Happy Sunday and welcome to the weekend edition of InsideAI! I'm Rob May, CEO of Talla. We recently launched a very cool "learning dashboard" for our customer support automation product that you should read about if you find AI UX interesting. This week we have Q&A with the founder of Unanimous.ai, a "swarm AI" company. Scroll on down to learn more.
But first, lets start with the most popular articles of the week from the daily version of InsideAI:
Intelligent surveillance is being installed in schools around this country. Schools are experimenting with technology including facial recognition, license plate readers, audio gunshot detection, and patrol robots. In Broward County, Florida, where the Parkland school shooting occurred, there are now more than 12,500 cameras in schools and $11 million was spent on cameras last year. The school district is planning to spend another $600,000 on next-generation surveillance. Such surveillance is concerning to students, teachers, and privacy advocates. — AXIOS
Japan's Henn-na Hotel chain is decommissioning many of its AI robots because of maintenance issues and complaints from guests. Robots that act as front-desk workers, cleaners, porters, and in-room assistants are being replaced by traditional human staff. Dinosaur and humanoid bots at the front desk were unable to respond to certain guest questions, robot luggage carriers malfunctioned when wet and were not able to reach all the hotel rooms, and the in-room voice assistant "Churi" could not understand some accents. According to one guest, Churi thought his snoring was a command and kept waking him up by asking him to repeat his request. — SOUTH CHINA MORNING POST
Facebook AI Research (FAIR) director Yann Lecun and a team of NYU researchers are proposing a new method for training autonomous vehicles. Conventional reinforcement learning frameworks use traffic data and vehicles navigate in a digital replica of the real world, but when the training data doesn't include certain scenarios, problems can occur. The new method doesn't just reward and penalize driving behavior, it also has penalties when a vehicle strays into a situation where there is not enough training data. The effect is that the vehicle approaches new situations more cautiously. — TECHNOLOGY REVIEW
Researchers at the University of Science and Technology of China in Hefei developed an AI system that can recognize a person's emotional state. The system uses audio processing algorithms that rely on speech spectrograms (visual representations of sound frequencies) as well as a series of face recognition networks. The model was trained on 653 video-audio clips from the AFEW8.0 television and film database. The research is published in the arXiv online repository. — VENTUREBEAT