Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

The principles that made the Internet so successful can guide us in building the next wave of AI systems.

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...

The number of people living with dementia worldwide is projected to reach around 153 million by 2050, while in Australia, it ...

On September 17, Radnova (formerly known as Yunxuetang), the "first stock of digital enterprise learning," officially ...

Source: Lieyunwang, by Wang Fei "From the laboratory to the industrial site," this company has pointed the way for the ...

In February 2025, SAP & Databricks announced a landmark partnership to offer SAP Databricks, a natively integrated data + AI ...

Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or ...

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...