Yet amid the focus on model architectures and GPU clusters, a quieter challenge threatens to slow the revolution — India’s fragmented data ecosystem. If LLMs are the engines of intelligence, data is ...

Riyadh, Dec 19 (SPA/APP): The International Center for Artificial Intelligence Research and Ethics (ICAIRE) announced the launch of an interactive edition of the Data and Artificial Intelligence ...

The healthcare industry generates about 30% of the world’s data. However, historically this data has been locked in silos and healthcare organizations have failed to generate real-time operational and ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

Enterprise data infrastructure is at a breaking point. Organizations are drowning in complexity as they struggle to manage the increasing demands of real-time analytics, personalized customer ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

OSF HealthCare, a health system serving Illinois and Michigan, prides itself on innovation and digital transformation. It has more than 26,000 employees, 171 locations including 17 hospitals, and more ...

Tool overload drains value. Most organizations use far more tools than they need, which leads to duplication, poor integration and underused capabilities. Governance matters. Successful teams ...

Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...

As SK hynix leads and Samsung lags, Micron positions itself as a strong contender in the high-bandwidth memory market for generative AI. Micron Technology (Nasdaq:MU) has started shipping samples of ...

Enterprise leaders face a mounting challenge: AI infrastructure is getting increasingly complex. As companies move large language models, RAG, and autonomous agents from pilot projects to production ...