Researchers at Aalto University, together with international partners, have developed the most accurate model yet of how humans read. The new model uses reinforcement learning, a type of AI used in robotics, to explain—and recreate—the choices readers make as they move through text.
While asking questions to ChatGPT and similar tools to generate images has become part of daily life, behind this convenience lies the massive power consumption of huge data centers.
A team of researchers is harnessing artificial intelligence (AI), data science and advanced mathematics to better predict how fires behave in modern homes, work that could ultimately help save lives during emergencies.
As AI-powered large language models, or LLMs, grow in power and sophistication, where will their architects turn when someday—as experts predict—algorithms outgrow the limits of general human knowledge and begin craving information possessed by only the world's most elite thinkers and creators?
Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that are not actually present simply because a certain object appears in a video. These errors are known as hallucinations.
Queues at sports events can be very long, even at large venues with many entrance gates. To speed things up, Geelong Football Club recently introduced an "express lane" option for club members.
To improve pedestrian safety in urban areas, researchers are developing technologies that alert pedestrians to potential hazards via smartphones or earbuds. However, loud warning sounds and strong vibrations can induce stress, and repeated alerts may eventually be ignored. To address this challenge, the researchers proposed a method that uses auditory augmented reality, which overlays information onto environmental sounds through earbuds, to slightly modify the sound of an approaching vehicle and naturally draw attention to it.
Shiso, a ring-necked parakeet, can't speak English, but she knows how to make her preferences known. She has screaming fights with the dogs and cats in her household, snorts for attention and food, and perches on her human to interact with her.
A new study from the University of Toronto finds that people perceive their bodies as larger in virtual reality than in the physical world—and that effect doesn't end when the headset comes off.
The squawks of macaws, the smell of wet earth after rain and a swirl of colors will transport visitors from a Los Angeles museum to the heart of the Amazon rainforest—or rather, an AI version of it.
Scientists have developed a practical way to make ultra-black coatings to meet demand for trendy, luxury vehicles in China. The coating, described in a paper published in Matter & Light, is made up of a composite of carbon black pigment and carbon nanotubes. The resulting color is a deep jet black that also meets automotive standards, opening the door for car manufacturers to develop distinguished, high-end models in darker-than-ever hues.
Researchers have developed a new kind of lidar system that simultaneously measures the location, speed and material properties of objects in a scene. This type of information could be useful for applications such as robotics, autonomous driving and remote sensing.
Most of us have used the sniff test to decide whether a slightly expired bottle of milk or a week-old box of takeout is still good to eat. But while the human nose can be quite astute, it doesn't always catch everything. Each year, millions of people in the U.S. are sickened by food-borne pathogens that thrive in undercooked or spoiled food.
Data keeps growing exponentially, driving demand for better memory storage solutions. Synthetic DNA is a strong candidate to answer this need, given its high information density, durability and relevance as the molecule of life.
A research team led by Professor Taesung Kim of the School of Mechanical Engineering at Sungkyunkwan University (SKKU) has developed an optoelectronic synaptic device that mimics the functions of human neurons and synapses at the device scale. The researchers designed a van der Waals (vdW) crystal through a single-step sulfurization process using mixed plasma. The device operates under optical stimuli, offering a structural solution for configuring semiconductor materials for brain-inspired computing.
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