In recent years, artificial intelligence technologies, especially machine learning algorithms, have made great strides. These technologies have enabled unprecedented efficiency in tasks such as image recognition, natural language…
Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has…
Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to health care. But these networks…
A new study by Stanford Medicine investigators unveils a new artificial intelligence model that was more than 90% successful at determining whether scans of brain activity came from a woman or a man.
Since 2004, several clinical studies have reported that patients with OXA frequently experienced adverse effects of liver injury (LI), typically characterized by hepatic sinusoidal injury, splenomegaly, decreased platelet count, and…
Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal…
Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists at Leipzig University have now created a type of neural network that works not with electricity but with so…
In the realm of artificial intelligence, few advancements have captured our imagination as profoundly as deep learning’s impact on computer vision. Deep learning, a subfield of machine learning, has empowered machines to perceive and…
Implementing a neuron-synapse-neuron basic unit structure in hardware for high-performance, low-power neuromorphic computing. Same material, same structure for processability and network scalability.
Self-organizing brain organoids connected to microelectrode arrays (MEAs) can be changed in function to create neural networks. These networks, called organoid neural networks (ONNs), can learn on their own, which is what artificial…
New physics-based self-learning machines could replace the current artificial neural networks and save energy. Artificial intelligence (AI) not only delivers impressive performance but also demands...
INTRODUCTION - Over the past couple of decades, artificial intelligence-enabled (AI) technologies have crept into the marketplace, providing businesses with internal- and external-facing services, such as customer support, search engine…
One of the major benefits of certain artificial intelligence models is that they can speed up menial or time-consuming tasks —- and not just to whip up terrible "art" based on a brief text input. University of Leeds researchers have…
Glass Imaging uses artificial intelligence to "extract the full image quality potential from hardware on current and future smartphone cameras by reversing lens aberrations and sensor imperfections."
Physicists working with computer specialists have developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous adaptation of the connections within the neural…