Getting robots to perform even a simple task requires a great deal of behind-the-scenes work. Part of the challenge is planning and executing movements, everything from turning wheels to lifting a robotic arm. To make this happen, roboticists collaborate with programmers to develop a set of trajectories—or pathways—that are clear of obstacles and doable for the robot.Getting robots to perform even a simple task requires a great deal of behind-the-scenes work. Part of the challenge is planning and executing movements, everything from turning wheels to lifting a robotic arm. To make this happen, roboticists collaborate with programmers to develop a set of trajectories—or pathways—that are clear of obstacles and doable for the robot.Robotics[#item_full_content]
OpenAI, the Microsoft-backed artificial intelligence company behind the popular image generator DALL-E, on Tuesday announced the launch of a new tool aimed at detecting whether digital images have been created by AI.OpenAI, the Microsoft-backed artificial intelligence company behind the popular image generator DALL-E, on Tuesday announced the launch of a new tool aimed at detecting whether digital images have been created by AI.Machine learning & AI[#item_full_content]
“AI Comes Out of the Closet” is a large learning model (LLM)-based online system that leverages artificial intelligence-generated dialog and virtual characters to create complex social interaction simulations. These simulations allow users to experiment with and refine their approach to LGBTQIA+ advocacy in a safe and controlled environment.”AI Comes Out of the Closet” is a large learning model (LLM)-based online system that leverages artificial intelligence-generated dialog and virtual characters to create complex social interaction simulations. These simulations allow users to experiment with and refine their approach to LGBTQIA+ advocacy in a safe and controlled environment.Machine learning & AI[#item_full_content]
Macquarie University researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.Macquarie University researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.Machine learning & AI[#item_full_content]
Large language models (LLMs) are advanced AI-based dialogue systems that can answer user queries and generate convincing texts following human instructions. After the advent of ChatGPT, the highly performing model developed by OpenAI, these models have become increasingly popular, and more companies are now investing in their development.Large language models (LLMs) are advanced AI-based dialogue systems that can answer user queries and generate convincing texts following human instructions. After the advent of ChatGPT, the highly performing model developed by OpenAI, these models have become increasingly popular, and more companies are now investing in their development.Machine learning & AI[#item_full_content]
Collaborating on a physical object when two people aren’t in the same room can be extremely challenging, but a new remote conferencing system allows the remote user to manipulate a view of the scene in 3D, to assist in complex tasks like debugging complicated hardware.Collaborating on a physical object when two people aren’t in the same room can be extremely challenging, but a new remote conferencing system allows the remote user to manipulate a view of the scene in 3D, to assist in complex tasks like debugging complicated hardware.Computer Sciences[#item_full_content]
The integration of microscale and macroscale simulations has long been a computational challenge in material science. Addressing this, researchers have developed AGAT, a machine learning model that efficiently predicts the behaviors of materials used in wearable electronics, particularly focusing on CNTs/PDMS composites.The integration of microscale and macroscale simulations has long been a computational challenge in material science. Addressing this, researchers have developed AGAT, a machine learning model that efficiently predicts the behaviors of materials used in wearable electronics, particularly focusing on CNTs/PDMS composites.Electronics & Semiconductors[#item_full_content]
AI expert Professor Kevin Wong from Murdoch University’s School of Information Technology says in order to deal with the problem of cultural biases in AI, it’s important to understand the fundamentals of different AI techniques.AI expert Professor Kevin Wong from Murdoch University’s School of Information Technology says in order to deal with the problem of cultural biases in AI, it’s important to understand the fundamentals of different AI techniques.Machine learning & AI[#item_full_content]
A new study has found that when people are presented with two answers to an ethical question, most will think the answer from artificial intelligence (AI) is better than the response from another person.A new study has found that when people are presented with two answers to an ethical question, most will think the answer from artificial intelligence (AI) is better than the response from another person.Consumer & Gadgets[#item_full_content]
Seeking to improve the practicality of optical neural networks that use wavelength division multiplexing, a research team developed a structure called multiplexed neuron sets and a corresponding backpropagation training algorithm.Seeking to improve the practicality of optical neural networks that use wavelength division multiplexing, a research team developed a structure called multiplexed neuron sets and a corresponding backpropagation training algorithm.Computer Sciences[#item_full_content]
