Edge computing is booming. The idea of taking compute out of the data center, and bringing it as close as possible to where data is generated, is seeing lots of traction. Estimates for edge computing ...
Back at the start of 2017, Arm announced its first batch of dedicated machine learning (ML) hardware. Under the name Project Trillium, the company unveiled a dedicated ML processor for products like ...
A new technical paper titled “A Survey on Machine Learning in Hardware Security” was published by researchers at TU Delft. “Hardware security is currently a very influential domain, where each year ...
As the war for creating customized AI hardware heats up, Google announced at Google I/O 2018 that is rolling out out its third generation of silicon, the Tensor Processor Unit 3.0. Google CEO Sundar ...
FPGAs or GPUs, that is the question. Since the popularity of using machine learning algorithms to extract and process the information from raw data, it has been a race between FPGA and GPU vendors to ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
Comcast: Can it be the smart home platform? Comcast used to know its customers largely as addresses, not people. Reimagining business for the digital age is the number-one priority for many of today's ...
Microsoft is busy prepping developers for the next big Windows 10 update, version 1803, and it is putting the focus on machine learning. Due in March or April this year, the new version will include a ...
From self-driving cars to the industrial Internet of Things, neural networks are reshaping the problem-solving methods of developers. Artificial-intelligence (AI) research covers a number of topics, ...
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