Is AI Security Work Best Done In Academia or Industry? Part 2
Academia benefits from the flow of fresh talent, a pristine stream that is seemingly magically, continually replenished.
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Malicious AI Models Undermine Software Supply-Chain Security
Trusted repositories, cryptographic validation, and controlled access can help organizations mitigate risks associated with malicious AI models.
The creative and practical scope of LLMs is undergoing a dramatic expansion.
AI tools now support the entire software development lifecycle, from drafting to debugging.
How AI measures up to the human motivation to experiment, break boundaries, or create something new.
Students in Advanced Computational Fields Are Accelerated Early Adapters of Generative AI Technology
The adoption rate and use intensity of GenAI tools by advanced computational students are higher than those of other STEM students.
We need people who understand not just technology, but also law, policy, ethics, and all in an international context.
Practical Applications of AI Agents
Decision-capable AI agents operate within bounds, learn from data, and escalate to humans when needed.
Who is Liable When AI Goes Wrong?
Increasingly capable generative AI tools have created a gap between the technology's power and what many users understand about the legal liabilities of its use.
It turns out your mental state when writing code or solving a problem often has a bearing on the solution.
Towards a Better CS Conference Experience
Again and again you see speakers reading a prepared text in a monotonous tone. Come on, you can do better.
A Growing Concern in Cybersecurity
A proactive, continuous approach to cybersecurity is key to protecting systems from the evolving threat of zero-day exploits.
Is AI Security Work Best Done In Academia or Industry? Part 1
Many groundbreaking advances in AI research are coming from industry; the source for AI security advances is less clear.
Generated data that starts forgetting tail events can lead to a concentration of higher probability distributions, which causes a model to fail.
Space-based datacenters would reduce the need for water, electricity, and other earth-based resources.
A Case for Pragmatic Engineering Leadership
Leaders and team members should focus on solving genuine problems with validated objective evidence, not the latest hype.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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