Category: Technology



Wasm has evolved greatly as a standard and technology from the early design days in 2015. Some standards take a long time, while others can be quick evolutionary events. But sometimes, it is hard to know all of the history and work that has gone into bringing Wasm to the point it is at today. This talk will focus on bringing to light all of the work that has been done and what is being worked on by the ever-growing Wasm community. To start, we will delve into the history and evolution of Wasm, explore its current capabilities and use cases, and discuss the future of Wasm. With that knowledge, we will review the component model and its potential impact to how we write applications today. By the end of this talk, attendees will have a better understanding of what Wasm is and why it matters, as well as a glimpse into its potential as a game-changer for the software industry. PUBLICATION PERMISSION:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=6_BRLqxiZPU https://www.youtube.com/watch?v=hPkJDyDrdmQ



There are several techniques to debug an embedded Linux system that can be applied in both user space and kernel space. Depending on the problem, you may need different tools, like addr2line for crash dump and kernel oops analysis, GDB for interactive (remote) debugging, ftrace for kernel tracing, valgring to catch memory-related issues, strace/ltrace for user space applications tracing, perf/gprof for application profiling, etc. In this talk, we will learn how these and many other tools and techniques can be applied to improve the quality and find/fix bugs faster on an embedded Linux system. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=Paf-1I7ZUTo https://www.youtube.com/watch?v=4XfAAaaXUgI



Scientists spent 12 years mapping every neuron and connection in the brain of a fruit fly. Their 3D model is impressive. The hope is that we can learn what makes a real brain so efficient and how to apply that knowledge to artificial intelligence (neural networks). 💌 Subscribe to my FREE newsletter Once a month, cool science and technology news: https://newsletter.simplyexplained.com 🌍 Social
Twitter: https://twitter.com/Savjee
Facebook: https://facebook.com/Savjee
Blog: https://savjee.be ❤️ Become a Simply Explained member: https://www.youtube.com/channel/UCnxrdFPXJMeHru_b4Q_vTPQ/join https://www.youtube.com/watch?v=mrBpSCpbmNY