AI Technology & Industry Review
Researchers have proposed DiffTaichi, a new differentiable programming language based on Taichi and specially tailored for building high-performance differentiable physical simulators.
Researchers from the University of Tsukuba and Waseda University in Japan recently introduced a single framework designed to tackle an entire range of remastering tasks for films that have been converted to digital data.
One of the world’s largest financial companies, Alibaba subsidiary Ant Financial, recently introduced Shared Machine Learning (SML) as their solution for data privacy.
Now, researchers from the Victoria University of Wellington School of Engineering and Computer Science have introduced the HSIC (Hilbert-Schemidt independence criterion) bottleneck as an alternative to backpropagation for finding good representations.
Thanks to social video app Kuaishou and its plug-and-play tools, even rural Chinese with cheap smartphones are quickly and easily producing short videos featuring Hollywood-style special effects.
Recently, Facebook AI Research (FAIR) researchers introduced a structured memory layer which can be easily integrated into a neural network to greatly expand network capacity and the number of parameters without significantly changing calculation cost.
The Neural Architects Workshop gathers experts and researchers in the field of deep neural network (DNN) design to share their insights and experiences working in this domain.
Synced Global AI Weekly July 28th
Estimates peg the total number of academic papers and other scholarly literature indexed on the Google Scholar at almost 400 million, making it the world’s largest such database.
Artificial intelligence is having a revolutionary effect on industrial production. In the following article, Baidu Ventures Partner and Founder of Comet Labs Saman Farid shares his thoughts on recent changes and future trends in Machine learning-driven production philosophies and technologies.