While much of the attention surrounding the growth of artificial intelligence has centered on software development and building models, the engine driving AI is still hardware in the form of compute, ...
We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
OpenAI's hardware chief warns future AI models need real-time hardware kill switches Richard Ho highlights networking, memory, and power challenges in scaling infrastructure He calls for benchmarks, ...
As manufacturers steer towards a future defined by more predictive operations, real-time insights and greater intelligence in automation, the quality and performance of industrial networks is becoming ...
The U.K. Government’s recent pledge of over £500 million ($897 million) toward quantum computing signals a serious intent to become a global leader in next-generation digital infrastructure. But ...
(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...
In the 2010s, the startup landscape was dominated by SaaS—software companies that promised to disrupt industries with scalable, cloud-based solutions. Venture capital dollars flowed into these ...
Connectivity has been a game-changer in the asset tracking landscape. Personal devices, pets, vehicles, international packages, or any asset can all easily be tracked through the cloud. It’s opened ...
Though Juniper Networks is in the process of being acquired by HPE, the company's product innovation is still going strong. Complementing Marvis is new hardware built for AI workloads. Juniper is also ...
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