A molecular optimization framework to identify promising organic radicals for aqueous redox flow batteries

Recent advancements in the development of machine learning and optimization techniques have opened new and exciting possibilities for identifying suitable molecular designs, compounds, and chemical candidates for different applications. Optimization techniques, some of which are based on machine learning algorithms, are powerful tools that can be used to select optimal solutions for a given problem …

Sharing a laugh: Scientists teach a robot when to have a sense of humor

Since at least the time of inquiring minds like Plato, philosophers and scientists have puzzled over the question “What’s so funny?” The Greeks attributed the source of humor to feeling superior at the expense of others. German psychoanalyst Sigmund Freud believed humor was a way to release pent-up energy. U.S. comedian Robin Williams tapped his …

Layer-Wise Data-Free CNN Compression

We present an efficient method for compressing a trained neural network without using any data. Our data-free method requires 14x-450x fewer FLOPs than comparable state-of-the-art methods. We break the problem of data-free network compression into a number of independent layer-wise compressions. We show how to efficiently generate layer-wise training data, and how to precondition the …

RGB-X Classification for Electronics Sorting

Effectively disassembling and recovering materials from waste electrical and electronic equipment (WEEE) is a critical step in moving global supply chains from carbon-intensive, mined materials to recycled and renewable ones. Conventional recycling processes rely on shredding and sorting waste streams, but for WEEE, which is comprised of numerous dissimilar materials, we explore targeted disassembly of …