Developers can now create an ACP-compatible weather DJ agent leveraging APIs and Galileo integration to provide weather information, clothing recommendations, and relevant YouTube videos while enabling monitoring and observability through metrics.
Meta's data center in Georgia disrupts the local community with water issues like low pressure and sediment, frequent power outages, and tremors from ongoing construction, causing significant inconvenience and concern among residents.
A groundbreaking Israeli AI model trained on global satellite data accurately predicts lightning-sparked wildfire ignition locations with over 90% precision, providing a crucial tool for targeted wildfire prevention amid escalating climate change risks.
AI's unprecedented growth sparks environmental concerns, prompting governments and organizations to implement mitigation strategies like renewable energy adoption and resource management to curb emissions, waste, and ethical implications.
An AI breakthrough called polySCOUT is accelerating the development of biodegradable plastics by using machine learning to predict chemical structures with desired properties, saving significant time compared to traditional trial-and-error methods and making eco-friendly alternatives more viable.
Groundbreaking AI analysis of high-resolution satellite data unveils the complex, anisotropic patterns of Antarctic ice flows, prompting the need to refine climate models for more accurate predictions of the ice sheet's future evolution.
The UK is funding innovative space tech projects that harness AI and satellite data to tackle global challenges like climate change and preserving cultural heritage sites, showcasing the nation's commitment to leveraging space solutions for a sustainable future.
An open-source AI ensemble combining object detection and species classification models, trained on over 65M images, revolutionizes wildlife monitoring by efficiently detecting and classifying species in camera trap images, minimizing human review effort.
Google unveils a $3M fund and an AI tool called SpeciesNet to accelerate nature-tech startups, supporting biodiversity conservation efforts by identifying animal species from camera trap photos and backing Brazilian nonprofits focused on reversing biodiversity loss, bioeconomy, and regenerative agriculture.
Evo 2, a groundbreaking AI tool, unlocks the secrets of nature's genetic code, enabling rapid protein discovery by virtually predicting the form and function of proteins encoded in the DNA of all living and extinct species, potentially revolutionizing biological research and accelerating scientific breakthroughs.