Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

McKinsey identifies four coordinated steps that connect strategy, technology, and people to build strong foundational data ...

Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even ...

With new data center proposals popping up like spring bulbs, both residents and municipal officials alike can feel overwhelmed by both the pace and the breadth with which this new development wave is, ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...

As 2026 begins, XRP ETFs have delivered the most compelling institutional adoption story in crypto—yet price hasn’t followed. In just 50 days since launching mid-November 2025, these products absorbed ...