Companies old and new, large and small, are working to establish themselves in the smart warehouse and distribution center market.
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Software Stories: Legal Trouble
Legal troubles represent another collection of potential pitfalls where developers often find themselves unprepared.
Technology can lead to improved education, but only if we move slow and do not break things.
How Computing Empowered Me to Tackle Big Problems in Medicine
What have I learned that might be helpful in preparing aspiring computer scientists to lead impactful and meaningful professional lives?
Is Higher Education an Engine of Opportunity, or a Perpetuator of Privilege?
Mark Guzdial considers the goals of computer science education and the role(s) of educators within that.
In highly regulated industries, it is critical that laws are translated precisely into code that reflects their intent.
Epic Versus Apple and the Future of App Stores
Seeking a more equitable way to govern and distribute the revenues generated by App-store marketplaces.
Addressing Algorithmic Discrimination
Considering the intersection of technical design and civil rights when building and using classification algorithms.
The Long Road Ahead to Transition to Post-Quantum Cryptography
Anticipating the output of the competition for new cryptographic algorithms.
Even If Users Do Not Read Security Directives, Their Behavior Is Not So Catastrophic
Turning believers into nonbelievers.
Artificial Intelligence Across Company Borders
Enabling effective cross-company AI without data disclosure.
The Growing Cost of Deep Learning for Source Code
Attempting to mitigate problems associated with the trend toward massive dataset scaling.
How Reliable Is Smartphone-Based Electronic Contact Tracing for COVID-19?
A look through the lens of neighbor discovery protocols reveals significant potential to improve electronic contact-tracing accuracy.
Delivering a Rapid Digital Response to the COVID-19 Pandemic
Lessons learned from South Korea's contact-tracing system.
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.
Eyelid Gestures for People with Motor Impairments
We present an algorithm to detect nine eyelid gestures on smartphones in real time and evaluate it with 12 able-bodied people and four people with severe motor impairments in two studies.
Technical Perspective: Eyelid Gestures Enhance Mobile Interaction
"Eyelid Gestures for People with Motor Impairments," by Mingming Fan et al., addresses the accessibility of mobile devices to people with motor impairments.
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.
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