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Reference Terms
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Computer vision

Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. A significant part of artificial intelligence deals with planning or deliberation for system which can perform mechanical actions such as moving a robot through some environment. This type of processing typically needs input data provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot. Other parts which sometimes are described as belonging to artificial intelligence and which are used in relation to computer vision is pattern recognition and learning techniques.

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Computers & Math News

December 5, 2025

A researcher from the University of Tokyo and a U.S.-based structural engineer developed a new computational form-finding method that could change how architects and engineers design lightweight and free-form structures covering large spaces. The ...
Researchers engineered a strained germanium layer on silicon that allows charge to move faster than in any silicon-compatible material to date. This record mobility could lead to chips that run cooler, faster, and with dramatically lower energy ...
A UC Irvine team uncovered a never-before-seen quantum phase formed when electrons and holes pair up and spin in unison, creating a glowing, liquid-like state of matter. By blasting a custom-made material with enormous magnetic fields, the ...
Researchers unveiled a new technique that validates quantum computer results—especially those from GBS devices—in minutes instead of millennia. Their findings expose unexpected errors in a landmark experiment, offering a crucial step toward ...
Quantum communication is edging closer to reality thanks to a breakthrough in teleporting information between photons from different quantum dots—one of the biggest challenges in building a quantum internet. By creating nearly identical ...
Researchers have directly observed Floquet effects in graphene for the first time, settling a long-running scientific debate. Their ultrafast light-based technique demonstrates that graphene’s ...
Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that the prefrontal cortex assembles these blocks ...
Researchers have discovered a way to store information using a rare class of materials called ferroaxials, which rely on swirling electric dipoles instead of magnetism or charge. These vortex-like states are naturally stable and resistant to outside ...
New research shows that light’s magnetic field is far more influential than scientists once believed. The team found that this magnetic component significantly affects how light rotates as it passes through certain materials. Their work challenges ...
Researchers created scalable quantum circuits capable of simulating fundamental nuclear physics on more than 100 qubits. These circuits efficiently prepare complex initial states that classical computers cannot handle. The achievement demonstrates a ...
Researchers have found a way to make “dark excitons”—normally invisible quantum states of light—shine dramatically brighter by trapping them inside a tiny gold-nanotube optical cavity. This breakthrough boosts their emission 300,000-fold and ...
A Princeton team built a new tantalum-silicon qubit that survives for over a millisecond, far surpassing today’s best devices. The design tackles surface defects and substrate losses that have limited transmon qubits for years. Easy to integrate ...

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