Machine learning & AI

"Cats and computers both have one thing in common—they both rule the Internet," remarked an unidentified admirer of felines once. RoboCat, a robot developed recently by researchers at Google's DeepMind, is expected to make a significant leap into a future world of self-teaching automatons, even though it does not yet control the Internet. The DeepMind team, which included more than 30 researchers, claimed to have made a breakthrough with a robotic cat that not only learns new tasks quickly but can also improve its performance by constructing its own performance data. This was accomplished by utilizing the same technology that

Jeff Bezos popularized the use of mechanical Turks, low-paid workers who worked remotely with perhaps thousands of other people on small parts of larger computer projects, at the turn of the century, to ensure a human perspective on mostly straightforward tasks that computers found difficult. He referred to this amalgamation of digital and human intelligence as "artificial artificial intelligence." One of many providers of such services, Amazon's Mechanical Turk marketplace employs approximately a quarter million individuals. According to a report released this week by researchers at EPFL, a university in Switzerland, Turks who had previously relied on significant human input

A key piece of legislation that will serve as the foundation for a new law that will govern artificial intelligence systems like ChatGPT was approved by EU lawmakers on Wednesday with the intention of encouraging technological innovation. The European Parliament and the 27 EU member states will begin negotiations on the final law later Wednesday. On the off chance that Brussels hits its aggressive objective of agreeing before the year's over, it would be the world's most memorable regulation controlling computer-based intelligence. Although the EU's plans date back to 2021, ChatGPT's meteoric rise to prominence last year highlighted AI's staggering

In the film "Top Firearm," Tom Cruise portrays Maverick, who is in charge of training young pilots to complete a seemingly impossible task: fly their jets deep into a rocky canyon while remaining so low to the ground that radar cannot detect them, and then rapidly climb out of the canyon at an extreme angle to avoid the rock walls. Maverick is played by Maverick. Warning: This is a spoiler: These human pilots complete their mission with the assistance of Maverick. On the other hand, it would be difficult for a machine to complete the same intense task. For an

A new artificial intelligence imaging tool for user-interactive 3D manipulation of 2D images depicted in a photograph has been developed by a group of computer scientists from the Max Planck Institute for Informatics, MIT, Google, and the University of Pennsylvania. On the arXiv preprint server, the team published a paper and a few short videos demonstrating the new tool's capabilities. The tool's name is DragGAN. Photoshop was first delivered in the last part of the 1980s, and since that time, it and comparative applications have been utilized to alter photos. Such use has turned into a standard piece of virtual

There are AI algorithms everywhere. They support essentially all independent and automated frameworks used in security applications. This incorporates facial acknowledgment, biometrics, drones, and independent vehicles utilized in battle reconnaissance and military applications. In facial recognition, machine learning and AI algorithms are trained to classify and identify image features, like our faces. In any case, the information supporting these calculations can be powerless against digital assaults. The subtle removal of just a few pixels, which are invisible to the naked eye, from image data can lead to inaccurate predictions and even pose serious security risks. Is the solution quantum computing?Research

The new appearance of generative models, computational devices that can produce new texts or pictures in light of the information they are prepared on, opened fascinating additional opportunities for imaginative businesses. They make it simple for artists and digital content creators to create realistic media content that incorporates elements from a variety of images or videos, for instance. A new model that can realistically insert specific humans into various scenes, such as showing them exercising in the gym, watching a sunset on the beach, and so on, has been developed by researchers at Stanford University, UC Berkeley, and Adobe Research.

Understanding which items are made of the same materials will help a robot work with objects in a kitchen, for example. With this knowledge, the robot would be able to use the same amount of force to pick up a small pat of butter from a dark corner of the counter or an entire stick from inside the brightly lit fridge. Material selection, or identifying objects in a scene that are made of the same material, is a difficult problem for machines because a material's appearance can change dramatically depending on the shape of the object or the lighting. Researchers