Why AI and machine learning researchers are beginning to embrace PyTorch
Data Show, I spoke with Soumith Chintala, AI research engineer at Facebook. Among his many research projects, Chintala was part of the team behind DCGAN (Deep Convolutional Generative Adversarial Networks), a widely cited paper that introduced a set of neural network architectures for unsupervised learning. Our conversation centered around PyTorch, the successor to the popular Torch scientific com
The current state of machine intelligence 3.0
Watching the appeal and applications of machine intelligence expand. Almost a year ago, we published our now-annual landscape of machine intelligence companies, and goodness have we seen a lot of activity since then. This year’s landscape has a third more companies than our first one did two years ago, and it feels even more futile to try to be comprehensive, since this just scratches the surface
Microservices AntiPatterns and Pitfalls
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Remember when service-oriented architecture (SOA) was all the rage? Companies jumped in before fully understanding SOA’s advantages and disadvantages, and struggled to make this comple
Object-Oriented vs. Functional Programming
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. The schism between the functional and object-oriented programmers is really a false binary. Yes, the first group argues that FP is superior for a multicore world, while the second insi
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