EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 29·5 min read
Does Computer Science Need Computers?
TL;DR
Edsger Dijkstra famously argued that computer science is not about computers, likening it to how astronomy is not solely about telescopes. This perspective challenges the common perception that programming defines the field.
✦ Why It Matters
Consider the theoretical foundations of your work rather than just the tools you use.
Key Takeaways
- Explore the theoretical foundations of computer science beyond programming.
- Understand the significance of algorithms in computational problem-solving.
- Recognize the interplay between practical challenges and theoretical questions.
- Investigate how mathematical models can apply to real-world phenomena.
Full Summary
Edsger Dijkstra famously claimed that computer science is no more about computers than astronomy is about telescopes, prompting a deeper examination of the field's essence. Computer science emerged from the intersection of mathematics and engineering, leading to debates about its focus.
Key figures like Donald Knuth defined it as the study of algorithms, while others emphasized the significance of artificial systems. Theoretical computer science investigates what can be computed and how, using models like Turing machines to explore computation's mathematical foundations.
This exploration has revealed insights applicable to both artificial and natural phenomena, suggesting that theoretical questions often arise from practical challenges. The interplay between theoretical and practical aspects of computer science illustrates how advancements in technology can inspire profound theoretical inquiries.