With or without new leading-edge microprocessors, the demand for faster compute, bigger storage and speedier networks continues to grow. As this year’s conference will show, the industry keeps coming up with new ways to deliver.
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After a remarkable run for the semiconductor industry, this year's show marks the start of what is likely to be a pivotal year. Here's what I'll be looking for in Las Vegas.
Emerald's little wireless box that can monitor movement and physiological signs wirelessly even through walls was just one of several medical innovations at this year's conference.
Move fast and break things doesn't work so well on the factory floor. Startup Veo Robotics is trying a different approach, using tested technologies to add perception to existing industrial robots.
A start-up accelerator founded at MIT is working to make sure that the innovative work being done at universities makes it out of the lab.
We have lot of AI technologies, but no real artificial intelligence. MIT's Josh Tenenbaum leads a moonshot effort to close this gap by reverse engineering how children learn.
As data gets bigger and models grow larger, deep learning is once again "completely gated by hardware." At the VLSI Symposia, Nvidia suggested some ways to address this problem.
At the VLSI Symposia, Samsung gave the first detailed look at its 7nm platform, which is likely to be the first chipmaking process to use a new form of lithography that has been in the works for decades.
Both DRAM and flash memory pose plenty of technology challenges. At the VLSI Symposia, Micron explained how it has overcome these hurdles and why customers will continue to demand larger and faster memory.
Facebook's products and services are powered by machine learning. Powerful GPUs have been one of the key enablers, but it takes a lot more hardware and software to serve billions of users.