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subjectHuman Computer Interaction
authorCaltech News
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An edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.


What Do a Jellyfish, a Cat, a Snake, and an Astronaut Have in Common? Math
From ACM TechNews

What Do a Jellyfish, a Cat, a Snake, and an Astronaut Have in Common? Math

A new algorithm describes the various motions that help animals navigate their environments by changing their body shapes.

Wearable Sweat Sensor Detects Molecular Hallmark of Inflammation
From ACM TechNews

Wearable Sweat Sensor Detects Molecular Hallmark of Inflammation

A multi-institutional team of researchers created a wearable skin sensor that can detect the C-reactive protein inflammation biomarker in perspiration.

Wearable Sensor Detects Even More Compounds in Human Sweat
From ACM TechNews

Wearable Sensor Detects Even More Compounds in Human Sweat

A new wearable sensor can detect amino acids and certain vitamins in small amounts of human sweat.

Bipedal Robot Can Ride a Skateboard, Walk a Slackline
From ACM TechNews

Bipedal Robot Can Ride a Skateboard, Walk a Slackline

The bipedal LEgs ONboARD drOne (LEONARDO) robot combines walking with flying to perform nimble, complex movements.

Electronic Skin Powered by Sweat Can Monitor Health, Serve as Human-Machine Interface
From ACM TechNews

Electronic Skin Powered by Sweat Can Monitor Health, Serve as Human-Machine Interface

California Institute of Technology's Wei Gao has developed a perspiration-powered electronic skin twith embedded sensors to monitor the wearer’s vital signs.

AI for #MeToo: Training Algorithms to Spot Online Trolls
From ACM TechNews

AI for #MeToo: Training Algorithms to Spot Online Trolls

Researchers have demonstrated that machine learning algorithms can track evolving online social media conversations, which could eventually yield an automated method...

Test Tube Artificial Neural Network Recognizes 'Molecular Handwriting'
From ACM TechNews

Test Tube Artificial Neural Network Recognizes 'Molecular Handwriting'

California Institute of Technology researchers have developed an artificial neural network from DNA that can correctly identify handwritten numbers.
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