a brand-new, deep, tabular data-modeling architecture for supervised and semi-supervised learning. TabTransformer expands Transformers beyond natural language processing to table data.

???Startup Featured For This Issue

???This Swedish Startup (Validio) is Helping Data-Driven Companies with its Data Quality Platform to Abstract Complexity from Data Engineering

Data has become essential for businesses to comprehend and analyze underlying patterns, sales, and growth. One problem is that data-driven companies may employ inaccurate data. Although data is present everywhere today, the quality is poor. More data need not guarantee good results; quality data does. Having quality data prevails over having more. But improving the quality of an enormous amount of data is a time-consuming and tedious process.?Validio, a Sweden-based company, is helping data-driven companies solve this problem with end-to-end data quality monitoring and validation in data warehouses and real-time streams. By providing a cutting-edge data quality platform for any size modern data-driven enterprise, they abstract complexity away from data engineering.