The future of data labeling in machine learning The progression of AI and ML is not looking to slow down anytime soon. Alongside this is the increased need for high-quality labeled datasets.

Data poisoning is a type of adversarial ML attack that maliciously tampers with datasets to mislead or confuse the model. The goal is to make it respond inaccurately or behave in unintended ways.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...

The regulator advised that providers assess the risks to information resources in their areas of responsibility and analyze the degree of threat that the bot may pose to personal data MOSCOW ...