TEHRAN (ANA)- A new AI system developed by the MIT researchers could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
TEHRAN (ANA)- Swarms of iron-clad algae have been built by researchers at the Central European Institute of Technology (CEITEC) to sweep through bodies of water to collect elusive bits of micro- and nanoplastics.
TEHRAN (ANA)- PIGINet, developed by the MIT researchers, leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.
TEHRAN (ANA)- Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.
TEHRAN (ANA)- A team of University of Waterloo Engineering researchers, led by an Iranian scientist, created smart, advanced materials that will be the building blocks for a future generation of soft medical microrobots.
TEHRAN (ANA)- ‘PhotoGuard’, developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
TEHRAN (ANA)- Predictions from the OncoNPC model developed by the MIT researchers could enable doctors to choose targeted treatments for difficult-to-treat tumors.
TEHRAN (ANA)- A team at Shenyang Institute of Automation have taken inspiration from rock-climbing fish and developed an underwater robot with impressive adhesive capabilities which can cling onto surfaces with a force equivalent to 1,000 times its own weight.
TEHRAN (ANA)- The machine-learning method based on artificial intelligence developed by the MIT scientists works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.