ComputerWorld AI·
“If you can’t measure it, you can’t fix it.” That’s a common saying in business, and it tends to be true. But what if the thing you want to fix is your employees’ attitudes? The AI revolution makes it possible to measure emotions and mental states. So why not use it widely and fix what’s broken? That’s the idea behind emotion AI, which is also called “affective computing,” “sentiment analysis,” or “algorithmic affect management.” The idea is to use sensors and AI to detect, interpret, classify, and act upon human emotions in the workplace. Thanks to improvements and breakthroughs in a wide range of technologies (including computer vision, natural language processing, speech and voice analysis, biometrics, machine learning and deep learning, and edge computing hardware) emotion AI is now possible. Many companies have come forward to provide ready-to-use solutions for emotional AI apps, including Cogito, Affectiva, Hume AI, Entropik, and HireVue. The idea is simple: Collect data fro
Read full articleHow to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification The post Learning Word Vectors for Sentiment Analysis: A Python Reproduction appeared first on Towards Data Science.
Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […] The post Physical AI raises governance questions for autonomous systems appeared first on AI News.
Danish startup Sapient Perception secured €2M from Balnord and FORWARD.one to develop 10K sensors for defense and security UAV operations.
