Reducing privacy leaks in artificial intelligence: two approaches to contextual integrity

New research from Microsoft Research presents two methods to reduce privacy leaks in artificial intelligence using the principle of contextual integrity. One method applies lightweight, inference-time checks and the other builds contextual awareness into models through reasoning and reinforcement learning.

Artificial Intelligence boom drives demand for ultra-large packaging as ASICs expected to shift from CoWoS to EMIB

TrendForce reports that the Artificial Intelligence and HPC expansion is raising the priority of heterogeneous integration and advanced packaging, with TSMC’s CoWoS leading today but some CSPs considering Intel’s EMIB as ASIC package sizes grow.