Google is relaunching the chat application "Chat" in a new form

The new Google Chat application logo

The American company Google launched the new, redesigned version of its instant messaging application, “Google Chat,” for Android users.

The redesign process included introducing a new icon for the application to be in line with the design of icons in other Google applications, with various colors inspired by the company's logo.

Google removed the traditional bottom bar, and added several tabs for the home page, direct messages, spaces, and bookmarks in a new floating bar at the bottom of the interface. Google did not put any labels on the tabs and was content with only clear icons that could be navigated easily. The name of the tab appears when it is opened at the top of the interface, next to the new bar. There is a small floating button to create a new conversation or space.

The bottom bar in the Google Chat application previously contained only the Chat and Spaces tabs, with a relatively large floating button above it, while its icon was very similar to the icon of the old Hangouts application.

The Google Chat application is considered one of the basic applications in the Google Workspace package, and it mainly focuses on communicating via instant messages between groups and work teams, while users can conduct video calls and meetings via another application, which is “Google Meet” ( Google meet).

Google had begun launching the chat application in 2020 for all users, to gradually replace the “Hangouts” application, which it announced officially closing at the end of last year.

It is expected that the new design of the application will be released for users of iPhones and iPad tablets at a later time, as Google is working to provide a unified user experience across all operating systems.

A calculator that accurately predicts a person's death based on their life story

london - Scientists have created an artificial intelligence calculator that can predict the date of death with up to 78 percent accuracy. It can also determine how much money a person may have at the time of their death. But unlike other models, LiveToFick's model works like a chatbot, using existing details to predict what will come next.

The model was created by scientists in Denmark and the United States who trained a machine learning algorithm on a huge set of Danish data, feeding it all kinds of information about more than six million real people, including income, occupation, place of residence, injuries, pregnancy and other fine details. The end result was a model that could process simple language and generate predictions about a person's likelihood of dying early or the value of their income over their lifetime.

Some factors that can lead to premature death include being male, having been diagnosed with a mental condition, or having a skilled occupation. Things associated with a longer life include higher income or assuming a leadership role. Taking into account each part of your life as if they were words in a sentence, LiveTovik predicts where a person's life story will go based on what has been written so far.

Just as GPT users ask him to write a song, poem, or article, scientists can ask Lavtovik simple questions like, “Death within four years?” For a specific person.

Just as GBT chat users ask to write a song, poem, or article, scientists can ask Livetovik simple questions like, “Death within four years?” For a specific person

The model was trained on data from 2008 to 2016. Based on their demographic data, it correctly predicted who would die by 2020 in more than three-quarters of cases. The research appeared in the journal Nature Computational Science.

The personal information of the people whose data was used to train the system is protected, as it is not available for the general public or companies to use, according to what lead researcher Sonny Lehman told the British “Daily Mail” website.

“We are actively working on finding ways to share some of the results more openly, but this requires conducting more research in a way that can ensure the privacy of people in the study,” said Lehmann, professor of networks and complex systems at the Technical University of Denmark.

Even when the model is finally available to the public, Danish privacy laws will make it illegal to use LiveTovik to make decisions about individuals such as writing insurance policies or making employment decisions.

In the same way that ChatGPT and other large language models are trained on a set of existing written works, LiveToFick is taught by data from people's lives, written as a series of data-rich sentences.

Some factors that can lead to premature death include being male, having been diagnosed with a mental condition, or pursuing a skilled occupation

These include sentences such as “In September 2012, Francisco received twenty thousand Danish kroner as a guard at a castle in Elsinore,” or “During her third year at secondary boarding school Hermione took five elective classes.” Lehman and his team assigned different codes to each piece of information, and all of these pieces of data were mapped in relation to each other.

Categories in people's life stories span the full range of human experiences: a broken forearm is represented by the symbol S52; Work in a tobacco shop is coded by another code, and income is represented by 100 different digital codes; Postpartum hemorrhage is O72.

Although many of these relationships are intuitive, such as career and income, some jobs make more money. But what Levtovic does is map out the huge array of factors that shape an individual's life, allowing someone to ask them to make a prediction based on millions of other people and many, many more factors. It can also make predictions about individuals' personality.

To do this, Lehman and his team trained the model to predict people's answers to questions on a personality test. The test asks participants to rate 10 items based on how much they agree, such as “The first thing I always do in a new place is make friends,” or “I rarely express my opinions in group meetings.”

It's important to note that the data all came from Denmark, so these predictions may not apply to people living elsewhere, along with the fact that most people probably don't actually want to know when they'll die. While some followers on social media said that they want to know when they will die so that they can do things or make plans accordingly. One user wrote that “Liftovic” causes anxiety and panic in people instead of serving as anything positive. Others responded with funny theories.

“The model opens up important positive and negative viewpoints to be discussed and addressed politically,” Lehman told Newsways.

He continued, “Similar techniques to predict life events and human behavior are already being used today within technology companies that, for example, track our behavior on social networks, describe us very accurately, and use these files to predict our behavior and influence us.” He believes that “this discussion should be part of the democratic conversation so that we can look at where technology is taking us and whether this is the development we want.”