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Researchers from the University of Ottawa have discovered that plants may be able to control the genetics of their intimate root symbionts - the organism with which they live in symbiosis - thereby providing a better understanding of their growth.

A novel artificial intelligence (AI) approach based on wireless signals could help to reveal our inner emotions, according to new research.

Current silicon-based computing technology is very energy-inefficient and finding ways to decarbonise technology is an obvious target for energy savings. A new discovery involving rust suggests that the future of green computing may, in fact, be brown.

Hydrocarbons and petroleum are almost synonymous in environmental science. After all, oil reserves account for nearly all the hydrocarbons we encounter. But the few hydrocarbons that trace their origin to biological sources may play a larger ecological role than scientists originally suspected.

Researchers have coupled near-infrared hyperspectral imaging with machine learning techniques to visualize tumors in deep tissue that are typically hard to detect.

Genome-wide association studies (GWAS) have typically excluded diverse and minority individuals in the search for gene variants that confer risk of disease. Researchers have now developed a free-access software package called Tractor that increases the discovery power of genomics in understudied populations.

An intelligent material that learns by physically changing itself, similar to how the human brain works, could be the foundation of a completely new generation of computers.

A team has reported the highest resolution by far of the 3D genome of the primate brain, and demonstrated the molecular regulatory mechanisms of human brain evolution through cross-species multi-omics analysis and experimental validation.

A new study by researchers in Japan has examined the brain activity of thirty programmers of diverse levels of expertise, finding that seven regions of the frontal, parietal and temporal cortices in expert programmer's brain are fine-tuned for programming.

Using AI and supercomputers, researchers have discovered reoccurring patterns and combinations, known as "motifs", of the four molecular building blocks A, C, G and T, connecting them to gene expression, that is, average amounts of produced proteins.