A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

Examine the advanced hybrid synergy of libraries in 2026. Compare the immersive, community-focused value of contemporary ...

Nvidia just announced DLSS 4.5, a new version of its AI-powered upscaling and frame generation technology. The company is ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

The forces shaping India’s economy today now extend beyond financial markets. As technology disrupts traditional models and ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

The five-month Executive Programme in Robotics equips learners with a rare blend of managerial perspective and deep technical ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

In the Wilmington area, two Catholic schools – Archmere and Nativity Prep – have announced new leadership at their highest ...

One farmer's harrowing story exposes the tech takeover of America’s heartland, and the fight to reclaim the keys.