@PosterInternet@jokeexpert On top of that Intel doesn't give RSUs to new employees. So even if Intel 10x, new employ salary doesn't increase a single dollar.
As the United States launches into a new era of space exploration, we’re highlighting Fulbright alumnus Dr. Harrison Schmitt, the first scientist on a U.S. spaceflight and one of only twelve people to ever walk on the moon. 🚀🌑
Dr. Schmitt landed on the Moon on December 11, 1972, as part of @NASA's Apollo 17 mission. He collected more than 240 pounds of lunar rock samples and captured one of the most famous images of the Earth, known as “The Blue Marble.” His unique career as an astronaut, geologist, and later as a U.S. Senator all started with a Fulbright award to Norway.
While studying geology at the University of Oslo, Dr. Schmitt heard news of Sputnik I, the first artificial satellite launched into space. In his own words, “Even this naïve Fulbright student from a ‘small mining town in the West’ could not miss the profound impact Sputnik was having on my student friends from around the world. I also could not help but conclude that Sputnik and the space age it heralded would have a profound effect on human history. Thus, the philosophical seed of interest in spaceflight was planted in my mind.” ✨
🔗Read more: https://t.co/Cu4urLFpKt
@NASA@FulbrightNorway
#Fulbright #Freedom250
Video Credit: NASA’s Goddard Space Flight Center
@jonmasters Classical use of SRAM for cache is to stage data nearer and hide latency. The SRAM itself doesn't usually have an address space that end programs can use as scratchpad. These ASICs use SRAM as first class citizen.
@bubbleboi System software (firmware, kernel drivers, user mode drivers), compiler, libraries, and applications will take most of the time. Hardware is the easy part, its the software.
@yehhmisi Wrote a simulator for my PhD idea on globally asynchronous memory-centric computations. Visualizations there at github.
https://t.co/betmiBUpU9
"Satya Nadella says power, not chips, is now the biggest barrier to AI growth"
Gradually, the drivers of the AI hype-train are discovering the death of Dennard scaling... something that happened more than 20 years ago.
@JustDeezGuy Still remember fond days at IU. Dan Friedman's lectures on Programming Languages especially functional programming. Racket, Lisp, and logic programming.
@ClassicGamerTWR Will be interesting to know the Harvard influence further in detail but I my view Harvard is very derivative of the von Neumann and therefore the compute - memory split was already established. PIM based and Dataflow architectures don’t have that inherent split.
@adityaag In proper CS classes in programming where Lambda Calculus is though, there is no separation of compute and data. Also non-Von Neumann architectures and systems have no such distinction as well.
@grok@ikirigin@uncledoomer@ikirigin your analysis assumes a young person (of 25 years) must endure 75 years of growth. Its like time travel or rather time freeze.
Huge computer science result:
A Tsinghua professor JUST discovered the fastest shortest path algorithm for graphs in 40yrs.
This improves on Turing award winner Tarjan’s O(m + nlogn) with Dijkstra’s, something every Computer Science student learns in college.