Elon Musk attends the 56th annual World Economic Forum meeting in Davos, Switzerland, on Jan. 22. PARIS - French police raided the offices of Elon Musk's social media network X on Tuesday, and prosecutors ordered the tech billionaire to face questions in a widening investigation, amid growing scrutiny of the platform by authorities across Europe. The raid by the Paris prosecutor's cybercrime unit and Musk's summoning -- which could further increase tensions between Europe and the U.S. over Big Tech and free speech -- are linked to a yearlong investigation into suspected abuse of algorithms and fraudulent data extraction by X or its executives. Britain's privacy watchdog, meanwhile, also kicked off a formal investigation into Musk's artificial-intelligence chatbot Grok over the processing of personal data and its potential to produce harmful sexual images and video content. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

Love Lost's AI photo-matching technology helped locate Louie, an indoor cat who escaped through a window, connecting his owner Sharon with a helpful neighbor.

Two weeks ago, Netflix confirmed it would livestream the Love Is Blind season four reunion. But when the time came, first it was delayed, then, after an hour, Netflix pulled the plug. The streaming service soon tweeted an apology and aired the reunion yesterday. This was only Netflix's second attempt at livestreaming. Its first, Chris Rock's comedy special Selective Outrage, aired live in March.

I think it's important to be realistic in how people may interact with robotic systems and also how the robot can leverage that in the learning process.

The new research employed a brand new method of machine learning in the simulations.

Artificial intelligence (AI) systems meant to screen out online hate speech can be easily duped by humans, a study has found. Hateful text and comments are an ever-increasing problem in online environments, yet addressing the rampant issue relies on being able to identify toxic content. Researchers from Aalto University in Finland have discovered weaknesses in many machine learning detectors currently used to recognise and keep hate speech at bay. Many popular social media and online platforms use hate speech detectors. However, bad grammar and awkward spelling – intentional or not – might make toxic social media comments harder for AI detectors to spot.