Qualifications: Management Science and Engineering Professor, Directory of Stanford Technology Ventures Program
Seelig’s talk on creativity has applications in entrepreneurship and research. It’s fascinating how something simple as reframing problems by asking what would change if I solved this problem can stimulate new ideas and jump-start creativity.
Qualifications: Turing Award winner, Bells Labs Alumni, Hamming code inventor, Professor
One of the most important talks that I have ever watched about the nature of research and success by a giant of computing, telecommunications, and mathematics. Very rewatchable and tremendously inspiring.
This is the first part of a multi-part post going over RDMA, current research and RDMA’s role in the future of networking.
“Bandwidth problems can be cured with money. Latency problems are harder because speed of light is fixed—you can’t bribe God” - Anonymous
Neural networks have rapidly become the de facto standard in computer vision and speech recognition. Growing interest in understanding these algorithms have motivated a boon of learning resources.
So where does someone look to obtain a basic understanding of neural networks? While the high level intuitions behind neural networks are easy to pick up, the details can be subtle and challenging to grasp. Luckily, several brilliant professors have stepped up to the challenge.