Work
Study resolves puzzles in gravitational collapse of gravitational waves
Black holes are regions in space where the gravitational pull is so strong that nothing can escape them, not even light. These fascinating regions have been the focus of countless studies, yet some...
Study unveils similarities between the auditory pathway and deep learning models for processing speech
The human auditory pathway is a highly sophisticated biological system that includes both physical structures and brain regions specialized in the perception and processing of sounds. The sounds...
A system that allows robots to use tools creatively by leveraging large language models
Researchers at Carnegie Mellon University and Google DeepMind recently developed RoboTool, a system that can broaden the capabilities of robots, allowing them to use tools in more creative ways....
Integrated circuits based on a 2D semiconductor operating at GHz frequencies
Transistors are crucial electronic components that regulate, amplify and control the flow of current inside most existing devices. In recent years, electronics engineers have been trying to identify...
A robot inspired by mantis shrimp to explore narrow underwater environments
Nature is the primary source of inspiration for many existing robotic systems, designed to replicate the appearance and behavior of various living organisms. By artificially reproducing biological...
Study explores the scaling of deep learning models for chemistry research
Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few...
A machine learning–based tool to model phase-change memory materials
Computer simulations can greatly contribute to the study of new promising materials for technological applications. These include so-called phase-change materials (PCMs), substances that release or...
Researchers demonstrate field-free switching of a commercial PMA ferromagnet at room temperature
Magnetic random-access memories (MRAMs) are data storage devices that store digital data within nanomagnets, representing it in binary code (i.e., as "0" or "1"). The magnetization of nanomagnets...
Study unveils organizational complexity of the prefrontal cortex and neuron subtypes regulating chronic pain
The prefrontal cortex (PFC) is one of the most sophisticated regions of the mammalian brain. This crucial brain region is known to support various complex functions, including cognition, memory,...
An energy efficient transmitter based on a CMOS chip and silicon photonics
The widespread use of electronic devices to interact with others and access the internet has increased the need for highly performing communication technologies that can transmit data faster and...