VentureBeat

3 big problems with datasets in AI and machine learning

Datasets fuel AI models like gasoline (or electricity, as the case may be) fuels cars. Whether they're tasked with generating text, recognizing objects, or predicting a company's stock price, AI ...
Science Daily

Transparency is often lacking in datasets used to train large language models

The Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
VentureBeat

Meta and Google researchers’ new data curation method could transform self-supervised learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As AI researchers and companies race to ...
Analytics Insight

Machine Learning’s Hidden Secrets: Can We Trust the Algorithms?

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...