From Static Controls To Adaptive Trust: Rethinking Data Security For The AI Era

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, AI-aware access governance.

New AI method lets models think harder while avoiding costly bandwidth

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...
VentureBeat

From static classifiers to reasoning engines: OpenAI’s new model rethinks content moderation

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...