Technology can lead to improved education, but only if we move slow and do not break things.
Artificial Intelligence and Machine Learning
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Artificial Intelligence Across Company Borders
Enabling effective cross-company AI without data disclosure.
Declarative Machine Learning Systems
The future of machine learning will depend on it being in the hands of the rest of us.
Fifty Years of P vs. NP and the Possibility of the Impossible
Advances in algorithms, machine learning, and hardware can help tackle many NP-hard problems once thought impossible.
Developer tools that use a neural machine learning model to make predictions about previously unseen code.
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
Technical Perspective: Neural Radiance Fields Explode on the Scene
Neural volume rendering exploded onto the scene in 2020, triggered by "NeRF," the impressive paper by Ben Mildenhall et al., on Neural Radiance Fields.
Quenching the Flames: AI, Data Help Fight Global Wildfires
New technologies are being deployed to predict, monitor, and fight wildfires as their frequency and ferocity grow.
After decades of incentivizing the isolation of hardware, software, and algorithm development, the catalysts for closer collaboration are changing the paradigm.
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Smart Farming with technologies such as IoT, computer vision, and AI can improve agricultural efficiency, transparency, profitability, and equity for farmers in low-and middle-income countries.
AI-CHD: An AI-Based Framework for Cost-Effective Surgical Telementoring of Congenital Heart Disease
3D heart modeling and AI bring new cardiac surgery to remote and less-developed regions.
Computing is an endless frontier in which we have an unending supply of new problems to confront in the search for new solutions.
Seeking Out Camille, and Being Open to Others
Robin K. Hill on overcoming biases against alternative views, and Carlos Baquero on his search for the elusive Camille Noûs.
Errors and biases in artificial intelligence systems often reflect the data used to train them.
We don't experience program loops as blocks, started over, because time is one-way.
AI Education for Teens: Lifting the Hood on Data and Machine Learning
What are key ideas and intuitions foundational to AI that AI education in secondary schools should target? This blog post describes our approach to teaching AI and Machine Learning (AI/ML) to 13-15 year olds through situations/issues set in the context of cybersecurity in ways that "lift the hood" on how ML models are designed, how they they work, and the impact of human decisions in this process.
Safe AI in Education Needs You
Artificial intelligence is coming to your learners and will raise challenging issues that need experts like you. Learn how you can get involved in AI and Educational Policy.
Social media "influencers" use augmented reality filtering apps to appear more beautiful, together, and cool. Results may vary.
Qubit Devices Inch Toward Reality
Key questions and challenges remain, including how to scale qubit devices while reducing noise and errors to the point where the devices become useful.
AI+X Micro-Program Fosters Interdisciplinary Skills in China
The nature of artificial intelligence is interdisciplinary, and its power lies in augmenting its ability to accelerate research exponentially.
Chinese AI start-ups have moved away from noisy bubbles and landed in an investment boom.
The Practice of Speech and Language Processing in China
Several companies are trying push automatic speech recognition and other technologies past their current limitations.
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.
Learn More