Energy-Friendly Chip Could Boost Neural Networks

/ 2 years ago

Neural Networks

The quest to gain a greater insight into artificial Intelligence has been exciting and has also opened up a range of possibilities that have included “convolutional neural networks”, these are large visual networks of simple information-processing units which are loosely modelled on the anatomy of the human brain.

These networks are typically implemented using the more familiar graphics processing units (GPUs). A mobile GPU might have as many as 200 cores or processing units, this means that it is suited to “simulating a network of distributed processors”. Now, a further development in this area could lead to the potential for a specifically designed chip that has a sole purpose of implementing a neural network.

MIT researchers have presented the aforementioned chip at the “International Solid-State Circuits Conference in San Francisco”. The advantages of this chip include the notion that it is 10 times more efficient than an average mobile GPU, this could lead, in theory, to mobile devices being able to run powerful artificial intelligence algorithms locally, rather than relying on the cloud to process data.

The new chip, coined “Eyeriss” could, lead to the expansion of capabilities that includes the Internet of things, or put simply, where everything from a car to a cow, (yes apparently) would have sensors that are able to submit real-time data to networked servers. This would then open up horizons for artificial intelligence algorithms to make those important decisions.

Before I sign off I wanted to further delve into the workings of a neural network, the workings are that it is typically organised into layers, each of these layers contains a processing node. Data is then divided up among these nodes within the bottom layer, each node then manipulates the data it receives before passing it on to nodes within the next layer. This process is then repeated until “the output of the final layer yields the solution to a computational problem.” It is certainly fascinating and opens up a world of interesting avenues with which to explore, when you combine science and tech, the outcome is at the very least educational with the potential for it to be life changing.         .

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