Trump says he will meet Putin in Hungary for Ukraine talks after'very productive' call US President Donald Trump says great progress was made during a phone call with Russian President Vladimir Putin on Thursday, with the pair agreeing to face-to-face talks in Hungary. He said the call, the first with Putin since mid-August, was very productive, adding that teams from Washington and Moscow will meet next week. Trump did not confirm a date for his meeting with Putin in Budapest. The Kremlin said work on the summit would begin immediately after the extremely frank and trustful call. The talks came a day before Ukraine's President Zelensky was to visit the White House, and with Trump weighing whether to arm Ukraine with Tomahawk missiles capable of striking deep into Russia.

Elon Musk's own AI system is not convinced by his claim that his five-year-old son gave him a black eye. The billionaire, 53, showed up to his Oval Office farewell on Friday with a noticeable bruise under his right eye, claiming his five-year-old son, X, caused it. 'We were horsing around and I told him to punch me in the face,' Musk said. 'Turns out a five-year-old can punch, actually. I didn't really feel much at the time.'

Deep learning neural networks, which are at the heart of modern artificial intelligence, are frequently characterized as "black boxes" with mysterious inner workings. However, recent research casts doubt on that notion, with profound privacy implications. Unlike traditional software, which has its functions predetermined by the developer, neural networks learn to process or analyze data via practice. They do this by altering the strength of the connections between their numerous neurons over a countless number of epochs. By the end of the procedure, their decision-making process has become so entangled in a web of links that it can be challenging to follow.

The test studied both how algorithms work on "one-to-one" matching, used for unlocking a phone or verifying a passport, and "one-to-many" matching, used by police to scan for a suspect's face across a vast set of driver's license photos. Investigators tested both false negatives, in which the system fails to realize two identical faces are the same, as well as false positives, in which the system identifies two different faces as being the same -- a dangerous failure for police, who could end up arresting an innocent person.