The essay discusses how machine learning is transforming the prediction of human behavior, highlighting challenges like data "noise" and rare-event prediction, while emphasizing its potential in fields such as national security and health.
Elissa Redmiles was recognized for her research on helping users make security decisions online, which aims to improve security education for at-risk users.
He aims to enhance the organization's public profile, foster connections between academic research and industry, and build bridges with communities focused on mental health and healthcare.
The grant will support his research on secure deduplication and compression for big data in hybrid clouds, aiming to improve encryption techniques for data search, deduplication and compression.
This honor recognizes academic inventors who have demonstrated a prolific spirit of innovation in developing outstanding inventions that have made a tangible impact on the quality of life, economic development and the welfare of society.
It will feature a series of lectures addressing the underlying blockchain technology—an unalterable public ledger—that holds significant promise to change the future of financial transactions.
The students developed an innovative blockchain-based voting system that uses cryptographic techniques to secure digital ballots, ensuring privacy and verifiable results.
