A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...
Digital technologies are increasingly driving healthcare initiatives to bridge the gap between the haves and have-nots ...
Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...
Abstract: The popularity of emerging consumer electronics, such as Mobile phones, PADs, and various smart home appliances, brings unprecedented convenience to people. Currently, how to obtain targeted ...
Abhinav Piratla, an AI security architect, is closing the critical gap in medical device protection. Discover how his ...
As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...
Speaking at the first Supreme Court Bar Association National Conference in Bengaluru, Justice BV Nagarathna of the Supreme ...
The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
Abstract: Federated learning (FL) enhances data privacy and compliance with data regulations by enabling multiple decentralized parties to collaboratively train machine learning models without sharing ...
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