In the age of AI, strong state capacity only realizes its full meaning when underpinned by clearly defined legal authorities, ...

AI’s next frontier—physical AI and world models—requires rich, multi-dimensional data to function in real-world environments, ...

The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

Alphabet’s Q1 CY26 beat shows Google Cloud +63% and Gemini Enterprise subs +40% q/q, signaling AI share gains and undervalued ...

A new partnership explores how multiple residual elements that accumulate during scrap steel recycling process could impact ...

Organoids and engineered systems are transforming malaria research, improving drug discovery and understanding of Plasmodium ...

Materials called relaxor ferroelectrics have been used for decades in technologies like ultrasounds, microphones, and sonar ...

Abstract: Fractional vegetation cover (FVC) is a crucial parameter in ecological and environmental monitoring. Most existing FVC estimation studies rely on optical remote sensing data, which are ...

The field of bioinformatics is witnessing a dramatic surge in data volumes due to the advent of advanced high-throughput technologies in areas such as ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

(Bloomberg) -- Dimensional Fund Advisors is becoming the first asset manager to launch an exchange-traded fund share class of a mutual fund since Vanguard Group’s patent on the model expired nearly ...