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 ...

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 ...

Abhinav Piratla, an AI security architect, is closing the critical gap in medical device protection. Discover how his ...

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Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Transform’s Will Lowe explores the overlooked infrastructure crisis beneath the public sector’s A.I. ambitions. Lowe argues that the greatest risk of government A.I. adoption lies in decades of ...