Marvin Minsky, an American scientist who co-founded the Massachusetts Institute of Technology AI laboratory and was honored with the ACM A.M. Turing Award, passed away on Sunday, Jan. 24, 2016 at the age of 88.
Artificial Intelligence and Machine Learning
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The Need For Cognitive Computing
Companies get help digging the pearls of wisdom out of their big data.
Alphago Is Not the Solution to AI
Some of the discussion around this seems like giddy overstatement.
This paper looks at the problem of predicting category labels that mimic how human observers would name objects.
Deep or Shallow, NLP Is Breaking Out
Neural net advances improve computers' language ability in many fields.
Q&A: A Graphics and Hypertext Innovator
Andries van Dam on interfaces, interaction, and why he still teaches undergraduates.
ACM Moral Imperatives vs. Lethal Autonomous Weapons
I concur with Moshe Y. Vardi's Editor's Letter "On Lethal Autonomous Weapons" (Dec. 2015) but think the answer to his philosophical logjam is readily available in the "ACM Code of Ethics and Professional Conduct."
Technical Perspective: Taming the Name Game
In "Learning to Name Objects," the authors offer a method to determine a basic-level category name for an object in an image.
Self-Repair Techniques Point to Robots That Design Themselves
Robots are being taught to brainstorm alternatives when damaged.
In Memoriam: Marvin Minsky 1927-2016
A pioneer in artificial intelligence, Minsky's impact was enormous.
Algebraic Fingerprints For Faster Algorithms
Algorithmic solutions to tough computational problems are making an impressive comeback.
Technical Perspective: Enlisting the Power of the Crowd
An important contribution of "Answering Enumeration Queries with the Crowd" is the observation that by using the crowd for the collection of new data, we are departing from the classical closed word assumption, which underlies traditional database systems.
Answering Enumeration Queries with the Crowd
Hybrid human/computer database systems promise to greatly expand the usefulness of query processing by incorporating the crowd. Such systems raise many implementation questions. To address the issues, we develop statistical tools that enable users and systems developers to reason about query completeness.
Advances in non-volatile memory are changing the face of computing and ushering in a new era of efficiencies.
Computer understanding of images has improved rapidly, but true visual intelligence is still a long way off.
What About Statistical Relational Learning?
While Stuart Russell's review article "Unifying Logic and Probability" (July 2015) provided an excellent summary of a number of attempts to unify these two representations, it also gave an incomplete picture of the state of the art.
Technical Perspective: Paris Beyond Frommer’s
Can a computer automatically discover and tell us what makes Paris look so much like Paris? "What Makes Paris Look Like Paris?" offers a creative, inspiring new approach to discovering the visual style of a city like Paris.
What Makes Paris Look Like Paris?
Given a large repository of geo-tagged imagery, we seek to automatically find visual elements, for example windows, balconies, and street signs, that are most distinctive for a certain geo-spatial area, for example the city of Paris.
Digital maps can be engineered to adapt to a person's unique interests and experience in geographic space.
Connecting mathematical logic and computation, it ensures that some aspects of programming are absolute.
Challenges of Memory Management on Modern N-UMA Systems
Optimizing NUMA systems applications with Carrefour.
Inductive Programming Meets the Real World
Inductive programming can liberate users from performing tedious and repetitive tasks.
Technical Perspective: The Path to Light Transport
"Geometric Tools for Exploring Manifolds of Light Transport Paths" presents a technique to address the challenging problems of light transport.
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