Artificial Intelligence has moved from the periphery of banking to its core. Credit decisions, fraud detection, risk scoring, collections, customer service, and even regulatory reporting now rely on ...
Devavrat Shah's group at MIT's Laboratory for Information and Decision Systems (LIDS) specializes in analyzing how social networks process information. In 2012, the group demonstrated algorithms that ...
The message has been loud and clear to tech companies that are hoping to get an extension of time to ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
Forget about the generic recommendations on your home screen because Netflix is hiding its best romantic content behind a digital lock. With Valentine's Day right around the corner, most people are ...
In 2015, AI in drug discovery was still a theoretical pursuit – exciting, but unproven. A few early start-ups were applying deep learning to virtual screening and molecular modelling, but the industry ...
Abstract: We investigate algorithms for training hidden conditional random fields (HCRFs) - a class of direct models with hidden state sequences. We compare stochastic gradient ascent with the RProp ...
Abstract: Distribution network optimization is represented by non-convex power flow equations, where traditional convex relaxation methods may lead to inaccurate or infeasible solutions. To ...
This study presents a valuable finding on how the locus coeruleus modulates the involvement of medial prefrontal cortex in set shifting using calcium imaging. The evidence supporting the claims was ...
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