The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

Rutgers Health–led research builds on decades of work showing that family and environmental factors interact with genetics to shape child development Parents may have more influence than they realize ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Matthew is a journalist in the news department at GameRant. He holds a Bachelor's degree in journalism from Kent State University and has been an avid gamer since 1985. Matthew formerly served as a ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Quantum researchers have created a new algorithm that can reduce noise in qubits while they are working, and it does this in real time. The method works for many different types of qubits, even when ...

Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00580. Detailed description of the structure of the Genetic ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Abstract: Deep neural networks have rapidly advanced, with many models demonstrating outstanding performance. However, robustness is crucial for ensuring the safety and stability of artificial ...