AI

During training, the same model plays two roles. A teacher version is conditioned on both the query and expert examples. A student version sees...

Zstandard compression support in .NET libraries in .NEt 11 means significantly faster compression and decompression compared to existing algorithms while maintaining competitive compression ratios....

In the immortal words of Ferris Bueller, “Life moves pretty fast. If you don’t stop and look around once in a while,...

CLOSED-LOOP FEEDBACK SYSTEM This pipeline captures how data is ingested, modeled, predicted and acted upon in a real-time system. Reactive vs predictive lifecycle Reactive IT: Event Occurs →...

Java is becoming more popular for building AI applications, with 62% of respondents in Azul’s just-released 2026 State of Java Survey and Report relying...

Technical mastery once guaranteed advancement. For engineers, data scientists, designers, and other experts, the career ladder used to be clear: learn deeply, deliver reliably,...

A single benign-sounding prompt can systematically strip safety guardrails from major language and image models, raising fresh questions about the durability of AI alignment...

SHAP for feature attribution SHAP quantifies each feature’s contribution to a model prediction, enabling: Root-cause analysis Bias detection Detailed anomaly interpretation LIME for local interpretability LIME builds simple local models...

At the same time, Perl has returned to prominence in the scripting realm. Once the undisputed leader in scripting, Perl declined after years of...