Machine learning (ML) is a subset of artificial ... Several scandals made headlines about inadequate, biased training data or test data. The scandals of the Dutch tax office, Volkswagen’s ...

After all, blockchains provide immutable records across many network nodes that need to verify them, but AI models require high data throughput ... for machine learning, i.e., training neural ...

Learn More Almost anyone can poison a machine learning (ML ... Even if an attacker cannot access the training data, they can still interfere with the model, taking advantage of its ability ...

Slack trains machine-learning models on user messages, files and other content without explicit permission. The training is opt-out, meaning your private data will be leeched by default. Making ...

The use of machine learning in security started gaining ... ML models largely depends on the size and quality of the data set used to train them. Poor-quality or biased data can lead to inaccurate ...

Total victims? An eye-popping 353 million. And don’t forget the trust issues created by using real-world data to train AI. That hasn’t worked out so well for accident-prone autonomous cars ...

Machine learning collects various data sources ... like revenue data. When enough training data is available, the machine can automatically learn these relationships and thus estimate how ...

“Meanwhile, today’s AI systems are very much capable of remembering, and then leaking, their training data ... these improvements through machine learning, tech companies may leave your ...