A renowned Chinese scholar has unveiled what he’s calling the world’s first AI child — and she might bring the technology into a new age.
Category: robotics/AI – Page 709
AI learns language through the experience of a single child in groundbreaking study
In a groundbreaking study published in the journal Science, researchers have developed a machine learning model that mimics the way children learn language, offering new insights into early language acquisition. Using video and audio recordings from a young child’s perspective, the model successfully learned to associate words with visual objects, a feat that sheds light on the mysterious process of how children begin to understand and use language.
Understanding how children learn language has long been a fascinating subject for scientists and educators alike. At the heart of this is the phenomenon of connecting words to their meanings – a process seemingly simple yet incredibly complex. This study sought to demystify this process using the latest advancements in artificial intelligence.
The motivation behind this research lies in the need for a deeper understanding of early language acquisition. Traditionally, studies in this field have been conducted in controlled laboratory settings, which may not accurately reflect the natural environment in which children learn language.
China creates world’s first AI child which shows human emotion
What sets Tong Tong apart from other models is that she can assign herself tasks.
Chinese scientists have unveiled what they are calling the world’s first artificial intelligence (AI) child.
Developed by the Beijing Institute for General Artificial Intelligence (BIGAI), Tong Tong or Little Girl’s virtual AI avatar was recently introduced for the first time in Beijing.
BIGAI sees Tong Tong as a giant step toward achieving a general artificial intelligence (AGI) agent when a machine can think and reason like a human being.
Mastercard’s new anti-fraud AI has a success rate of up to 300%
Mastercard has announced that it has developed an in-house generative AI to help combat fraud on its payment processing network.
Instead of relying on textual inputs, Mastercard’s algorithm uses a cardholder’s merchant visit history as a prompt to determine whether a transaction involves a business that the customer would likely visit. The algorithm generates pathways through Mastercard’s network, akin to heat-sensing radar, to provide a score as an answer.
A lower score indicates a behavior that deviates from the cardholder’s usual pattern, while a higher score reflects typical behavior. Mastercard claims that this entire process takes only 50 milliseconds. And, it turns out, the AI appears to be very good at its job.
Bhalla stated that Mastercard’s latest “transaction decisioning” technology could boost financial institutions’ fraud detection rates by an average of 20 percent. However, in certain instances, the technology has improved fraud detection rates by up to 300 percent, according to Bhalla.
Researchers designs robots to maintain resilient deep space habitats
NASA has set its sights on sending human crews back to the moon and establishing a permanent base on the lunar surface. The agency wants to return to the moon, build a lunar outpost, and eventually send humans to Mars. But these missions come with risks and challenges.
As humans venture deeper into space and explore other worlds, they face daunting challenges.
How will they survive the harsh and unpredictable environments they encounter? What if meteorites, radiation, or other hazards damage their habitats? Delegating routine tasks to machines could save them time and resources, but how will they make sure these machines are reliable? These are just some pressing questions that must be answered to travel safely and sustainably beyond Earth’s orbit.
Researchers unveil wearable patch for enhanced robotic exoskeleton control
SNAP’s 144 gold-coated silicon microneedles, each shorter than a hundredth of an inch, can bypass pain receptors and ensure comfort during prolonged wear.
Engineers from Korea and the United States have developed a wearable patch, which is slated to have the potential to further technologies related to human-machine interaction and healthcare.
Like a Band-Aid, the stretchable microneedle adhesive patch (SNAP) sticks to your skin and detects signals from muscles. In tests, people used it to control robotic exoskeletons better. These machines copy and improve the strength of human muscles and bones.
The collaborative study was led by Jianliang Xiao, an associate professor in the Paul M. Rady Department of Mechanical Engineering at CU Boulder, and Jaewoong Jeong, an associate professor in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST).
Meta plans new in-house AI chip ‘Artemis’ to break away from Nvidia
Artemis, a second-gen custom AI silicon
As per Reuters, the chip, dubbed “Artemis,” is the second generation of a custom silicon line that Meta unveiled last year. It could give Meta an edge over its rivals by reducing its reliance on Nvidia’s dominant chips and curbing the soaring costs of running AI applications.
Meta, the world’s largest social media network, has been investing heavily in boosting its computing power to support its ambitious AI vision. It wants to create immersive and interactive experiences for its billions of users across Facebook, Instagram, WhatsApp, and futuristic hardware devices like the Ray-Ban smart glasses.
Revoy EV promises to electrify diesel semis in minutes
The Revoy EV concept is deceptively simple. A tractor’s 5th wheel pairs up with the Revoy’s hitch. Then the trailer that the semi is set to haul attaches to the Revoy’s 5th wheel. Some AI embedded in the Revoy’s electronic control units does some number-crunching and the three-part truck, trailer, trailer combo then hauls off down the road, with the Revoy’s high-torque e-axle providing most of the power to accelerate the load and diesel power where it’s most efficient: on the highway.
The best part, according to Revoy? Truckers can add the Revoy EV trailer to their rigs with no up-front costs.