Advances in chatbots are changing the way we interact with computing devices.
Artificial Intelligence and Machine Learning
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Reaching New Heights with Artificial Neural Networks
ACM A.M. Turing Award recipients Yoshua Bengio, Geoffrey Hinton, and Yann LeCun on the promise of neural networks, the need for new paradigms, and the concept of making technology accessible to all.
Yoshua Bengio, Geoffrey Hinton, and Yann LeCun this month will receive the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
Lifelong Learning in Artificial Neural Networks
New methods enable systems to rapidly, continuously adapt.
Research for Practice: Troubling Trends in Machine-Learning Scholarship
Some ML papers suffer from flaws that could mislead the public and stymie future research.
The Challenge of Crafting Intelligible Intelligence
To trust the behavior of complex AI algorithms, especially in mission-critical settings, they must be made intelligible.
Yet patent attorneys fear the darker consequences of artificial intelligence.
Is the Trolley Problem Useful for Studying Autonomous Vehicles?
Does the trolley problem offer any useful insights for autonomous vehicles, in terms of design of or public policy around these systems? Here are several reasons why it is not useful, and what are some more useful values-based questions to ask.
Technical Perspective: Compressing Matrices for Large-Scale Machine Learning
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning via Compressed Linear Algebra" seeks to address many of these challenges by applying database ideas.
Compressed Linear Algebra for Declarative Large-Scale Machine Learning
General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce Compressed Linear Algebra for lossless matrix compression.
Quantum Hype and Quantum Skepticism
The beauty of classical computing is that developing algorithms is incredibly easy. In contrast, in more than 25 years of intense research on quantum computing, only a few dozen algorithms have been developed.
Implementing Guidelines for Governance, Oversight of AI, and Automation
Governance and independent oversight on the design and implementation of all forms of artificial intelligence and automation is a cresting wave about to break comprehensively on the field of IT and computing.
Pondering Variables and Direct Instruction
Robin K. Hill considers the nature of variables, while Mark Guzdial reflects on renewed interest in the "direct instruction model."
Soft Robots Look to New Environments
These non-standard automatons appear best suited for applications under water and in space.
Neural Algorithms and Computing Beyond Moore’s Law
Advances in neurotechnologies are reigniting opportunities to bring neural computation insights into broader computing applications.
Toward a European Exascale Ecosystem: The EuroHPC Joint Undertaking
European supercomputing infrastructures represent a strategic resource for understanding and responding to the increasing challenges European citizens will face in the years to come.
Connected Things Connecting Europe
Modern embedded system microcontroller and transceiver technology advancements have brought forth the kinds of systems we have defined for some time in Europe as "embedded intelligence."
Research for Practice: Edge Computing
Scaling resources within multiple administrative domains.
Ethics discussions of artificial intelligence reveal a fallacy of omission.
Human Resources departments are taking advantage of the workforce management capabilities provided by artificial intelligence.
Wearable mobile machines integrate people and machines to assist the movement-impaired, and amplify the capabilities of industrial and defense workers while protecting them from injury.
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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