Haaretz.com
(Israel) (02/25/15) Inbal Orpaz
Intel Haifa researchers have developed a prototype mechanical eye that can read 300 labels of 300 items simultaneously and select the one the user is seeking. "There are endless uses for a computer able to analyze and understand a picture it takes," says Intel Haifa researcher Ofri Wechsler. "We want to put a small 'brain' in all these cameras to discard the 99 percent of the frames that are uninteresting and only send to the cloud or further analysis the few that contain something important worth looking at." Intel relies on deep-learning technology, part of a larger branch of scientific study called machine learning, which deals with developing computer systems that can learn autonomously. In deep learning, the computer needs to analyze without help from orders or conditions that a program previously defined. Wechsler says his work represents an evolution of computing ability, as well as a transition from an era in which humans learned to speak machine language to an era in which the machine learns to speak human language. "In the coming years, we'll see progress in the field of conceptual computerization and a transition to a language more natural for humans," Wechsler says.
Intel Haifa researchers have developed a prototype mechanical eye that can read 300 labels of 300 items simultaneously and select the one the user is seeking. "There are endless uses for a computer able to analyze and understand a picture it takes," says Intel Haifa researcher Ofri Wechsler. "We want to put a small 'brain' in all these cameras to discard the 99 percent of the frames that are uninteresting and only send to the cloud or further analysis the few that contain something important worth looking at." Intel relies on deep-learning technology, part of a larger branch of scientific study called machine learning, which deals with developing computer systems that can learn autonomously. In deep learning, the computer needs to analyze without help from orders or conditions that a program previously defined. Wechsler says his work represents an evolution of computing ability, as well as a transition from an era in which humans learned to speak machine language to an era in which the machine learns to speak human language. "In the coming years, we'll see progress in the field of conceptual computerization and a transition to a language more natural for humans," Wechsler says.
No comments:
Post a Comment