SF Reading For Computer Scientists: Summer 2015
Summer reading recommendations for computer scientists, courtesy of the SIGCSE 2015 Using Science Fiction in CS Courses BOF.
Artificial Intelligence and Machine Learning
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Exascale Computing and Big Data
Scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics.
Low-Latency Distributed Applications in Finance
The finance industry has unique demands for low-latency distributed systems.
What a young AI learned following Alice through the looking glass . . .
Researchers and engineers are exploring ways to help Unmanned Aerial Vehicles choose to fly themselves, and to fly more safely.
Future Internets Escape the Simulator
Future Internet testbeds permit experiments not possible in today's public Net or commercial cloud services.
The growth of structural biology brings new challenges for the world's protein data archive.
Smartphone apps are driving changes in the way people park. Sensors, crowdsourcing, and big data are making it easier to find open parking spots.
Predictive Analytics Provides Powerful Benefits to Healthcare
Medical treatment is on the verge of a "radical transformation" thanks to statistical data analysis techniques that predict future outcomes.
In the 70 years since the end of World War II, AI has advanced enormously, and the military has continued to show a steady appetite for acquiring lethal robots.
Is ‘Good Enough’ Computing Good Enough?
The energy-accuracy trade-off in approximate computing.
Empowering smart machines with tactile feedback could lead to tremendous new applications.
Optimization as Motion Selection Principle in Robot Action
Robots move to act. While actions operate in a physical space, motions begin in a motor control space. So how do robots express actions in terms of motions?
Anyone with a collection of DVD or CD-ROM disks will appreciate that we cannot rely in the long term on specialized format devices being available. It is worth some effort to pay attention to the nature of these dependencies, their scope, and the potential side effects.
A new generation of autonomous robots will usher in changes in the hospitality industry and beyond.
Security Challenges For Medical Devices
Implantable devices, often dependent on software, save countless lives. But how secure are they?
Technical Perspective: The Specialization Trend in Computer Hardware
Specialization improves energy-efficiency in computing but only makes economic sense if there is significant demand. A balance can often be found by designing application-domain-specific components that have a degree of programmability. The work presented in "Convolution Engine" does just that.
Convolution Engine: Balancing Efficiency and Flexibility in Specialized Computing
We present the Convolution Engine (CE) — a programmable processor specialized for the convolution-like data-flow prevalent in computational photography, computer vision, and video processing.
The Arbitrariness of Reviews, and Advice For School Administrators
John Langford examines the results of the NIPS experiment, while Mark Guzdial considers the role of class size in teaching computer science.
How Amazon Web Services Uses Formal Methods
Engineers use TLA+ to prevent serious but subtle bugs from reaching production.
Shape the Future of Computing
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