Efficiently
New method efficiently safeguards sensitive AI training data
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could…
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…