Computer Sciences

New framework improves performance of deep neural networks

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed ...

Machine Learning & AI

Researchers try to recreate human-like thinking in machines

Researchers at Oxford University have recently tried to recreate human thinking patterns in machines, using a language guided imagination (LGI) network. Their method, outlined in a paper pre-published on arXiv, could inform ...

Machine Learning & AI

An approach to enhance machine learning explanations

Researchers at IBM Research UK, the U.S. Military Academy and Cardiff University have recently proposed a new approach to improve the sensitivity of LIME (Local Interpretable Model Agnostic Explanations), a technique for ...

Robotics

PULP Dronet: A 27-gram nano-UAV inspired by insects

Researchers at ETH Zürich and the University of Bologna have recently created PULP Dronet, a 27-gram nano-size unmanned aerial vehicle (UAV) with a deep learning-based visual navigation engine. Their mini-drone, presented ...

Machine Learning & AI

Cracking open the black box of automated machine learning

Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how automated machine-learning systems work. The aim is to build confidence in these systems and find ...

Computer Sciences

Spintronic memory cells for neural networks

In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute ...

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