Hiber3D has integrated Google’s AI tools to give creators the ability to type what they want to see—and generate an immersive world.
Category: robotics/AI – Page 729
The Guardian has blocked OpenAI from using its content to power artificial intelligence products such as ChatGPT. Concerns that OpenAI is using unlicensed content to create its AI tools have led to writers bringing lawsuits against the company and creative industries calling for safeguards to protect their intellectual property.
The Guardian has confirmed that it has prevented OpenAI from deploying software that harvests its content.
Artificial Intelligence has transformed how we live, work, and interact with technology. From voice assistants and chatbots to recommendation algorithms and self-driving cars, AI has suddenly become an integral part of our daily lives, just a few months after the release of ChatGPT, which kickstarted this revolution.
However, with the increasing prevalence of AI, a new phenomenon called “AI fatigue” has emerged. This fatigue stems from the overwhelming presence of AI in various aspects of our lives, raising concerns about privacy, autonomy, and even the displacement of human workers.
AI fatigue refers to the weariness, frustration, or anxiety experienced by individuals due to the overreliance on AI technologies. While AI offers numerous benefits, such as increased efficiency, improved decision-making, and enhanced user experiences, it also presents certain drawbacks. Excessive dependence on AI can lead to a loss of human agency, diminishing trust in technology, and a feeling of disconnection from the decision-making process.
Their development Scalene, an open-source tool for dramatically speeding up the programming language Python, circumvents hardware issues limiting computer processing speeds.
A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.
There are many different programming languages—C++, Fortran, and Java are some of the more well-known ones—but, in recent years, one language has become nearly ubiquitous: Python.
Generative AI models can crank out anything from poetry and prose to images and code at your command. But to coax your desired output from these AI tools, you need to craft the right input — AKA, the prompt.
Prompts are what guide the AI model’s output and influence its tone, style and quality. And good prompts are what elicit brilliant text and stunning images.
“Writing good prompts is the key to unlocking the power and potential of generative AI,” said Jennifer Marsman, principal engineer in Microsoft’s Office of the Chief Technology Officer.
Check out Japan’s National Institute of Advanced Industrial Science and Technology (AIST) new robot. The company released a video that is bound to have all other robotic firms worrying. This slightly creepy, yet super handy, humanoid machine may just be the most helpful robot yet!
Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.
To tackle all of these missions effectively, UAVs should be able to reliably detect targets and objects of interest in their surroundings. Computer scientists have thus been trying to devise new computational techniques that could enable these capabilities, using deep learning or other approaches.
Researchers at Yunnan University and the Chinese Academy of Sciences recently introduced a new object-detection system based on edge computing. Their proposed system, introduced in the IEEE Internet of Things Journal, could provide UAVs with the ability to spot relevant objects and targets in their surroundings without significantly increasing their power-consumption.
Id wonder, and Doubt, if it could handle recoil. Weapons on Dog bots and Mini Uav s i would of liked to see would use electric centrifuge weapons, recoilless weapons, but development on has stalled also.
The brain geniuses at the Pentagon have decided that a good use of the taxpayer dollar is to attach rifles onto robot dogs, because why the hell not, right?
As Military.com reports, a spokesperson for the US Army said that the branch is considering arming remote-controlled robot dogs with state-of-the-art rifles as part of its plan to “explore the realm of the possible” in the future of combat.
The vision, as you’ve probably gathered, is pretty simple: to mount a rifle onto a robotic dog for domestic tasks across the military — and send it out into an unspecified battlefield.
What is an AI Graphic Design Tool?
Artificial intelligence (AI) models human intelligence processes in computers and computer-controlled robots. This enables computer systems to undertake arduous jobs, allowing people to concentrate on more vital matters.
As a result, the need for AI integrations in the workplace has grown over time. In fact, researchers project that the global AI software industry will be worth $791.5 billion by 2025.
AI systems are increasingly being employed to accurately estimate and modify the ages of individuals using image analysis. Building models that are robust to aging variations requires a lot of data and high-quality longitudinal datasets, which are datasets containing images of a large number of individuals collected over several years.
Numerous AI models have been designed to perform such tasks; however, many encounter challenges when effectively manipulating the age attribute while preserving the individual’s facial identity. These systems face the typical challenge of assembling a large set of training data consisting of images that show individual people over many years.
The researchers at NYU Tandon School of Engineering have developed a new artificial intelligence technique to change a person’s apparent age in images while ensuring the preservation of the individual’s unique biometric identity.