Smart Keyboards for Input
The most recent iterations of mobile keyboard apps combine language detection and auto correct features to offer a user-friendly experience.
These apps use artificial intelligence (AI) to effectively correct errors, assist with language switching, and predict the next word in a non-intrusive manner. These apps are being taught by AI programmers to comprehend the context of the message being typed and make precise predictions using the “random forest” machine learning algorithm.
Over 300 languages and dialects are now supported by apps like Typewise and Swiftkey. Recently, additional features like integrated search engines and real-time translation have also been introduced.
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Traveling and Navigating
The AI programmers who created Google Maps and Waze never stop working. Only ML algorithms unleashed on satellite images are capable of effectively cross-checking the yottabytes of geographic data that are updated every second.
A recent navigation model created by MIT researchers tags road features in digital maps in real-time. These digital maps are also produced concurrently using satellite imagery that includes data on parking spaces and bike lanes.
Routine updates in routes have been made simpler by imaging algorithms based on Graph Neural Networks (GNN) and Convolutional Neural Networks (CNN). With the aid of predictive models, AI also assists in locating routes on satellite images that are obscured by organic growth.
Since the advent of Pac-Man and Pong, AI has found a place in gaming for its intuitive universe-building. However, up until this point, advancements in gaming AI have concentrated on giving the player more engaging challenges rather than figuring out their mindset.
Applications that incorporate gaming are now being developed to test a player’s resilience in the face of certain defeat. This is assisting in the study of techniques to lessen anxiety and depression in gamers and people in general.
Some of these gaming programs offer Cognitive Behavioral Therapy (CBT) for improved engagement with the person using Virtual Reality (VR) headsets. As the game progresses, AI enables these games to adjust to the player’s behavior based on analyzed stimuli.
The autonomous vehicle technology Large-scale innovation in AI is being driven by global corporate interest. Beyond cruise control and blind spot detection, AI is advancing technology to enable fully autonomous vehicles.
Vehicle autonomy is being taught using Deep Reinforcement Learning (DRL), a branch of machine learning. Various predictive AI models are enabling path planning in the presence of static and moving obstacles.
Accurately predicting when nearby vehicles will swerve and other similar unforeseen events are taken into consideration. This is made possible by the technology known as Simultaneous Localization and Mapping (SLAM), which uses sensors to provide real-time orientation to the environment.