A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

As design education becomes increasingly digital, educators face the challenge of integrating powerful simulation and modelling software without overwhelming students. Adalberto Tamez Alanis offers gu ...

OFA Group (NASDAQ: OFAL), a publicly listed company focused on advancing digital transformation in the architecture, engineering, and construction (AEC) sector, today announced the official commercial ...

When a critter has no discernible front or back and is blind to shape, it unsettles our grasp of form and function.

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

As the Q3 earnings season comes to a close, it’s time to take stock of this quarter’s best and worst performers in the design ...

Driven by rising insurance penetration and a deepening of underlying risk pools in India, the country’s reinsurance market is ...

Hyundai Motor introduces the IONIQ 9 as the first full-sized, fully-fitted luxury all-electric SUV, providing families a ...

Hyundai is preparing a compact electric hatchback that could matter more to its future than any flagship SUV or halo sports ...

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...

Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...