Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

Objective Comprehensive data and analyses on cardiovascular research could clarify recent research trends for the academic community and facilitate policy development ... tools such as CiteSpace and ...

AI could be a boon for workers by redefining expertise, lowering barriers to opportunity, and creating new career pathways.

Another type of Computer Use Agent (CUA), focused on visual interaction, is also being introduced to the market. These agents ...

RG’s analysis of 2014–2020 first-round NHL picks shows Toronto, Edmonton and Colorado leading the way with stars like ...

Early immune pressure and co-occurring mutations drive changes in hepatitis C virus fitness and evolution, revealing key dynamics in the establishment of chronic infection.

The rules-based order that underpinned globalization is lurching toward a closed-source model. An ‘open hybrid’ system will ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Business Process Outsourcing (BPO) exports are growing faster than IT services, and it is likely to maintain this lead in FY26, according to a report by Kotak Institutional Equities.

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.