Suggested readings week 39/2023

Self-supervised learning: The dark matter of intelligence

Humans rely on their previously acquired background knowledge of how the world works, and build new knowledge based on experience and simula.

How do we get machines to do the same? Self Supervised Learning is one step in this direction. Instead of teaching an algorithm about what to search for, we prepare clever algorithms that (sort of) discover patterns and behaviours in data before applying learning.

here's why self-supervised learning is one of the most promising ways to make significant progress in AI

RISC-V - Part 1 : Origins and Architecture

Berkeley did it again.

After contributing to the initial development of the Unix operating system and so many advancement in modern Physics, from the University of California Berkeley the development of a novel microprocessor core architecure is spreading across the entire world of advanced corporations.

This is the main competitor to ARM (Advanced Risc Machine), another architecture property of ARM Ltd or one of the most powerful technology corporations in Cambrigde, England.

Edsger Dijkstra's One-Day Workweek - Cal Newport

Edsger Wybe Dijkstra has been one of the fundamental computer science researchers for our modern computer-based algorithms advancements.

Today not so many private companies are willing to invest in pure ideas, as it was the case for Burroughs Corporation hiring Dijkstra in the early '70 for the scope of elaborating on his research achievements so far.

Number theory and evolutionary genetics

Number theory, the study of the properties of positive integers, is perhaps the purest form of mathematics

And yet here is an unexptected very practical application of it.

Antarctic sea-ice at mind-blowing low

Without its ice cooling the planet, Antarctica could transform from Earth's refrigerator to a radiator, experts say. Needless to say, United States canceled research projects instead of reacting.