Graphcore is betting that hardware purpose-built for machine learning is the way to go. By designing a new class of processor – what they call the Intelligence Processing Unit (IPU) – machine learning ...

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's ...

New machine learning processor Despite the new dedicated machine learning hardware announcements with Project Trillium, Arm remains dedicated to supporting these type of tasks on its CPUs and GPUs ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

AI for everyone Why Google believes machine learning is its future We heard so much about machine learning at Google I/O this year. Timothy B. Lee – May 10, 2019 12:15 PM | 122 ...

Our contributions include classification and introduction to the relevant fields of machine learning, a comprehensive and critical overview of machine learning usage in hardware security, and an ...

Silicon vendor Nvidia is set to release a data center platform built specifically to accelerate machine learning workloads. Initially, it will consist of software tools collected under the Nvidia ...

Right-sizing hardware to balance performance, power consumption, and cost enables machine learning to run on resource-constrained platforms. Why it’s important not to over-engineer. Equipped ...

Comcast may emerge as a key smart home platform player. Here's a look at Comcast's digital transformation playbook, which includes DevOps, AI, and machine learning, voice and user interface, and ...

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 ...