Going to the spam folder and deleting the Spam emails in the Gmail inbox is a regular thing for everyone, and it sometimes is quite annoying when you have to check whether any important mail isn’t there in the spam folder and you can’t simply delete all the emails directly.
Well, Google already has made various AI programs that according to Google are blocking 99.9 per cent spam. But even then we see many Spam emails in our inboxes.
Last week, Google rolled out the Material Theme for Gmail on Android, featuring company’s latest styling and a few other features. Google has just announced that the new Material Theme is also helping Google’s machine learning models TensorFlow, to block 100 million more spam messages, which will be targeting the remainder 0.1 per cent of the spam.
Gmail, at present, is serving over 1 billion-plus user and blocking 100 million spam messages every day may not help much, but it does not seem bad either. As even the company has built robust programs to block those spam messages, few of them slips through the Gmail’s protection.
From many years, the company has been using the rule-based algorithm to control the spam. The rule-based algorithms are set to follow some specifications in order to block the spam messages, leaving loopholes for the spam. Whereas the new machine learning framework will help it identify the spam based on new patterns. The ML framework uses the algorithms that identifies patterns in large datasets and offer personalized spam protections to account for users.
TensorFlow is an open-source machine learning framework, which was developed by Google in 2015. According to Google, integrating TensorFlow into Gmail will also allow it to better personalize spam filters, and besides spam, the framework may also help in preventing phishing, and malware from reaching inboxes.
Yashica is a Software Engineer turned Content Writer, who loves to write on social causes and expertise in writing technical stuff. She loves to watch movies and explore new places. She believes that you need to live once before you die. So experimenting with her life and career choices, she is trying to live her life to the fullest.