AI

The Future Of AI: How Emotion AI Is Making Robots Smarter

Nastel Technologies®
July 17, 2019

You don’t have to be a sci-fi aficionado to dream about a future where robots are tasked with helping us stay safer, happier and healthier — and thanks to emotion artificial intelligence (AI), that future is closer than ever. Developers are making enormous progress as they further the effectiveness of artificial intelligence and discover how to make AI more relatable to humans.

The uses of emotionally intelligent artificial intelligence are nearly endless — from self-driving cars to medical robots that can help detect illnesses and provide patients with resources. As the CEO of a company working in the emotion AI space, I’d like to discuss the present and future of this exciting technology.

What is emotion AI?

Artificial emotional intelligence is a technology that detects the emotions of users from the subtle cues in users voices or faces and responds appropriately. This technology is in use for a variety of purposes already, including chatbots, marketing research and more. This area of AI development focuses on programming artificial intelligence that feels natural to communicate with and on improving the way machines integrate into our lives.

How is emotion AI being applied to make our world safer?

The advancement of technology should improve our lives, which is why the development of emotionally intelligent AI is so exciting. Around the world, developers are making groundbreaking developments in the use of AI to not only make our lives more convenient but also to increase our personal safety.

Thousands of people are injured or killed in auto accidents every year, and human error is one of the leading causes. Using artificial intelligence, it’s been possible to develop cars that make driving safer for humans — or even take over the process of driving completely. Autonomous cars are well on the way to being in use.

Using facial and voice analysis, emotion AI can monitor drivers for signs of distraction or fatigue and then respond by alerting drivers to their distraction, directing them to a safe place to rest or changing the cabin air temperature to increase wakefulness, among other things.

This article originally appeared on forbescom To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here.

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT and many more.

 

The Nastel i2M Platform provides:

  • Secure self-service configuration management with auditing for governance & compliance
  • Message management for Application Development, Test, & Support
  • Real-time performance monitoring, alerting, and remediation
  • Business transaction tracking and IT message tracing
  • AIOps and APM
  • Automation for CI/CD DevOps
  • Analytics for root cause analysis & Management Information (MI)
  • Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics

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