Many applications are surfacing for neural network systems, including reliable identification of diseases (for example, diabetic retinopathy, cancerous cells), situational awareness for self-driving cars, and a raft of other hard recognition and optimization problems.
Computing Applications
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How the Hippies Destroyed the Internet
Communism is the most famous 20th-century attempt to build market-free economies. It required coercion on a colossal scale. The Internet is the second major attempt to build a market-free economy, limited to information.
Today's programmers offer more valuable skills than simply being able to hack algorithms and make data structures, says Yegor Bugayenko.
Bringing the Internet to the (Developing) World
A growing number of low-cost (and free!) solutions aim to open the Internet to developing regions.
Blockchain Revolution Without the Blockchain?
Most of the suggested benefits of blockchain technologies do not come from elements unique to the blockchain.
Open Source Professionals in Demand
An "increasingly open source world" needs specialists in Linux and other open source technologies.
"Citizen Developers" can create new applications via low-code development.
Smart Thermometers Improve Flu Forecasting
Connecting electronic thermometers to smartphones permits the capture of instant, anonymized fever readings as leading indicators of influenza outbreaks.
The world's largest navy explores the use of additive manufacturing for spare parts, with an eye toward eventually building ships that way.
Effectiveness of Anonymization in Double-Blind Review
Assessing the effectiveness of anonymization in the review process.
Privacy in Decentralized Cryptocurrencies
When it comes to anonymizing cryptocurrencies, one size most definitely does not fit all.
Deep Learning Hunts for Signals Among the Noise
Neural networks can deliver surprising, and sometimes unwanted, results.
Are technology companies maximizing profits by making users addicted to their products?
By focusing on users' abilities rather than disabilities, designers can create interactive systems better matched to those abilities.
Bias in Web data and use taints the algorithms behind Web-based applications, delivering equally biased results.
Identifying Patterns in Medical Records through Latent Semantic Analysis
Text analysis can reveal patterns of association among medical terms and medical codes.
Designing Cluster Schedulers for Internet-Scale Services
Embracing failures for improving availability.
Technical Perspective: Measuring Optimization Potential with Coz
In "Coz: Finding Code that Counts with Causal Profiling," Curtsinger and Berger describe causal profiling, which tell programmers exactly how much speed-up bang to expect for their optimization buck.
Coz: Finding Code that Counts with Causal Profiling
This paper introduces causal profiling. Unlike past profiling approaches, causal profiling indicates exactly where programmers should focus their optimization efforts, and quantifies their potential impact.
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Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
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