Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...

Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s often misunderstood, especially by non-technical founders. Words like ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Introduction: The Myth of Abundance and the Reality of Data As concerns over global warming force a shift to battery ...

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

Getting the “Business” into Business-Oriented Data Modeling – Practical Techniques & Examples by Alec Sharp This white paper by industry expert Alec Sharp illustrates these points and provides ...

Salesforce is reducing its reliance on generative AI. The company faced reliability problems with large language models.

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.