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22 votes
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Obituary - Evelyn Boyd Granville, mathematician and programmer, space-flight trailblazer (1924—2023)
15 votes -
FedFingerprinting: A federated learning approach to website fingerprinting attacks in Tor networks
6 votes -
Sinéad Griffin of Lawrence Berkeley National Lab publishes simulations supporting LK-99 as a room temperature superconductor
84 votes -
Interview with computer science professor Shaolei Ren about the environmental impact of artificial intelligence
https://themarkup.org/hello-world/2023/07/08/ai-environmental-equity-its-not-easy-being-green A few months ago, I spoke with Shaolei Ren, as associate professor of computer science at University...
https://themarkup.org/hello-world/2023/07/08/ai-environmental-equity-its-not-easy-being-green
A few months ago, I spoke with Shaolei Ren, as associate professor of computer science at University of California, Riverside, and his team about their research into the secret water footprint of AI. Recently, Ren and his team studied how AI’s environmental costs are often disproportionately higher in some regions than others, so I spoke with him again to dig into those findings.
His team, which includes UC Riverside Ph.D. candidates Pengfei Li and Jianyi Yang, and Adam Wierman, a professor in the Department of Computing and Mathematical Sciences (CMS) at the California Institute of Technology, looked into a path toward more equitable AI through what they call “geographical load balancing.” Specifically, this approach attempts to “explicitly address AI’s environmental impacts on the most disadvantaged regions.”
Ren and I talked about why it’s not easy being green and what tangible steps cloud service providers and app developers could take to reduce their environmental footprint.
4 votes -
Any college CS majors here? Any tips for one?
Hey everyone. I’m a Computer Science major who feels very behind. I don’t have any substantial projects to put on my resume. I look at basic open source stuff and can’t understand it. I’m...
Hey everyone. I’m a Computer Science major who feels very behind. I don’t have any substantial projects to put on my resume. I look at basic open source stuff and can’t understand it.
I’m currently attending WGU online, but also work full time so I don’t have a ton of free time to learn or work on side projects.
Anyone have advice for a guy in my scenario? I ended up dropping out of college a couple times during COVID and now I’m just trying to get back on the right path.
The language I know best is Java, but I’ve been trying to learn C++ and web development as well. Applied for internships but no luck so far, I think I need to make some better projects.
18 votes -
Artificial Intelligence Sweden is leading an initiative to build a large language model not only for Swedish, but for all the major languages in the Nordic region
6 votes -
Patching Salt Lake 2002 to run on modern systems
6 votes -
DarkBERT: A language model for the dark side of the internet
11 votes -
Double descent in human learning
5 votes -
Quantum computers: What can they do?
4 votes -
How do we fix and update large language models?
6 votes -
Toolformer: Language models can teach themselves to use tools
11 votes -
What will "classically trained" look like for computer science and digital literacy?
This might be a weird framing but it's been bugging me for a few days. Many fields have a concept of classical training -- this is most common in music but applies in the humanities and many other...
This might be a weird framing but it's been bugging me for a few days. Many fields have a concept of classical training -- this is most common in music but applies in the humanities and many other areas. For example I do a lot of CAD work for my job, but I received what I would consider a "classical education" in design...I learned to draft by hand and physically model before I was ever allowed to work digitally. I got a lot of value out of this approach and it still informs the way I work today.
A lot of people view computers and technology as modern and almost anti-classical, but as the tech industry matures and the internet moves from something shiny and new to something foundational to our society, what will the new classicism look like?
Thanks for reading my question.
14 votes -
The story behind the Packing Chromatic paper
5 votes -
This microscope uses touch. Gelsight is a microscope that presses gel into the object of study.
9 votes -
Finnish research and technology organisation VTT connected the quantum computer HELMI with the pan-European supercomputer LUMI to enable a hybrid service for researchers
3 votes -
Worlds hardest jigsaw (all white) vs. puzzle machine
5 votes -
The world generates so much data that new unit measurements were created to keep up
7 votes -
RIP: Kathleen Booth, the inventor of assembly language
23 votes -
Apology for video games research
8 votes -
"Letter in Support of Responsible Fintech Policy" - Twenty-six well-known computer scientists send letter to Congress urging them to resist crypto lobbying
11 votes -
What's an achievable technological, scientific, or computational breakthrough that you're really looking forward in the next fifteen years?
Title! Anything goes, both minor and major developments, as long as they can conceivably happen in the next 15 years.
23 votes -
Why this computer scientist says all cryptocurrency should “die in a fire”
17 votes -
Analysis by computer science professor shows that "Google Phone" and "Google Messages" send data to Google servers without being asked and without the user's knowledge, continuously
11 votes -
We're building computers wrong
5 votes -
Who is behind QAnon? Linguistic detectives find fingerprints.
10 votes -
Predictive pattern classification can distinguish gender identity subtypes from behavior and brain imaging
14 votes -
Minitel: The online world France built before the web
4 votes -
Tech sector job interviews assess anxiety, not software skills
8 votes -
The most powerful computers you've never heard of
6 votes -
Human computer: The forgotten women's profession
5 votes -
Approximate data deletion from machine learning models
3 votes -
Folding@Home's Covid Moonshot program to receive $10M grant
7 votes -
Carbon emissions and large neural network training
5 votes -
The unparalleled genius of John von Neumann
13 votes -
Quantum computing’s reproducibility crisis: Majorana fermions
9 votes -
How the slowest computer programs illuminate math’s fundamental limits
8 votes -
Automatic pool cue vs. strangers
6 votes -
Has science solved one of history’s greatest adventure mysteries?
14 votes -
The Stable Marriage Problem
12 votes -
How supercomputers are identifying Covid-19 therapeutics
7 votes -
Folding@Home ARM client now available
12 votes -
Decoding the mathematical secrets of plants’ stunning leaf patterns
6 votes -
What colour are your bits?
11 votes -
The art of code - Dylan Beattie
7 votes -
Against scale: Provocations and resistances to scale thinking
3 votes -
Computer built using swarms of soldier crabs
5 votes -
Vid2Player: Controllable video sprites that behave and appear like professional tennis players
8 votes -
Google performed the first quantum simulation of a chemical reaction
11 votes