Computers and Math from Science Daily Feed

GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing -- a sequencing process fundamental to interpreting cell types -- with high consistency compared to that of time-consuming manual annotation by human experts of gene information.

Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.

Pushing for a higher speed isn't just for athletes. Researchers, too, can achieve such feats with their discoveries. A new device called SCARF (for swept-coded aperture real-time femtophotography) can capture transient absorption in a semiconductor and ultrafast demagnetization of a metal alloy. This new method will help push forward the frontiers of knowledge in a wide range of fields, including modern physics, biology, chemistry, materials science, and engineering.

Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

Researchers have brought together two Nobel prize-winning research concepts to advance the field of quantum communication. Scientists can now efficiently produce nearly perfect entangled photon pairs from quantum dot sources.

AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.

Scientists made a single-molecule transistor using quantum interference to control electron flow. This new design offers high on/off ratio and stability, potentially leading to smaller, faster, and more energy-efficient devices. Quantum interference also improves the transistor's sensitivity to voltage changes, further boosting its efficiency.

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers have developed a novel algorithm called post-processing variationally scheduled quantum algorithm. The novelty of this innovative algorithm lies in the use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.

Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now designed a scalable, fully-coupled processor with 4096 spins and parallel processing capabilities. It demonstrates superior performance and power efficiency compared to traditional devices. The research team aims to develop a 2050-level quantum computer computing system by 2030, potentially revolutionizing digital industries without relying on extensive infrastructure or cloud support.

A team of researchers has proposed a new concept for magnet-based memory devices, which might revolutionize information storage devices owing to their potential for large-scale integration, non-volatility, and high durability.

Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence model which can design billions of new antibiotic molecules that are inexpensive and easy to build in the laboratory.

A research team has developed an n-channel diamond MOSFET (metal-oxide-semiconductor field-effect transistor). The developed n-channel diamond MOSFET provides a key step toward CMOS (complementary metal-oxide-semiconductor: one of the most popular technologies in the computer chip) integrated circuits for harsh-environment- applications as well as the development of diamond power electronics.

Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical diagnostics and bring health care professionals closer to being able to quickly diagnose patients with COVID-19 and other pulmonary diseases with algorithms that comb through ultrasound images to identify signs of disease.

Researchers have invented a new method by which classical computers can measure the error rates of quantum machines without having to fully simulate them.

A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps.

Quantum computers promise to tackle some of the most challenging problems facing humanity today. While much attention has been directed towards the computation of quantum information, the transduction of information within quantum networks is equally crucial in materializing the potential of this new technology. Addressing this need, a research team is now introducing a new approach for transducing quantum information: the team has manipulated quantum bits, so called qubits, by harnessing the magnetic field of magnons -- wave-like excitations in a magnetic material -- that occur within microscopic magnetic disks.

If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.

Scientists unveil next-generation research trends in metaphotonics platforms with AI.

A new study suggests anyone looking to shake off the winter blues by planning the perfect getaway should turn to ChatGPT.