CBCL-FM

CBCL-FM is a Canadian radio station. It is the CBC Radio One station in London, Ontario, broadcasting at 93.5 FM.

Local programming

CBCL has its own local news bureau, but presently all programming apart from regional news updates comes from the CBC Toronto and Windsor studios.

History

The station was launched in 1978. Prior to its launch, CBC Radio programming was aired on private affiliate CFPL 980 in the AM band. CBCL started out as a rebroadcaster of CBL 740 Toronto, but was granted a separate licence in 1998 and began producing a limited amount of local programming. From 1998-2004 it produced its own local newscasts which aired during Ontario Morning, separately from regional news heard on all other stations airing Ontario Morning. The two news feeds were merged in 2004. Regional news originating from London is hosted by Gary Ennet or Kerry McKee.

In September 2011, the CBC announced plans to expand CBCL's local programming for the London area beginning in 2012. Specific programming details have yet to be confirmed.

CBCL

CBCL may refer to:

CBCL (MIT)

The Center for Biological & Computational Learning is a research lab at the Massachusetts Institute of Technology.

CBCL was established in 1992 with support from the National Science Foundation. It is based in the Department of Brain & Cognitive Sciences at MIT, and is associated with the McGovern Institute for Brain Research, and the MIT Computer Science and Artificial Intelligence Laboratory.

It was founded with the belief that learning is at the very core of the problem of intelligence, both biological and artificial. Learning is thus the gateway to understanding how the human brain works and for making intelligent machines. CBCL studies the problem of learning within a multidisciplinary approach. Its main goal is to nurture serious research on the mathematics, the engineering and the neuroscience of learning.

Research is focused on the problem of learning in theory, engineering applications, and neuroscience.

In computational neuroscience, the center has developed a model of the ventral stream in the visual cortex which accounts for much of the physiological data, and psychophysical experiments in difficult object recognition tasks. The model performs at the level of the best computer vision systems.