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Computer Programming News

June 26, 2025

Top Headlines

 

Chalmers engineers built a pulse-driven qubit amplifier that’s ten times more efficient, stays cool, and safeguards quantum states—key for bigger, better quantum ...
Scientists at NIST and the University of Colorado Boulder have created CURBy, a cutting-edge quantum randomness beacon that draws on the intrinsic unpredictability of quantum entanglement to produce true random numbers. Unlike traditional methods, ...
Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states" a key component for fault-tolerant ...
Scientists at UBC have devised a chip-based device that acts as a "universal translator" for quantum computers, converting delicate microwave signals to optical ones and back with minimal loss and noise. This innovation preserves crucial quantum ...
Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through ultra-thin glass fibers can perform AI-like computations thousands of ...
In a bold challenge to silicon s long-held dominance in electronics, Penn State researchers have built the world s first working CMOS computer entirely from atom-thin 2D materials. Using molybdenum disulfide and tungsten diselenide, they fabricated ...
Scientists have uncovered how close we can get to perfect optical precision using AI, despite the physical limitations imposed by light itself. By combining physics theory with neural networks trained on distorted light patterns, they showed it's ...
A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already ...
Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes ...
Scientists have developed a powerful new tool for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. The significant breakthrough means that, for the ...
Engineers have developed a real-life Transformer that has the 'brains' to morph in midair, allowing the drone-like robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could ...
Researchers developed a faster, more stable way to simulate the swirling electric fields inside industrial plasmas -- the kind used to make microchips and coat materials. The improved method could ...

Latest Headlines

updated 2:00pm EDT

Earlier Headlines

 

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed ...

A mathematician has built an algebraic solution to an equation that was once believed impossible to ...

While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Researchers demonstrated extremely strong nonlinear light-matter coupling in a quantum circuit. Stronger coupling enables faster quantum readout and operations, ultimately improving the accuracy of ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample ...

Many products in the modern world are in some way fabricated using computer numerical control (CNC) machines, which use computers to automate machine operations in manufacturing. While simple in ...

New research can transform how hospitals triage, risk-stratify, and counsel patients to save ...

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

The iCares bandage uses innovative microfluidic components, sensors, and machine learning to sample and analyze wounds and provide data to help patients and caregivers make treatment ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

A powerful clinical artificial intelligence tool developed by biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam ...

A groundbreaking open-source computer program uses artificial intelligence to analyze videos of patients with Parkinson's disease and other movement disorders. The tool, called VisionMD, helps ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in ...

A new study by neuroscientists shows that our brain deals with different forms of visual uncertainty during movements in distinct ways. Depending on the type of uncertainty, planning and execution of ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, ...

In a new study, researchers created an AI model of the mouse visual cortex that predicts neuronal responses to visual ...

A new multimodal tool combines a large language model with powerful graph-based AI models to efficiently find new, synthesizable molecules with desired properties, based on a user's queries in ...

Researchers completed one of the most comprehensive studies to date on the risks of using AI models to develop software. In a paper, they demonstrate how a specific type of error could pose a serious ...

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