DNA data storage: AI method speeds up data retrieval by 3,200 times

Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion.

Novel memristors to overcome AI’s ‘catastrophic forgetting’

So-called “memristors” consume extremely little power and behave similarly to brain cells. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components that offer significant advantages over previous versions: they are more robust, function across a wider voltage range, and can operate in both analog and digital modes. These properties could help …

Squirrel-inspired leaping robot can stick a landing on a branch

A leaping robot could have application in search and rescue, construction, even forest monitoring. But how do you design a robot to stick a landing on a branch or pipe? Biologists worked with robot designers to discover how squirrels do it, and used what they learned to design a one-legged robot with the balancing ability …