Judge Weighs In on Chatbot’s Turing Test Performance
One of the Turing Test’s judges looks at the test, its results, and what they mean.
Artificial Intelligence and Machine Learning
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Leslie Lamport contributed to the theory and practice of building distributed computing systems that work as intended.
Implementing Distributed Shared Memory For Dynamic Networks
Atomically consistent memory services provide resiliency in dynamic settings.
Leslie Lamport on Byzantine generals, clocks, and other tools for reasoning about concurrent systems.
Neuromorphic Computing Gets Ready For the (Really) Big Time
A technology inspired by biological principles but 'steamrolled for decades' prepares to take off as Moore's Law approaches its long-anticipated end.
Technical Perspective: Motion Fields For Interactive Character Animation
The following paper effectively treats motion clips as a set of independent motion vectors. In their ensemble, these high-dimensional motion vectors define a motion field that governs how the state of a character evolves over time.
Motion Fields For Interactive Character Locomotion
We propose a novel representation of motion data and control of virtual characters that gives highly agile responses to user input and allows a natural handling of arbitrary external disturbances.
Don’t Settle For Eventual Consistency
Stronger properties for low-latency geo-replicated storage.
How Computers Are Changing Biology
Sophisticated computer models and simulations are replacing test tubes and beakers. This revolution in biology research is redefining medicine, agriculture, and more.
Understanding the Empirical Hardness of NP-Complete Problems
Using machine learning to predict algorithm runtime.
Tom Kilburn: A Tale of Five Computers
Reflections on a British computer engineer who influenced several important machines, including the first stored-program computer.
Is Multicore Hardware For General-Purpose Parallel Processing Broken?
The current generation of general-purpose multicore hardware must be fixed to support more application domains and to allow cost-effective parallel programming.
With the help of computational proof assistants, formal verification could become the new standard for rigor in mathematics.
Security and Privacy For Augmented Reality Systems
AR systems pose potential security concerns that should be addressed before the systems become widespread.
Bounded Biharmonic Weights For Real-Time Deformation
Changing an object's shape is a basic operation in computer graphics. Our goal is to make the design and control of deformations simpler by allowing the user to work freely with the most convenient combination of handle types.
Technical Perspective: A ‘Reasonable’ Solution to Deformation Methods
Jacobson et al. construct a deformation method that allows a wide range of handle types (points, line segments, open and closed polygons) and produces deformations that are biharmonic functions.
Using Patient Data For Personalized Cancer Treatments
Patient information databases eventually will help improve health outcomes and support development of new therapies.
Speech-to-Speech Translations Stutter, But Researchers See Mellifluous Future
The practical need for accurate instant or simultaneous machine translations continues to grow as applications multiply.
New Models in Cosmetics Replacing Animal Testing
A European law spurs scientists to develop computational simulations capable of predicting the toxicity of cosmetics.
New Focus For Robotics: Artificial Creativity
The founding director of the Center for Music Technology at Georgia Tech is exploring how creative robots can be.
Brainy Computer Chip Ditches Digital For Analog
Part of the European Human Brain Project aims to mimic the brain for better computing.
Researcher Michael Cook thinks his ANGELINA software can design a video game—and that's not all.
Every time I see calendar dates like 2014, I feel as if I have been transported by time machine into the future. Isaac Asimov made some remarkably astute projections about 2014 in 1964, so what might he say today?
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