Computational breakthroughs poised to accelerate the fight against antimicrobial resistance
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 13-Dec-2025 18:11 ET (13-Dec-2025 23:11 GMT/UTC)
Abu Dhabi, United Arab Emirates – The United Arab Emirates has launched Abu Dhabi’s AI Ecosystem for Global Agricultural Development, a platform designed to bring AI solutions to climate-exposed agricultural regions and support the communities most affected by shifting weather patterns.
Researchers have managed to speed up a natural process that normally takes thousands of years, creating a lab “machine” to capture carbon dioxide. A new study shows how limestone, dolomite, and seawater can be used as a natural carbon absorption system and could help reduce emissions from power plants in the future. By running CO₂ and seawater through columns filled with these common rocks, the team demonstrated a controllable way to lock carbon safely in dissolved form, rather than letting it escape into the air. The system already works but currently captures only part of the CO₂, leaving clear room – and a clear roadmap – for engineering improvements toward a practical, nature-based carbon capture technology.
Meet the robotic dog with a memory like an elephant and the instincts of a seasoned first responder. Developed by Texas A&M University engineering students, this AI-powered robotic dog doesn’t just follow commands — it sees, remembers and thinks. Designed to navigate chaos with precision, the robot could revolutionize search-and-rescue missions, disaster response and many other emergency operations. With cutting-edge memory and voice-command capabilities, it’s not just a machine. It’s a game-changing partner — and the smartest dog around — in emergencies.
MUTE-Seq is a new liquid-biopsy method powered by an engineered ultra-precise CRISPR enzyme, FnCas9-AF2, which can distinguish single-base mismatches across all sgRNA positions with near-zero off-target activity. By selectively removing wild-type DNA before sequencing, it boosts true mutant signals up to tens of times and enables detection as low as ~0.005% VAF. The technique improves MRD monitoring and early-stage cancer detection while avoiding the need for costly ultra-deep sequencing.