Machine learning is compute-intensive and it turns out that traditional compute hardware is not well-suited for the task. In a presentation to the Hadoop Users Group UK in October, Graphcore CTO Simon ...

Semiconductor giant AMD acquired Brium, a stealth startup that helps optimize AI software for different hardware ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a ... journal Transactions of Machine Learning Research, in a paper ...

If you’ve looked into GPU-accelerated machine learning projects ... impressive results it can wring out of even the lowliest hardware. [Thanks to Ishan for the tip.] ...

GPUs can carry out certain highly parallel calculations much faster than Intel’s most powerful CPUs, and have been tipped as the perfect hardware companion for machine learning software. Today, most ...

Hover over this diagram to see how a neural turing machine shifts its attention over its old memory values to create new values. Unfortunately, while there are a plethora of conferences and journals ...

This means being aware of the data and the machine learning tasks at hand, while also being aware of the hardware the model will be deployed on. The DeciNets announced today are geared for image ...

hardware, artificial intelligence, and machine learning. If successful, Comcast stands as good a chance as any company to become a leading -- if not dominant -- platform to integrate smart home ...