In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

Also, Neurophet has raised over $20 million for the development and global expansion of its AI-based brain imaging analysis ...

Hours before starving bacteria begin assembling into visible structures, a deep-learning system built at Rice University can ...

AI-based life detection systems are being considered for future missions to Mars and other planetary bodies, where they would analyze chemical and molecular data to identify potential biosignatures.

TECHNOLOGY & ENVIRONMENT |2By Joseph BORKETEYIn Part 1, we documented the devastating scale of Ghana’s galamsey crisis. Here is a summary of the key findings:Environmental collapse: Ghana lost ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

A surge in low-cost, mass-produced AI content is crowding out original work, straining discovery and monetization for ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

AI-based deep learning models can detect interstitial lung disease from lung ultrasound images in patients with systemic ...