Bangladesh friendship; Indians' ever-lasting love for gold; India's rivals borrow Crowe's novel tactic; and more ...

TikTok has reached a deal that will allow it to keep operating in the United States, with a majority American-owned joint venture, but the terms could change the algorithm for users in the U.S. The ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Threads is testing a new way for users to manipulate their own recommendation algorithm. The feature, aptly called "Dear algo," allows users to post a message to the algorithm with the note "dear algo ...

Abstract: As artificial intelligence (AI) and computational models grow in scale, the demand for computational power and storage has significantly increased. The computing-in-memory (CIM) architecture ...

A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. is a senior ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

Everyone wants predictive algorithms to be accurate, but there are different ways to define accuracy. Is it better to have an algorithm that's rarely perfect, but also rarely off by a mile? Or to have ...