Photo caption: This confocal micrograph shows wheat stigma (green) infected with Claviceps fungus (yellow). Fernan Federici, Anna Gordon
"We’re also seeing significant gains from something called “multitask deep learning,” in which a system trained simultaneously to detect lane markings, cars, and pedestrians does better than three…Read More
The paper, “A solution to the single-question crowd wisdom problem,” is being published today in Nature. The authors are Prelec; John McCoy, a doctoral student in the MIT Department of Brain and Cognitive…Read More
"The system is powered by two neural networks: a vision network and an imitation network.
The vision network ingests an image from the robot’s camera and outputs state representing the positions of the…Read More
"There is also a deeper message laid bare within our futurist projections. Our notions about the emergence of intelligent machines expose our fantasies (often unspoken) about what perfection is: not soft and biological,…Read More
Neural networks are powerful and flexible models that work well for many difficult learning tasks in image, speech and natural language understanding. However, designing these networks is difficult and time intensive.…Read More
The field of Information Retrieval actively explores ways to allow users to more efficiently find, navigate and consume online discussions, there is a lack of shared datasets to aid in understanding these discussions…Read More
