Sentence examples for human prediction from inspiring English sources

In the last decade, artificial intelligence has been revolutionized by deep learning, outperforming human prediction on a wide range of problems.

"The average error [for the algorithm] should be around 3 years," says Rothe. "Humans can be up to 3.5 years across the full age range (usually you are better at guessing the age for people who have a similar age as you)… so it should be slightly better than human prediction.

Human choices and human prediction power are very important for interactions with computer systems, e.g. security can be influenced by poor predictions about the possibilities of attacks and attack surface can be wrongly diminished in the mind of the human, whereas wrong choices can incur safety problems.

He also argued that the pragmatic identification of knowledge or truth as an instrument for human prediction and control of the environment remained a significant insight to be recognized even in the context of later and more sophisticated interpretations of the correspondence theory, like Alfred Tarski's "semantic theory of truth".

Even more generally, the idea that there could be a "science of history" which would allow human prediction and control of historical outcomes was refuted for any open-minded observer of the facts whose vision was not blinkered or blinded by faith in a theoretical construction.

The final PK/PD model, incorporating potential variability and uncertainty on scaled human prediction together with a receptor affinity adjustment derived from in vitro binding studies, was used to design the first-time-in-man and the proof-of-concept study.

Although the range of prediction quality is reduced, we still note significant differences in predictive power between classifiers even when suspect human predictions are sign-reversed; out of the 153 pairwise t-tests amongst these 18 predictors, including the consensus one, 35 are significant at the 5% level.

Thus there is substantially more variation in the quality of human predictions than of ML predictions.

We constructed median-based consensus predictors for both human predictions and machine learning ones.

All the complete sets of human predictions were correct for at least ten molecules.

Among the human predictions, 24 of the 136 pairwise comparisons show statistically significant differences at the 5% level.