including those that use machine learning. Today, attackers can manipulate some machine learning models by feeding them misleading data to evade detection. It is common for ML models to generate ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

Structural defects that form during additive manufacturing, also known as 3D printing, are a barrier to some applications of ...

As a result, large wall crack data sets are rare. This issue impairs the training of deep networks and may lead to the suboptimal detection result. To address this issue, we first capture a set of ...

Identify early indicators of risk by analyzing timing margin data from within the chip.

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It’s a well-known quandary in machine learning that a computer ... AI developers frequently use what is called reinforcement learning from human feedback (RLHF). Essentially they are putting ...