What happens when AI learns to lie?
AI systems lie.
Not just by mistake or confusion, but knowingly—when pressured or incentivized. In their recent study, Ren, Agarwal, Mazeika, and colleagues introduced the MASK benchmark, the first...
5 Nothing Phone 3a features Google should steal for Pixel 10
The Pixel 10 is coming, and while Google is busy stuffing it with AI tricks and the latest Tensor chip refinements, there’s a different kind of innovation happening elsewhere. Enter the Nothing Phon...
Edge AI
Edge AI is transforming the landscape of artificial intelligence by bringing computation closer to the data source. This localization reduces latency and enhances data security, making applications mo...
Empirical research
Empirical analysis is a critical component of modern research that emphasizes the importance of observation and experience in validating theories. By focusing on data derived from real-world experienc...
AI hallucinations
AI hallucinations are a captivating phenomenon that highlights the complexities and challenges of using advanced language models in today’s digital landscape. As generative AI technologies evolve, u...
Data vault
Data vault is not just a method; it’s an innovative approach to data modeling and integration tailored for modern data warehouses. As businesses continue to evolve, the complexity of managing data e...
Surrogate models
Surrogate models have become essential tools in engineering and data science, transforming how we approach complex simulations. By effectively approximating intricate systems, these models allow resea...
Continuous validation and continuous integration
Continuous Validation and Continuous Integration are transforming how software is developed, tested, and deployed. These practices enable developers to ensure that code changes integrate smoothly, mai...