Large-scale quantum computers will need far more than better qubits—they will need a practical way to control and read them without overwhelming the refrigerator with wires.

Curious how AI powers 6G’s terahertz tech? A new Engineering study breaks down how deep learning, CSI foundation models and LLMs solve terahertz UM-MIMO’s biggest hurdles—computational complexity, modeling and measurement issues. It maps three actionable AI roadmaps, with real-world use cases, and spotlights future research for next-gen wireless.

A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube infrastructures to enhance large-scale Earth Observation data analytics. By introducing a model warehouse, intelligent model selection, and parallel inference pipelines on the Open Geospatial Engine platform, the approach significantly improves analytical capability and reduces inference time by over 80%. The framework advances the transition from traditional data cube processing toward AI-ready spatial data infrastructures.

At AACR 2026, Insilico will unveil four novel cancer inhibitors discovered via its end-to-end Pharma.AI platform. By harnessing trillions of data points and millions of molecular fragments, the platform integrates generative biology for target discovery with generative chemistry for de novo molecular design, accelerating the path from data to drug candidates.