Kansas lawmakers are debating a competitive imbalance in high school sports, where private schools win a disproportionate share of championships.

Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

The annual Embedded World conference brings together thousands of vendors and customers to see and discuss the latest developments in the embedded electronics supply chain. Embedded World is a global ...

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

The DOL proposed a new rule to simplify independent contractor classification, reverting to a framework similar to the 2021 rule.

With APOLLO, researchers can connect genes, proteins, and cell structures, offering a clearer view of cellular behavior through advanced data integration.

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.