Computers and Math from Science Daily Feed

A novel system that chases larval zebrafish around an arena with predator robots is enabling scientists to understand how these days-old fish quickly learn in the real world.

In a leap forward for quantum computing, physicists unveiled an eight-qubit topological quantum processor, the first of its kind. The chip, built as a proof-of-concept for the scientists' design, opens the door to the development of the long-awaited topological quantum computer.

A research team has unveiled a new artificial intelligence (AI) system that uses satellite imagery to track urban green spaces more accurately than prior methods, critical to ensuring healthy cities.

Researchers have developed Deep Nanometry, an analytical technique combining advanced optical equipment with a noise removal algorithm based on unsupervised deep learning. Deep Nanometry can analyze nanoparticles in medical samples at high speed, making it possible to accurately detect even trace amounts of rare particles. This has proven its potential for detecting extracellular vesicles indicating early signs of colon cancer, and it is hoped that it can be applied to other medical and industrial fields.

Researchers have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of combination therapies for complex diseases. The study highlights iDOMO's ability to identify synergistic drug combinations using gene expression data, outperforming existing methods.

Dynamic facial projection mapping (DFPM) has reached new heights in speed and accuracy, with the development of a state-of-the-art system with groundbreaking innovations. The first breakthrough involved a hybrid detection technique combining different methods to detect facial landmarks in just 0.107 milliseconds. The researchers also proposed a way to simulate high-frame-rate video annotations to train their models and introduced a lens-shift co-axial projector-camera setup to reduce alignment errors, enabling smoother and more immersive projections.

Engineers have developed a versatile swimming robot that nimbly navigates cluttered water surfaces. Inspired by marine flatworms, the innovative device offers new possibilities for environmental monitoring and ecological research.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.

Scientists across Africa, America, Asia, Australia, and Europe outline for the first time how Artificial Intelligence (AI) can transform the landscape of infectious disease research and improve pandemic preparedness.

A new study of more than 1400 adults who gamble and play online video games has found loot box buying is associated with real-world gambling, video gaming addiction, and other mental health issues. The international research brings new insights into the loot box phenomenon -- the virtual items offered in video games to give players random rewards including weapons, cosmetics or 'skins.'

Researchers have unveiled a transformative framework for understanding complex systems. This pioneering study establishes the new field of higher-order topological dynamics, revealing how the hidden geometry of networks shapes everything from brain activity to the climate and artificial intelligence (AI).

Physicists have developed a novel approach to maintain special quantum characteristics, even in 3D materials, with potential applications in optical systems and advanced computing.

A quantum 'miracle material' could support magnetic switching, a team of researchers has shown.

The efficiency of wireless charging systems is limited by power loss occurring due to frequency changes in the resonant circuits that enable power transfer. These necessary modulations reduce electromagnetic interference caused by resonant frequencies on other devices. However, conventional strategies for adapting to changing frequencies are inefficient, cost-prohibitive, and impractical. Now, scientists have designed a resonant tuning rectifier that provides a low-cost, efficient solution to stabilize power delivery in wireless power systems.

AI is reshaping workplaces, particularly in retail. Researchers explored how AI service quality impacts retail employees' innovation, job fit, and satisfaction. Findings show when employees perceive AI as reliable and empathetic, they are more likely to engage in innovative behavior. AI's adaptability also plays a crucial role in enhancing service quality. While reliability strongly supports innovation, transparency and responsiveness had less influence than expected. Empathy in AI systems was found to have a significant positive effect on employee innovation, creating a more engaging work environment. The study underscores AI's potential to drive service innovation in retail.

Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team has proposed a novel proportional integral derivative controller that, in combination with radial basis function neural network, robustly controls ballbot motion. This technology is expected to find applications in service robots, assistive robots, and delivery robots.

Using a novel surface-sensitive spectroscopy method, scientists explored atomic vibrations in crystalline material surfaces near interfaces. The findings illuminate quantum behaviors that play important roles computing and sensing technologies.

Are we putting our faith in technology that we don't fully understand? A new study comes at a time when AI systems are making decisions impacting our daily lives -- from banking and healthcare to crime detection. The study calls for an immediate shift in how AI models are designed and evaluated, emphasizing the need for transparency and trustworthiness in these powerful algorithms.

Researchers have demonstrated a new technique that uses light to tune the optical properties of quantum dots -- making the process faster, more energy-efficient and environmentally sustainable -- without compromising material quality.

In the world of soft robotics and wearable technology, sheet-based fluidic devices are revolutionizing how lightweight, flexible and multifunctional systems are designed. But with innovation comes challenges, particularly in understanding and controlling failure in these devices. A new study by mechanical engineers explores how programmed failure in heat-sealable, sheet-based systems can be used to protect devices, enable complex sequencing of actions and even streamline control mechanisms.