A dog-like, bio-inspired robot called Spirit is still learning to walk, but could one day be deployed on the moon to explore steep, potentially hazardous areas with a team of robot companions.
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
Globally, computation is booming at an unprecedented rate, fueled by the boons of artificial intelligence. With this, the staggering energy demand of the world’s computing infrastructure has become a major concern, and the development of computing devices that are far more energy-efficient is a leading challenge for the scientific community.
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New research led by Charité – Universitätsmedizin Berlin and published in Science reveals that the wiring of nerve cells in the human neocortex differs significantly from that in mice. The study discovered that human neurons predominantly transmit signals in a unidirectional manner, whereas mouse neurons typically send signals in looping patterns. This structural difference may enhance the human brain’s ability to process information more efficiently and effectively. The findings hold potential implications for advancing artificial neural network technologies.
The neocortex, a critical structure for human intelligence, is less than five millimeters thick. There, in the outermost layer of the brain, 20 billion neurons process countless sensory perceptions, plan actions, and form the basis of our consciousness. How do these neurons process all this complex information? That largely depends on how they are “wired” to each other.
A research group from the Ulsan National Institute of Science and Technology (UNIST), led by Professor Jonwoo Jeong of the Department of Physics, has recently discovered a groundbreaking principle of motion at the microscopic scale. Their findings reveal that objects can achieve directed movement simply by periodically changing their sizes within a liquid crystal medium. This innovative discovery holds significant potential for numerous fields of research and could lead to the development of miniature robots in the future.
In their research, the team observed that air bubbles within the liquid crystal could move in one direction by altering their sizes periodically, contrary to the symmetrical growth or contraction typically seen in air bubbles in other mediums. By introducing air bubbles, comparable in size to a human hair, into the liquid crystal and manipulating the pressure, the researchers were able to demonstrate this extraordinary phenomenon.
Scientists have demonstrated that facial recognition technology can predict a person’s political orientation with a surprising level of accuracy.
Researchers have demonstrated that facial recognition technology can predict political orientation from neutral expressions with notable accuracy, posing significant privacy concerns. This finding suggests our faces may reveal more personal information than previously understood.
Humanoid robots are robots that resemble and act like humans. Typically engineered to imitate authentic human expressions, interactions and movements, these robots are often outfitted with an array of cameras, sensors and, more recently, AI and machine learning technologies.
While more humanoid robots are being introduced into the world and making a positive impact in industries like logistics, manufacturing, healthcare and hospitality, their use is still limited, and development costs are high.
Continue reading “Top 22 Humanoid Robots in Use Right Now” »
Elon Musk and Tesla are confident in their advancements in autonomous driving and robot taxis, with Musk emphasizing the importance of trusting his vision and long-term planning for the success of the company.
Questions to inspire discussion.
Continue reading “Elon Musk’s Vision for Autonomous Driving and Robot Taxis” »
Former OpenAI leader Zack Kass says human qualities like courage and wisdom will help you survive AI in the workplace. Also: Don’t be an ‘asshole.’
Empowering universities to remain at the forefront of AI research will be key to realizing the field’s long-term potential.
Hugging Face has published a new leaderboard and benchmark for evaluating generative AI models on health-related tasks and questions.
