Enabling privacy-preserving AI training on everyday devices
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
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cybersecurity
Boards Are Falling Short on Cybersecurity
Three common points of failure—and how to address them.
Read MoreEnhancing maritime cybersecurity with technology and policy
Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.
Read MoreResearch: Conventional Cybersecurity Won’t Protect Your AI
Four research-based imperatives for executives.
Read MoreMIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
Read More6 Cybersecurity Predictions for the AI Economy in 2026 – SPONSOR CONTENT FROM PALO ALTO NETWORKS
Sponsor Content from Palo Alto Networks.
Read MoreNew MIT program to train military leaders for the AI age
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Read MoreHow a Transparent Company Culture Strengthens Cybersecurity and Data Resilience – SPONSOR CONTENT FROM VEEAM
Sponsor content from Veeam.
Read MoreHow AI Will Forge the Next Generation of Cybersecurity Talent – SPONSOR CONTENT FROM PALO ALTO NETWORKS
Sponsor Content from Palo Alto Networks.
Read MoreLincoln Lab unveils the most powerful AI supercomputer at any US university
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
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