The 2024 US presidential election is entering its final stretch, which means state-backed hackers are slipping out of the shadows to meddle in their own special way. That includes Iran's APT42, a hacker group affiliated with Iran's Islamic Revolutionary Guard Corps, which Google's Threat Analysis Group says targeted nearly a dozen people associated with Donald Trump's and Joe Biden's (now Kamala Harris') campaigns. The rolling disaster that is the breach of data broker and background-check company National Public Data is just beginning. While the breach of the company happened months ago, the company only acknowledged it publicly on Monday after someone posted what they claimed was "2.9 billion records" of people in the US, UK, and Canada, including names, physical addresses, and Social Security numbers. Ongoing analysis of the data, however, shows the story is far messier--as are the risks.

Everyone despises CAPTCHAs (humans, since bots do not have emotions) -- Those annoying images containing hard to read the text, which you have to type in before you can access or do "something" online. CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart) were developed to prevent automatized programs from being mischievous (filling out online forms, accessing restricted files, accessing a website an incredible amount of times, and others) on the world wide web, by verifying that the end-user is "human" and not a bot. Nevertheless, several attacks on CAPTCHAs have been proposed in the past, but none has been as accurate and fast as the machine learning algorithm presented by a group of researchers from Lancaster University, Northwest University, and Peking University showed below. One of the first known people to break CAPTCHAs was Adrian Rosebrock, who, in his book "Deep Learning for Computer Vision with Python," [4] Adrian goes through how he bypassed the CAPTCHA systems on the E-ZPass New York website using machine learning, where he used deep learning to train his model by downloading a large image dataset of CAPTCHA examples to break the CAPTCHA systems. The main difference between Adrian's solution and the solution from the research scientists from Lancaster, Northwest, and Peking is that the researchers did not need to download a large dataset of images to break the CAPTCHAs system, au contraire, they used the concept of a generative adversarial network (GAN) to create synthesized CAPTCHAs, along with a small dataset of real CAPTCHAs to create an extremely fast and accurate CAPTCHA solver.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display