"I think it will be really interesting to see what the long-term consequences are on mothers' career opportunities," said Ariane Hegewisch, the program director in employment and earnings at the Institute for Women's Policy Research. "Women have continued to work, but they clearly had to cut back." America's long-running caregiving shortage, for both children and older adults, was compounded by the pandemic. The professional caregiving work force -- also disproportionately female -- hasn't recovered. More than one child care worker in 10 hasn't returned, according to the Bureau of Labor Statistics (although that data may not capture all the single-employee, home-based operators that make up a huge part of the sector).

This book is not an introduction to ML. There are many books, courses, and resources available for ML theories, and therefore, this book shies away from these concepts to focus on the practical aspects of ML. You don't have to know these topics inside out--for concepts whose exact definitions can take some effort to remember, e.g., F1 score, we include short notes as references--but you should have a rough sense of what they mean going in. While this book mentions current tools to illustrate certain concepts and solutions, it's not a tutorial book. Tools go in and out of style quickly, but fundamental approaches to problem solving should last a bit longer.

AI chatbot company Replika is receiving messages from customers who believe their AI companions are actually sentient. Replika is only one company in the social chatbot industry that saw an increase in users during the recent pandemic. The question of whether or not an AI has become sentient is always in the back of many people's minds. Recently, a Google engineer who was placed on leave claimed that Google's LaMDA AI chatbot was in fact wanting to be considered sentient. Blake Lemoine was doing ethics research into the chatbot when he formed his opinion.

Science is progressing in this digitally advanced world. This includes computer science, medical facilities and many other fields. But the amazing part is these branches often fuse to form a new one.

Since GPT-2, there has been much excitement around the applications of large language models. And in the past few years, we've seen LLMs used for many exciting tasks, such as writing articles, designing websites, creating images, and even writing code. But as I have argued before, there's a wide gap between showing a new technology do something cool and using the same technology to create a successful product with a workable business model. Microsoft, I think, just launched the first real LLM product with the public release of GitHub Copilot last week. This is an application that has a strong product/market fit, has immense added value, is hard to beat, is cost-efficient, has very strong distribution channels, and can become a source of great profit.

RoboCup 2022 will take place in Bangkok, Thailand, from 13-17 July. The event will see around 3000 participants, from 45 different countries take part in competitions and a symposium. You can see the schedule for the week here. The RoboCup symposium will take place on 17 July. The programme can be found here.

"God of War Ragnarok," the mythological mega-sequel to 2018′s soft series reboot "God of War," arrives Nov. 9, 2022, to PlayStation 4 and PlayStation 5, Sony announced in a blog published Wednesday. But the road to the long-awaited release date has been anything but straightforward. The month of June saw expectant fans rumormonger themselves into a frenzy, ultimately unleashing their pent-up fury on developers who have spent the past several years working tirelessly to create the game.

People quickly become convinced that a human-like robot is capable of independent thoughts and emotions, a new study has found. This occurs when a robot appears to act on its own beliefs and desires, rather than on what it is programmed to do. Researchers from the Italian Institute of Technology probed the response of study participants to an anthropomorphic robot called iCub. The participants completed a questionnaire before and after interacting with iCub, that was programmed to act either like a robot or in a more friendly manner. It was found that those exposed to the robot programmed to act more like a human were more likely to rate the robot's actions as intentional.

This article was published as a part of the Data Science Blogathon. Now, we enter the secret sauce: CM_Norm adjusts the colour-bar, such that its point of origin is equal to the accuracy expected for a random prediction. Essentially, the "naive-prediction accuracy" is our "point of origin" because a model which predicts worse than a coin-flip, is not a helpful model to begin with (hence the name: "coin-flip confusion-matrix"). In other words, we are interested in a models "excess performance", rather than its "absolute" error rates. To give two examples: For 3 different classes, the "point of origin", of the colour-bar, would be set at 1/3, or for 10 classes it would be set at 1/10.

We live in a world where data is king. Our lives, our personal information, our finances, our jobs, our entertainment, everything is digitalized and stored as data. As a result of this increase in the generated data, there is a need for appropriate learning and maintenance. That's where the field of data science becomes very important. Of course, you need the right tools to perform all the tasks related to data science.