Eight uses of artificial intelligence in our daily life?

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Uses of artificial intelligence in our daily life?

With different applications of daily life, we are using machine learning and other techniques in the background. AI is everywhere and ranges from reading our emails to receiving driving directions to obtaining music or movie suggestions. AI and ML-powered software and devices created by the students of the best engineering college in Jaipur are duplicating human thought patterns to allow digital transformation of society. AI systems adopt their environment, deal with what they perceive, solve problems and perform tasks to make everyday life easier.

There are certain areas where AI plays an important role in helping humans with their everyday requirements:

Voice Assistants

Digital assistants like Google Home, Siri, and Alexa use AI-backed Voice User Interfaces (VUI) to process and decipher voice commands. AI provides freedom to the applications and leverage vast databases on cloud storage platforms. These applications can analyze thousands of lines of data per second to complete tasks and bring back tailored search engine results.

There is an extensive change in consumer awareness and an increase in comfort levels with this technology. Voice assistant interfaces are rapidly changing, especially finding use in healthcare to identify certain diseases via vocal biomarkers. Voice-based chatbots are also being integrated into telehealth applications for triage and screening by the students of top engineering college in Jaipur.

Entertainment Streaming Apps

Streaming giants like Spotify, Netflix, and Hulu are continually feeding data into machine learning algorithms to make the user experience. While looking at the user's interaction with various media, these streaming apps recommend custom content. Using AI to detect through the ever-increasing user data, these apps create catalogues of movies, music, and TV series suited to each individual user's liking.

AI also plays an important role in providing uninterrupted streaming by automating the collection of servers closest to the user. Also, Bandwidth allocation changes automatically as per the popularity of a specific piece of media.

Personalized Marketing

Brands use AI-driven personalization solutions as per the customer data to drive more engagement. A report by the students of engineering colleges Jaipur shows that 88% of consumers stated that more personalized content makes them feel better about a brand.

Consumers are more likely to make a purchase while directing products through personalized marketing via automated e-mails and feedback forms. Recent innovations with AI claim to use computer vision to show an advertisement’s performance, helping brands reach the right people and serve those who need those products. AI marketing apps allow both prospects and retargeted customers as per the marketing stage.

Smart Input Keyboards

The latest versions of mobile keyboard apps combine the provisions of autocorrection and language detection to offer a user-friendly experience. With the help of AI apps, students of private engineering colleges in Jaipur can efficiently correct mistakes, help switch between languages, and predict the next word in a non-intrusive manner. AI programmers are teaching these apps to understand the context of the message being typed and make right predictions.

Navigation and Travel

The work of AI programmers behind navigation apps like Google Maps and Waze are endless. Yottabytes of geographical data which is updated every second can only be effectively cross-checked by popular ML algorithms unleashed on satellite images.

Recently, researchers of top BTech college have developed a navigation model that tags road features in digital maps, all in real-time. Also, these digital maps are created simultaneously based on satellite imagery incorporating information about cycling lanes and parking spots. Imaging algorithms built on Convolutional Neural Networks (CNN) and Graph Neural Networks (GNN) have simplified continuous updates in routes. Also, AI helps ascertain routes on satellite images covered by natural overgrowth with the help of predictive models.

Gamified Therapy

AI had found a place in gaming from the time classics like Pac-Man and Pong were around for intuitive universe-building. However, innovations in gaming AI have focused on showing more interesting challenges to the gamer. Now, Gamified applications are being designed to gauge the gamer's mental fortitude in the face of certain defeat. This is helping to study methods to mitigate depression and anxiety in gamers and everyone in general.

Using Virtual Reality (VR) headsets, some of these gaming applications offers Cognitive Behavioral Therapy (CBT) for enhanced engagement with the person. AI allow games to adapt to the user's behaviour based on examined stimuli as the game progresses.

Self-driving Vehicles

The technology of Autonomous Vehicle AI is witnessing large-scale innovation driven by corporate interest across the world. AI is making innovations beyond cruise-control and blind-spot detection to include autonomous capabilities.

Deep Reinforcement Learning (DRL) is a subset of machine learning. Professionals of best artificial intelligence college in Jaipur has applied teaching vehicles to operate independently. Path planning in the face of static and dynamic obstacles is being made possible via different predictive AI models. Predicting accurately when neighbouring vehicles will deviate and other such unforeseen events are being taken into account. Simultaneous Localization and Mapping (SLAM) is the technology that makes this possible with real-time orientation to surroundings through sensors.

Facial Recognition Technologies

Today, the most popular application of this technology is in the Face ID unlock feature in most of the flagship smartphone models. The biggest challenge faced by this technology is a huge concern around the racial and gender bias of its use in forensics. Generative Adversarial Neural Networks (GANN) are being applied to lower the margin of error in facial recognition software. Also, these neural networks are being trained to pinpoint the unethical use of Deep fake technology.

With this, various industries are developing AI software that picks up facial expressions to identify mood and intention. Emotion AI or Affective Computing is an emerging area of interest to attract customer experience.

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