The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

Abstract: The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into ...

Just how powerful will the Steam Machine be? Based on expert analysis of the specs revealed by Valve when it announced the Steam Machine on Wednesday, its new compact, console-like gaming PC is aimed ...

Tesla CEO Elon Musk is “confident” that Unsupervised FSD will be available “by the end of this year.” This isn’t the first time the outspoken head honcho said Tesla EV owners could enjoy autonomous ...

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 ...

Abstract: Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...

Tesla has started hyping its upcoming ‘unsupervised full self-driving’ launch in Austin in June. Let’s cut through the hype. Here’s what Tesla will actually launch. CEO Elon Musk has been talking ...