Advocates for artificial intelligence say there have been no widespread reports of cheating or harmful content in classrooms that have implemented AI learning for kids. Bard is one of the newest artificial intelligence chatbots. The AI chatbot, created by Google, was released in March 2023, after an initial announcement in February. The software was released to a limited amount of users for testing. The chatbot comes on the heels of the release of one of its major competitors, OpenAI's ChatGPT, and has very similar functions to that model.

New Google machine learning model is better state of the art for solving natural language processing tasks.

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Twitter announced a new feature that encourages Android Twitter users to read an article before reading it. This raised suspicions that Twitter was tracking user clicks. The move is part of Twitter's stated goal to encourage "informed discussion." Often people share a link without reading the article. That results in click bait titles getting widely promoted regardless of the content.

Facebook dominated the year in terms of app downloads, with 4 out of 5 of the most downloaded apps belonging to the same company. App Annie's year-end report shows that worldwide app downloads hit a record high of 120 billion across iOS and Android in 2019, which represents a 5% year-over-year increase. Related: 6 Things Marketers Should Know About Facebook's App Integrations It should be noted that App Annie's data does not included include re-installs or app updates, only net new downloads are counted. Consumer spending on apps is growing as well and will approach $90 billion worldwide in 2019. App Annie created a separate list of breakout apps, which those with the largest absolute growth in downloads between 2018 and 2019.

According to new data, up to 80% of popular US-based e-commerce stores use JavaScript on crucial content such as product descriptions. That's an alarming number considering any time JavaScript is used to generate important content it runs the risk of not being indexed in search results. Google is getting better at crawling and rendering JavaScript, but it's not perfect. The company still recommends using static HTML as much as possible. The study, from software company Onely, found that 25% of web pages analyzed contained crucial JavaScript content that was unindexed by Google.

Google's newest algorithmic update, BERT, helps Google understand natural language better, particularly in conversational search. BERT will impact around 10% of queries. It will also impact organic rankings and featured snippets. So this is no small change! But did you know that BERT is not just any algorithmic update, but also a research paper and machine learning natural language processing framework?

Google has updated its video structured data help document with new information on some of the latest enhancements to video search results. The updated document has details on how to mark timestamps on YouTube videos, how to monitor performance in Search Console, and more screenshots to show the new structured data types in action. The Google video structured data doc got a big refresh – More screenshots! Here's a rundown of the new information that was added. Google may display timestamps alongside YouTube videos in search results which help searchers jump directly to a specific part of the video.

Google is adding new data to Search Console giving retailers insight into the performance of product rich results in Google Search. The data can be found in a new Search Appearance in the Search Console performance report, which captures stats such as total clicks, impressions, average click-through rate, and average position. Websites that are eligible to appear in Google's product search results will find a new Search Appearance type called "Product results." "Website owners need to understand the impact of these rich results. The Google Search Console Performance report provides key metrics like clicks and impressions to help webmasters understand and optimize the performance of their website results on Google Search. These metrics can further be segmented by device, geography and queries."

Facebook is rolling out new advertising features that use machine learning to dynamically customize ads for individual users. This gives advertisers the ability to serve personalized ads when they may otherwise lack the time and resources required to deliver personally relevant ad experiences. "Facebook machine learning combines data and signals from our platform, with insights you share, in order to make predictions for who the right people are for a given message. As people take different actions on and off Facebook, it creates intent signals that help us deliver a more tailored ad experience. We do this for both Organic and Paid content."