A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

The transition to linear cities represents a shift in paradigm: from more chaotic urban expansion to guided growth along the ...

The Lagos State Government has begun transitioning from a traditional linear waste management system to a circular economy ...

The old attribution problem was a measurement problem: tracking was imperfect, but the touchpoints existed. Statistical models filled the gaps with reasonable accuracy for most use cases. The new ...

In the age of “God-model” LLMs, the AI wrapper is a dead man walking. As foundational models become increasingly adept at ...

Logging, traceability and model versioning are not compliance niceties; they are architectural prerequisites for operating AI ...

The Linear cloudy issue tracker and project manager has introduced an AI agent and plans to add AI coding assistance, with CEO and co-founder Karri Saarinen declaring that "issue tracking is dead." ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Employ Borderless PTE. LTD has earned a 2026 Global Recognition Award for its independent, research-driven approach to ...

The Digital 2026 Global Overview Report shows customers aren’t following your map anymore — they’re building their own across ...

Celonis' Christoph Schettler declares that the era of reactive supply chains is over. As geopolitical disruptions in critical ...