Categories: AI/ML News

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.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Open source CRT animation lora for ltx 2.3

None of the video gen models do a real CRT terminal animation look. Weights +…

18 hours ago

Getting Started with Zero-Shot Text Classification

Zero-shot text classification is a way to label text without first training a classifier on…

18 hours ago

Gradient-based Planning for World Models at Longer Horizons

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon…

18 hours ago

What Do Your Logits Know? (The Answer May Surprise You!)

Recent work has shown that probing model internals can reveal a wealth of information not…

18 hours ago

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

As the demand for generative AI continues to grow, developers and enterprises seek more flexible,…

18 hours ago

A Humanoid Robot Set a Half-Marathon Record in China

An autonomous robot from the company Honor ran a half marathon in 50:26, beating the…

19 hours ago