While artificial intelligence (AI) advancements are often powered by massive GPUs in data centers, deployment of AI algorithms on edge devices requires a new generation of power- and cost-efficient AI ...

The exponential growth of data has fed artificial intelligence’s voracious appetite and led to its transformation from niche to omnipresent. An equally important aspect of this AI growth equation is ...

There is a growing demand for high-performance hardware accelerators in chips powering data centers that employ artificial intelligence technology in applications such as deep learning, image ...

OpenAI is hiring for a team to "co-design future hardware from different vendors for programmability and performance." In a job listing for the 'HW/SW Co-design Engineer,' the generative artificial ...

Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster versions of gaming graphics cards. The company’s AI accelerators strip away ...

While artificial intelligence (AI) advancements are often powered by massive GPUs in data centers, deployment of AI algorithms on edge devices requires a new generation of power- and cost-efficient AI ...

AI accelerators are gaining traction in high-performance electronics design, driven by the need for efficiency and hardware-level control.

A new technical paper titled “EigenEdge: Real-Time Software Execution at the Edge with RISC-V and Hardware Accelerators” was published by researchers at Columbia University. “We introduce a ...

Hardware/software co-design has been a goal for several decades, but success has been limited. More recently, progress has been made in optimizing a processor as well as the addition of accelerators ...