aka various artists’ makeup/hair/fashion ensembles designed to prevent facial detection software from identifying you; although before you go out and copy these, they might not work anymore.

sources: CV Dazzle; Leo Selvaggio; Grigory Bakunov; Adam Harvey; Japan’s National Institute of Informatics. credit for suggestion: bruno (you too can suggest a post!)

ARIES:

TAURUS: Does not need it; their anti-face detection strategy is never leaving the house

GEMINI:

CANCER:

LEO:

VIRGO:

LIBRA:

SCORPIO:

SAGITTARIUS:

CAPRICORN:

AQUARIUS:

PISCES:

Artificial Intelligence (AI) has transformed various facets of our lives, revolutionizing industries and everyday tasks. One prominent example is AI-powered virtual assistants like Siri and Alexa, which utilize natural language processing to interpret and respond to user commands, making tasks like setting reminders and searching the web effortlessly.

AI also plays a pivotal role in healthcare, where machine learning algorithms analyze vast datasets to diagnose diseases with greater accuracy than traditional methods. Radiology is significantly enhanced with AI systems that can detect abnormalities in medical images, aiding physicians in making informed decisions swiftly.

Here is a list of eight examples of artificial intelligence that you’re likely to come across daily.

Maps and Navigation

Artificial Intelligence (AI) has become integral to our daily lives, revolutionizing numerous industries and everyday tasks. One significant example is navigation apps like Google Maps and Apple Maps, which utilize AI to optimize routes, predict traffic, and offer real-time updates based on user behavior and external conditions.

Facial Detection and Recognition

Facial detection and recognition technologies, another AI application, are now common place. They enable features such as face unlock on smartphones and enhance security systems by identifying individuals in surveillance footage or at airport checkpoints.

Text Editors or Autocorrect

AI-driven text editors and autocorrect tools like Grammarly assist users in writing by detecting grammar mistakes, suggesting corrections, and enhancing overall language accuracy. These tools use machine learning to understand language patterns and improve over time based on user interactions.

Search and Recommendation Algorithms

Search engines and recommendation algorithms exemplify AI's ability to personalize user experiences. By analyzing user data, these algorithms predict preferences and recommend products, movies, or music that align with individual interests, thereby enhancing user engagement and satisfaction. 

Chatbots

AI-powered chatbots have transformed customer service by handling routine inquiries, processing orders, and providing instant assistance. They utilize natural language processing (NLP) to understand and respond to user queries, adapting their responses based on previous interactions to improve customer satisfaction.

Digital Assistants

Digital assistants like Siri and Alexa exemplify AI's role in performing tasks via voice commands. They utilize NLP, machine learning, and statistical analysis to interpret commands and execute tasks such as calling contacts or scheduling appointments, thereby enhancing user convenience and multitasking capabilities.

Social Media

Social media platforms support AI for content moderation, ad targeting, and user engagement. AI algorithms monitor posts for policy violations, suggest connections, and deliver personalized advertisements based on user behavior, enhancing platform usability and revenue generation.

E-Payments

AI has also revolutionized e-payments by ensuring secure transactions, detecting fraudulent activities, and streamlining financial processes. Algorithms analyze transaction patterns to detect anomalies and alert users, ensuring financial security and enhancing user trust in digital transactions.

From the smile of a friend to the frown of a stranger, emotions are a fundamental part of human communication. The ability to recognize and interpret these emotions is crucial for building strong relationships and navigating social interactions. Emotional facial recognition is a complex process that allows us to identify and decode the emotional states of others based on their facial expressions. In recent years, advances in technology have led to the development of computer systems that can perform this task with remarkable accuracy.

The Science of Emotional Facial Recognition

Emotional facial recognition is a fascinating field that draws on research from various disciplines such as psychology, neuroscience, and computer science. The process of it involves the analysis of various facial features such as the shape of the mouth, position of the eyebrows, and movement of the eyes. This information is then used to decode the emotional state of the person, whether it be happiness, sadness, anger, or surprise.

Applications of Emotion Detection in AI

EnableX adds extended capabilities to its Communication platform

New Delhi, 11 August 2020: EnableX.io announced the expansion of its communications offerings from feature-rich Video and Voice APIs to include SMS, Chat, and Number APIs. Becoming one of the few Communication Platform-as-a-Service (CPaaS) providers in Asia with a full-stack offering, Singapore-headquartered EnableX.io aims to expand its presence & share in the global market with its platform.