Looking for artificial intelligence that can share the basis for its decisions.
Artificial Intelligence and Machine Learning
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Seeding a Level Playing Field for ‘Dr. AI’
Algorithms must be trained on current health data to be useful.
Technical Perspective: Expressive Probabilistic Models and Scalable Method of Moments
The authors of "Learning Topic Models—Provably and Efficiently," developed a new method for fitting topic models and at large scale.
Building a Smart City: Lessons from Barcelona
Smart Internet-based infrastructure is one thing but will be ignored without the public's continuing engagement.
Lessons from Building Static Analysis Tools at Google
For a static analysis project to succeed, developers must feel they benefit from and enjoy using it.
Learning Topic Models – Provably and Efficiently
This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.
Chips for Artificial Intelligence
Companies are racing to develop hardware that more directly empowers deep learning.
Artificial (Emotional) Intelligence
Enabled by advances in computing power and neural networks, machines are getting better at recognizing and dealing with human emotions.
Earbud Translators: Not Perfect, Still Handy
Utility is high, even though the translations may be limited.
Scientists are simulating biological organisms and replicating evolution in the lab. How far can they expand the boundaries of virtual life?
If intelligent robots take on a larger role in our society, what basis will humans have for trusting them?
The developer of convolutional neural networks looks at their impact, today and in the long run.
Can Neuroevolution Change Machine Learning?
Neuroevolution borrows techniques from natural evolution to push the boundaries of machine learning.
Did We Just Replace the ‘Knowledge Bottleneck’ With a ‘Data Bottleneck’?
In practice, it seems that avoiding the knowledge acquisition bottleneck has not resulted in any net gain.
Let’s Not Forget the ‘Science’ in ‘Computer Science’
There is a growing trend to treat very difficult problems in computer science as purely engineering problems where solutions are approximated using data-driven approaches. This is a harmful trend, and we should be reminded that computer science is, after all, a science and some balance shuld be maintained.
A Comprehensive Self-Driving Car Test
Every few years, I have to pass a test from the Department of Motor Vehicles to drive my car. Shouldn't a self-driving car be required to do the same thing?
Toward an Equation that Anticipates AI Risks
It is our darkest fears that actually protect us the most. Could AI intensify such fears to levels beyond what we already know?
Serverless computing lets businesses and application developers focus on the program they need to run, without worrying about the machine on which it runs, or the resources it requires.
Titus: Introducing Containers to the Netflix Cloud
Approaching container adoption in an already cloud-native infrastructure.
Who can say no to the hive mind's promise of cybernetic immortality, for free?
Cartoon Clinicians: Precursors of Virtual Therapy?
Soldiers in one study were more open with a virtual character about post-traumatic stress symptoms than with human doctors.
Autonomous Construction Vehicles Are Building the Future
Self-operated construction vehicles will gain traction long before self-driving cars.
Halide: Decoupling Algorithms from Schedules For High-Performance Image Processing
We propose a new programming language for image processing pipelines, called Halide, that separates the algorithm from its schedule.
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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