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Therefore, she developed a solution to identify and support students who have experienced violence and bullying. She
and her mother teamed up to create ‘My Drawings Speak Up’, an app that utilizes machine learning to examine drawings
to determine if a child is experiencing violence.
(My Drawings Speak up: https://www.youtube.com/watch?v=hRTorWpfZsU)
Emotion Detector For Angry Players (Spain)
Have you noticed that while playing video games, your emotions run free? You most probably have become angry
and aggressive. A group of Spanish middle school boys who call themselves ‘Happy Llamas’ realized that even after
the game is over, the negative emotions they experience while playing video games continue to hurt their emotional
state. Therefore, they developed ‘Emotion Detector for Angry Players’, a mobile application that uses image gesture
recognition to indicate when players experience healthy (calm) or unhealthy (angry) emotions. When the app detects
any emotion, it notifies the player by displaying the shades between green (calm) and red (anger). This indicator helps
the players regulate their emotions while playing.
Waterguardian Bot (Spain)
“Just saving one life would be our precious reward”, claim a group of young students who have formed a group named
Pi 5. Two students of this group witnessed how a young family member drowned in a swimming pool. They were inspired
to create an app to prevent this tragedy from happening to other people. They developed ‘Scoutbot WaterGuardian’,
a wearable device and mobile application that warns adults when swimmers are unsafe in the water. The device is
connected to a swimmer’s cap with a built-in warning system. The students used image analysis algorithms and collected
data from people wearing the device underwater. Over time, they collected enough data for the device to learn and
determine when any child was in danger in the water.
Convnetquake
Now that artificial intelligence and big data have become more complex, we have the technology and data scientists
needed to study earthquakes at a deeper level. Thibaut Perol is a deep learning scientist who leads an AI project called
ConvNetQuake. The system uses machine learning algorithms to analyse seismograms to determine whether the seismic
activity is an earthquake or low noise. Testing in Oklahoma was successful. The number of earthquakes detected was 17
times better than when conventional methods were used. This makes ConvNetQuake the world's first neural network
that can detect earthquakes, even if they are weak earthquakes that cannot be captured by traditional methods.
Some other areas where AI continues to help are:
AI Improves Health Care
• Virtual doctors and therapists use AI to help offer diagnosis and treatment
advice for people who may not be able to see a doctor in person.
• Surgical robots using computer vision make it possible for doctors to
perform delicate medical procedures.
• Machine learning and sensors are used by Bionic limbs and exoskeletons to
read body position and terrain to improve mobility.
AI Values (Bias Awareness) 325

