Lilly is opening up its proprietary AI models to biotech companies that want to use them to jumpstart their science.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

On benchmark evaluations, K2 Think leads all other open-source models in competitive math performance. It scored 90.8 on AIME 2024, 81.2 on AIME 2025, and 73.8 on HMMT 2025, according to benchmarks ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

Physical data model. The final layer is physical and represents a composition of host system artifacts—physical data objects—derived from a logical data model coupled with its desired storage ...

Tal Melenboim, the visionary behind VFR.ai and StyleTech.ai, champions the cause of high-quality data as the cornerstone of ...

Private cloud gives firms a single-tenant environment with strict boundaries. This matters for AI because of how models ...

Unlock data’s potential by bridging insights and innovation: incorporating data modelling and analytics in business practices.

How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about ...

Compare that with recent comments from OpenAI CEO Sam Altman, who said he believes investors right now are "overexcited about ...