Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to predict potentially harmful amine emissions from carbon-capturing plants.
Researchers from the University of Amsterdam, the University of Queensland and the Norwegian Institute for Water Research, have developed a strategy for assessing the toxicity of chemicals using machine learning.
We are currently far from achieving full autonomy for rescue robotic systems. Consequently, well-functioning collaboration between human and machine is crucial.
Musicians can perform together with LyricJam Sonic to explore connections between their live music and past recordings to generate new original compositions in real-time.
Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they?
Chemical engineers have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials.
A discussion of the significant legal scrutiny and numerous safeguards most workers’ data collection and processing activities would need to meet, as falling within the scope of high-risk AI systems.
Using satellite images from before a storm and real-time images, together with machine learning, to create a disaster monitoring system that can map damage.