Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Imagine a computer that does not rely only on electronics but uses light to perform tasks faster and more efficiently. A collaboration between two research teams from Tampere University in Finland and ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

Key opportunities in the Industrial Multimeters market include increased demand for advanced, AI-integrated tools in ...

The new filter is made of Polylactic Acid and Bismuth Ferrite uses piezo-photocatalysis, which combines the principles of ...

Their optical processor performs machine-learning computations at the speed of light ... The researchers designed their optical neural network to perform all linear and nonlinear operations in-line.

Zainab Iyiola, a rising Nigerian researcher in petroleum engineering and data science, is gaining recognition on the global academic stage for her contribution to a groundbreaking study on enhanced ...

It’s not just aging stars who see their value rise. As we approach the start of the regular season, redraft ADP starts to ...

Human-centred abilities such as curiosity, adaptability and self-reflection are rising in importance as AI threatens to ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

It's estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your ...