Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

The tendency for AIs to give misleading answers may be in part down to certain training techniques, which encourage models to ...

Your unique data is the strategic signature no competitor can copy. Don't overwrite it with a version that isn't yours.

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Models that don’t steal data One option that has many pros and cons is to use genAI models that explicitly avoid training on any information that is legally dicey.

U.S. President Donald Trump highlighted the need for developers of artificial intelligence models to operate under a common rule when training those models.

AI companies would be barred by federal law from using copyrighted material or personal data to train language models in new legislation introduced Monday ...

A key RoboBusiness session on physical AI will feature Ambi Robotics’ PRIME-1 foundation model as a case study.