This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning models owe their initial success to large ...

We’ve gotten to the point where a $35 Raspberry Pi can be a reasonable alternative to a traditional desktop or laptop, and microcontrollers in the Arduino ecosystem are getting powerful enough to ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Machine learning (ML) has progressively moved from the cloud to edge computing to reduce latency in decision-making, lower power consumption, and decrease the dependence on network connections, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

TinyML is the latest from the world of deep learning and artificial intelligence. It brings the capability to run machine learning models in a ubiquitous microcontroller - the smallest electronic chip ...

*** All content in this blog provided by Davis Sawyer, Co-founder & CPO at Deeplite.ai *** The emergence of AI and deep learning on embedded devices and platforms has created opportunities for ...

Going from a microcontroller blinking an LED, to one that blinks the LED using voice commands based on a data set that you trained on a neural net work is a “now draw the rest of the owl” problem.

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 ...

CTO of OLX, the largest customer-to-customer resell platform in Indonesia, Rendra Toro is an Intel® Software Innovator interested in Internet of Things and Machine Learning. With a lifelong interest ...