Deep learning is a branch of machine learning that uses multilayer neural networks to learn hierarchical representations directly from data. Layers of interconnected “neurons” transform raw ...

The Structural Bioinformatics and Network Biology laboratory, led by ICREA Researcher Dr. Patrick Aloy, has completed the bioactivity information for a million molecules using deep machine-learning ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Gary Fowler is a serial AI entrepreneur with 15 startups and an IPO. He is CEO and Co-Founder of GSD Venture Studios and Yva.ai. The world we live in gets carried away with buzzwords easily. From AI ...

A newly developed tool predicts the biological activity of chemical compounds, key information to evaluate their therapeutic potential. Using artificial neural networks, scientists have inferred ...

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...

SLB developed a multiwell automatic log correction (MALC) workflow which corrects neutron and gamma ray logs using machine learning (ML) to correlate regional and contextual references in historic log ...