After the 2014 failure of Google Glass, smart glasses seemed doomed to obscurity. However, a resurgence may be on the horizon, as companies like Meta and Google invest heavily in a new generation of smart glasses that blend fashion, functionality, and generative AI, according to Gene Munster, managing partner at Deepwater Asset Management.

Writing on the firm’s website, Munster explained the renewed optimism in smart glasses, stating that consumers are drawn to easy-to-use technology, and the advancements in generative AI are transforming these devices into a more attractive option. “Gen AI is paving the way toward complex wearable ambient computing,” he noted. This next iteration of smart glasses aims to look and feel like “normal glasses,” while incorporating generative AI, voice activation, cameras, and sensors for a seamless user experience.

In a groundbreaking advancement in artificial intelligence, Google is leveraging audio signals to detect the early symptoms of illness. Using 300 million audio samples—ranging from coughs to labored breathing—Google has trained its AI foundation model to recognize signs of diseases like tuberculosis. In collaboration with Salcit Technologies, an AI startup in India focused on respiratory healthcare, Google is working to integrate this technology into smartphones. This innovation has the potential to transform healthcare in high-risk, underserved communities by offering more accessible diagnostic tools.

Google has a history of digitizing human senses, and its venture into bioacoustics is an extension of that. Bioacoustics, which merges biology and acoustics, uses AI to interpret sounds made by humans and animals to gain medical insights. In this field, Google’s new AI model, HeAR (Health Acoustic Representations), stands at the forefront. This model utilizes sound signals to detect early signs of illness, offering a promising tool for early diagnosis.

A team of researchers has developed a swarm of self-coordinating drones designed to act as first responders in combating wildfires. This innovative solution, which combines cutting-edge AI, thermal, and optical imaging technology, was created by the University of Sheffield’s School of Electrical and Electronic Engineering to enhance early mitigation strategies for wildfires.

These AI-powered drones can autonomously detect, investigate, and relay information about fires to firefighting teams. By utilizing swarm technology developed at the University of Bristol, the drones can intelligently coordinate with one another to deploy fire retardants, monitor fire progression, and safely return to base. Dr. Lyudmila Mihaylova, Professor of Signal Processing and Control at the University of Sheffield, emphasized the importance of this breakthrough, saying, “Autonomous wildfire detection and localization, especially in remote and large geographic areas with hot weather, is a challenging task that current technology has not fully addressed.”