Minor data corruptions can be even more dangerous and costly than a data breach or attack because they often go undetected for long periods. Data corruption is usually caused by incorrect, outdated or ...

Silent data errors are raising concerns in large data centers, where they can propagate through systems and wreak havoc on long-duration programs like AI training runs. SDEs, also called silent data ...

The surge in memory-hungry artificial intelligence (AI) and machine learning (ML) applications has ushered in a new wave of accelerated computing demand. As new design parameters ramp up processing ...

Silent data corruption errors in large server farms have become a major concern of cloud users, hyperscalers, processor manufacturers and the test community. Silent data errors (also called silent ...

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based telemetry offers smarter fault prevention. As transistor geometries shrink and ...

The 2024 Corruption Perceptions Index (CPI) shows that corruption is a dangerous problem in every part of the world, but change for the better is happening in many countries. Research also reveals ...