News 2019
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Life Sciences - Computer Science - 07.01.2019 
Can artificial intelligence tell a polar bear from a can opener?
Science + Technology UCLA psychologists' experiments demonstrate severe limitations of 'deep learning' machines Stuart Wolpert How smart is the form of artificial intelligence known as deep learning computer networks, and how closely do these machines mimic the human brain? They have improved greatly in recent years, but still have a long way to go, a team of UCLA cognitive psychologists reports in the journal PLOS Computational Biology.
Earth Sciences - Computer Science - 03.01.2019 
Q&A: Creating a "Virtual Seismologist"
Understanding earthquakes is a challenging problem-not only because they are potentially dangerous but also because they are complicated phenomena that are difficult to study. Interpreting the massive, often convoluted data sets that are recorded by earthquake monitoring networks is a herculean task for seismologists, but the effort involved in producing accurate analyses could significantly improve the development of reliable earthquake early-warning systems.
Computer Science - Mathematics - 02.01.2019 
Customizing computer-aided design
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing. MIT researchers have devised a technique that "reverse engineers" complex 3-D computer-aided design (CAD) models, making them far easier for users to customize for manufacturing and 3-D printing applications.
Computer Science
Results 161 - 163 of 163.
Science + Technology UCLA psychologists' experiments demonstrate severe limitations of 'deep learning' machines Stuart Wolpert How smart is the form of artificial intelligence known as deep learning computer networks, and how closely do these machines mimic the human brain? They have improved greatly in recent years, but still have a long way to go, a team of UCLA cognitive psychologists reports in the journal PLOS Computational Biology.
Understanding earthquakes is a challenging problem-not only because they are potentially dangerous but also because they are complicated phenomena that are difficult to study. Interpreting the massive, often convoluted data sets that are recorded by earthquake monitoring networks is a herculean task for seismologists, but the effort involved in producing accurate analyses could significantly improve the development of reliable earthquake early-warning systems.
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing. MIT researchers have devised a technique that "reverse engineers" complex 3-D computer-aided design (CAD) models, making them far easier for users to customize for manufacturing and 3-D printing applications.
