CMSIS-NN is an open-source library of optimized software kernels that maximize NN performance on Cortex-M cores with minimal memory footprint overhead.
Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing Neural Network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. CMSIS-NN is an open-source library of optimized software kernels that maximize NN performance on Cortex-M cores with minimal memory footprint overhead.
Click here to continue reading.
An upbeat industry at the start of the year met one of its biggest challenges, but instead of being a headwind, it quickly turned into a tailwind.
The backbone of computing architecture for 75 years is being supplanted by more efficient, less general compute architectures.
The semiconductor industry will look and behave differently this year, and not just because of the pandemic.
More than $1.5B in funding for 26 startups; December was a big month for AI hardware.
The crunch to find skilled engineers goes fully global.
New data suggests that more chips are being forced to respin due to analog issues.
The backbone of computing architecture for 75 years is being supplanted by more efficient, less general compute architectures.
The number of options is increasing, but tooling and methodologies haven’t caught up.
Big investment in EV, batteries, and data center chips as 26 companies raise $2.6B.
Interconnects are becoming the limiter at advanced nodes.
Chips are hitting technical and economic obstacles, but that is barely slowing the rate of advancement in design size and complexity.
As implementations evolve to stay relevant, a new technology threatens to overtake SerDes.
Predicting the power or energy required to run an AI/ML algorithm is a complex task that requires accurate power models, none of which exist today.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
Leave a Reply