Researchers have tapped reward-based reinforcement learning to teach robots to walk on diverse terrains, negotiate steps, and handle other motor functions.
Artificial Intelligence and Machine Learning
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Generative Artificial Intelligence Policies under the Microscope
CS conferences are increasingly adopting and sharing GenAI policies for authors, and guidelines for reviewers.
The term "hallucination" takes us away from understanding the value of GenAI connecting the things it is sure of with plausible but fantastical material.
Understanding the Environmental Impact of Generative AI Services
A methodology to assess the environmental impact of Stable Diffusion as an end-to-end service.
The Rise of the AI-Enabled Agentic Internet
Society is turning over major and minor decisions once made exclusively by humans to AI agents.
A Generative AI-Powered Digital Twin for Adaptive NASH Care
Conversational digital twins, built responsibly, represent the next frontier in preventive and participatory medicine.
How AI Raises the Bar for Developers
Programmers working in some problem areas in the future will likely need to develop and test most of their code manually, even as the majority adopt AI-enabled approaches.
They Can Include AI, But Should They?
Educators must help students learn not just to build with AI, but to determine if it belongs.
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.
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.
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.
Generated data that starts forgetting tail events can lead to a concentration of higher probability distributions, which causes a model to fail.
AI in the Era of Climate Change: Solution or Problem?
Will AI lead to a net increase or decrease in energy consumption, and what effect will that have on climate change?
From Prompt Engineering to Prompt Science with Humans in the Loop
Demonstrating how to have scientific rigor in developing a reliable prompt and getting a trustworthy response for a downstream application.
AI’s Next Leap: Agentic Intelligence
The evolution from simple LLM-powered assistants to systems with growing agentic capabilities marks a significant step towards more versatile and impactful AI.
Thoughts about Some Surprising AI-Era Technology Readiness Findings
Survey findings define the essence of risk in companies' business-technology plans and readiness.
Different presumptions underlie successive waves of AI research that claim intelligence via computation is within reach.
Shedding light on the future of programming in the age of generative AI.
Privacy, performance, and security benefits have everyone from academic computer scientists to technology giants racing to develop more efficient ways of pulling AI out of the cloud and closer to users.
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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