What Is Theoretical Computer Science?
As computer scientists, we should look for inspiration from physics rather than from mathematics.
November 2024 - Vol. 67 No. 11
Features
A Whimsical Odyssey Through the Maze of Scholarly Reviews
Authors often encounter three formidable gatekeepers in the labyrinthine corridors of academic publishing: the Confused Reviewer, the Rational Reviewer, and the Lazy Reviewer.
Room-Temperature Superconductivity Heats Up
Compounds that display superconductivity are incredibly rare, and many require specific pressures or conditions to perform in a desired manner.
A “mugshot to mugshot” comparison of two images of a face is essentially a solved problem thanks to neural networks, experts say.
Mixing and matching chiplets with different capabilities allows designers to optimize platforms for specific functions or use cases.
Between the Booms: AI in Winter
AI became more pluralistic as a loss of faith in formerly dominant approaches created space for new ideas.
Do Social Media Platforms Have Free Speech Rights to ‘Censor’ Conservatives?
Other court decisions have ruled that privately owned media entities have constitutional rights to decide whether or not to publish content authored by outsiders.
The Future of Misuse Detection
A sequence of interrelated SRI projects are representative examples of the body of earlier work in the field of misuse detection.
Free Speech vs. Free Ride: Navigating the Supreme Court’s Social Media Paradox
Today’s social media giants have sought to avoid the pollution costs they impose on the rest of us.
Subjectivity and judgment surrounds what a bug is, and how and whether it should be fixed.
Mentorship Lessons from Growing a Developing Country Journal
The editor of an open access publication shares ideas on bridging the gap between predatory and prestigious journals.
You Don’t Know Jack about Bandwidth
Fixes to IP networking help ISPs and other companies make better use of their bandwidth.
Toward Effective AI Support for Developers
Insights into the opportunities and concerns that developers have with using AI in their work.
The Paradigm Shifts in Artificial Intelligence
To understand the state of the art of AI and where it is heading, it is important to track its scientific history.
Reevaluating Google’s Reinforcement Learning for IC Macro Placement
Crosschecked data indicates that the integrity of a 2021 paper in Nature by Mirhoseini, Goldie, et al. is substantially undermined, owing to errors in conduct, analysis, and reporting.
Human-Centered Cybersecurity Revisited: From Enemies to Partners
It is time to reconsider how we deal with the human factor in cybersecurity.
Directions of Technical Innovation for Regulatable AI Systems
What advances in AI systems are needed for them to be effectively regulated?
Technical Perspective: An Accessible Solution to Unlock Museums
The BentoMuseum introduces a novel interactive way for visitors to understand museum layouts before their visit.
BentoMuseum: 3D and Layered Interactive Museum Map for Blind Visitors
BentoMuseum is a layered, stackable, 3D museum map that makes complex structural information accessible by allowing explorations on a floor and between floors.
Technical Perspective: Machine Learning in Computer Security is Difficult to Fix
The study points out some common issues hindering the design of ML models for computer security and how to overcome them.
Pitfalls in Machine Learning for Computer Security
Generic pitfalls related to machine learning affect all security domains and can affect the entire machine learning workflow, weakening assumptions, conclusions, and lessons learned.
"We’ve been doing a lot more work with the cloud, because not every clinic or hospital is going to own a supercomputer."
