As AI scaling laws hit the data plateau, executives face a stark choice: hit the scaling wall or remain an innovator. This ...

Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research that has far-reaching consequences for privacy on the ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

A common pitfall in digital healthcare is treating data governance as a secondary compliance task rather than a foundational ...

Funded by an Office of Naval Research grant worth nearly $800,000, Gollamudi and her lab group are developing a novel ...

Recent advancements in systems biology have been propelled by the increasing power of omics technologies—spanning genomics, transcriptomics, proteomics, ...

The global Software-Defined Vehicles Market was valued at USD 48270 Million in the year 2024 and is projected to reach a revised size of USD 133500 Million by 2031, growing at a CAGR of 15.9% during ...

With an ecosystem of high-throughput instruments generating multi-terabyte datasets, the data management capacity of a leading global gene therapy innovator had reached breaking point. It was too slow ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Kinematic modeling is central to understanding and interpreting motion across both biological and artificial systems. Traditionally underpinned by ...

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift across plates, batches, cohorts, and time — blurring ...

Why psychiatry’s diagnostic system may undergo major changes, and what the scientific debates over how mental illnesses should be defined are ...