Researchers have developed a new way to control and manipulate optical signals by embedding a liquid crystal layer into waveguides created with direct laser writing.… Read More »Researchers develop hybrid waveguide devices for enhanced control of optical signals
A microprocessor is a pivotal component of modern computing devices, serving as the brain that executes instructions and performs calculations. It is a miniature electronic… Read More »What is a microprocessor?
In the dynamic landscape of microscopy, recent advancements in both hardware and algorithms have propelled our capacity to delve into the microscopic wonders of life.… Read More »High-speed modulation structured illumination microscopy for enhanced 3D imaging
As digital devices progressively replace pen and paper, taking notes by hand is becoming increasingly uncommon in schools and universities. Using a keyboard is recommended… Read More »New study shows handwriting boosts brain connectivity and memory recall compared to typing
The intricate dance of neurons orchestrates vital bodily functions and complex thoughts within a vast network. Traditional neuroscience, relying on in vivo electrophysiology within living… Read More »MiV unveils open-source In vitro platform for unprecedented neural interfacing
Biometric authentication systems represent a sophisticated approach to verifying an individual’s identity by leveraging unique biological characteristics or behavioral patterns. As technology continues to evolve,… Read More »How do biometric authentication systems work?
Neurotransmitters are essential signaling molecules in the nervous system, playing a central role in transmitting information between neurons and facilitating communication throughout the intricate neural… Read More »How do neurotransmitters function in the nervous system?
Long Short-Term Memory (LSTM) represents a crucial breakthrough in the field of artificial intelligence, specifically in the realm of recurrent neural networks (RNNs). LSTMs are… Read More »Long short-term memory
Feature learning is a fundamental concept in machine learning and artificial intelligence that involves the automatic discovery and extraction of relevant features from raw data.… Read More »Feature learning
Deep learning stands at the forefront of artificial intelligence, representing a subfield that has witnessed remarkable advancements in recent years. It revolves around the concept… Read More »Deep learning
Artificial Neural Networks (ANNs) represent a cornerstone in the field of artificial intelligence, drawing inspiration from the structure and function of the human brain. These… Read More »Artificial neural network
A team of international neuroscientists, led by the University of Iowa, has made groundbreaking strides in understanding the human brain’s dynamics by capturing direct recordings… Read More »Brain’s language hub: Crucial and adaptable
Artificial Intelligence (AI) is a multidisciplinary field of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence. These… Read More »What is artificial intelligence?
A significant breakthrough in the pursuit of direct air capture (DAC) of carbon dioxide has been achieved by scientists at the Department of Energy’s Oak… Read More »Scientists discover key factors for efficient carbon capture from air
Four years ago, Jason Eshraghian from UC Santa Cruz pioneered “snnTorch,” a Python library merging neuroscience and artificial intelligence to craft spiking neural networks—a machine… Read More »Brain-inspired AI code library surpasses 100,000 downloads
Crystalline materials are characterized by their ordered, three-dimensional structures composed of atoms, ions, or molecules. Widely employed in various fields, including semiconductors, pharmaceuticals, photovoltaics, and… Read More »Machine learning identifies unknown quasicrystal phases in multiphase samples
In a new study of reactor physics published in the journal Nuclear Science and Techniques, researchers from Sichuan University, Shanghai Jiao Tong University, have introduced… Read More »Data-independent neural networks tackle complex reactor physics problems
In the relentless pursuit of effective drug molecules to combat diseases, researchers are focusing on compounds that dock onto proteins, typically enzymes or receptors, triggering… Read More »Do graph neural networks really understand protein-ligand interactions?
In a recent study conducted by SISSA and published in the journal Science Advances, researchers have unveiled the fascinating mechanisms behind rats’ ability to accurately… Read More »Rats possess advanced visual processing system similar to primates
A groundbreaking image translation model, created by Professor Sang-hyun Park and his team at Daegu Gyeongbuk Institute of Science and Technology’s Department of Robotics and… Read More »New image translation model could improve AI performance