B-Jaxx is one of my favorites, no doubts.
And another one CLOS design.
This stuff is not so modern, but quite interesting and illustrates some useful design approaches.
Unfortunately, I often note that there is a huge gap in understanding of network performance testing methodology.
Almost every related case goes down to “It seems it was quite better earlier”. No metrics, no anamnesis, so it makes me sad each time.
Just to be more confident I’ve gone through these canonical documents. Will keep it in mind for reference.
Finally, I’ve got a chance to take a dive into Segment Routing concepts, operations, and other aspects.
I was labbing with the migration scenario which is described in “DAY ONE: MIGRATING TO SEGMENT ROUTING”.
Have got a lot of fun, recommended.
I’m going to setup SRv6 topology as well, once I get the time.
Despite the remote and punishing environment, we already have a plethora of potential eyes on the bottom of the sea. There are around 400 fiber optic cables spanning the oceans.
These cables are already the backbone of the global Internet - what if they could be the backbone of deep-sea monitoring and research efforts as well?
Quote: But RRAM does have a drawback. Like Flash memory, it wears out after being overwritten too many times.
I’ve recently taken a closer look at RIFT(Routing in Fat Trees) protocol.
Some details below.
Microsoft has filed a patent that may allow the company to reincarnate people as chatbots. Instead of using training material to develop chatbots, the recent findings by Protocol raises the possibility that we might see chatbots from a specific person in the future.
According to the news report, the system would collect data from images, voice data, social media posts, electronic messages, and written letters to build a person’s profile. A special index will also be used to train the chatbot according to the personality of the specific person.
I have to mention replika.ai here.
For many years, researchers have sought methods that can both learn a model that explains their environment, and can then use that model to plan the best course of action. Until now, most approaches have struggled to plan effectively in domains, such as Atari, where the rules or dynamics are typically unknown and complex.
Impressive(said in a Quake 3 voice)! Well, step by step, bit by bit. When will it be able to play in CS or Q3?