ScienceDaily: Computers & Math News


Algorithms help to distinguish diseases at the molecular level

Posted: 27 May 2022 09:14 AM PDT

Machine learning is playing an ever-increasing role in biomedical research. Scientists have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.

A quarter of the world's Internet users rely on infrastructure that is susceptible to attacks

Posted: 27 May 2022 07:12 AM PDT

About a quarter of the world's Internet users live in countries that are more susceptible than previously thought to targeted attacks on their Internet infrastructure. Many of the at-risk countries are located in the Global South. That's the conclusion of a sweeping, large-scale study conducted by computer scientists.

AI learns coral reef 'song'

Posted: 27 May 2022 05:52 AM PDT

Artificial Intelligence (AI) can track the health of coral reefs by learning the 'song of the reef', new research shows.

Agriculture tech use opens possibility of digital havoc

Posted: 26 May 2022 06:55 AM PDT

Wide-ranging use of smart technologies is raising global agricultural production but international researchers warn this digital-age phenomenon could reap a crop of another kind -- cybersecurity attacks. Complex IT and math modelling has highlighted the risks.

Toward error-free quantum computing

Posted: 25 May 2022 08:08 AM PDT

For quantum computers to be useful in practice, errors must be detected and corrected. A team of experimental physicists has now implemented a universal set of computational operations on fault-tolerant quantum bits for the first time, demonstrating how an algorithm can be programmed on a quantum computer so that errors do not spoil the result.

Virtual immune system roadmap unveiled

Posted: 20 May 2022 04:30 AM PDT

Researchers have published a roadmap for creating a digital twin of the immune system. Patterned after digital twins used in industry to test innovations on a model, the digital twin would create a virtual immune system tailored to individuals. Physicians could use this model to develop precision treatments based on a person's genetics and personal history. It could answer questions why some people react differently to COVID-19 infection, for example, or design precise immunosuppressant therapy for transplant patients, or allow pharmaceutical companies to more quickly bring drugs to market.