Nature

Tiny Machine Learning in Internet of Things Applications

Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...
Electronic Design

Can tinyML Bring Machine Learning to the Masses?

How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...
VentureBeat

Why TinyML is a giant opportunity

The world is about to get a whole lot smarter. As the new decade begins, we're hearing predictions on everything from fully remote workforces to quantum computing. However, one emerging trend is ...
Nature

Tiny Machine Learning in Edge Computing Systems

Tiny Machine Learning (TinyML) refers to the deployment of compact, energy-efficient machine learning models on resource-constrained devices at the network edge. By shifting data processing from ...
Electronic Design

What’s the Difference Between Machine Learning and TinyML?

How AI gave us ML, and, in turn, TinyML. How ML and TinyML are being used today. What may be on the horizon. Machine learning, a form of artificial intelligence, can trace its roots back to the late ...
Business Wire

Infineon further extends its edge AI capabilities and choice-of-platforms for Machine Learning-based models for Bluetooth customers by partnering with Edge Impulse

MUNICH--(BUSINESS WIRE)--Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) today announced it is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC™ ...
Nasdaq

Infineon Buys Swedish Tiny Machine Learning Firm Imagimob For Undisclosed Terms

(RTTNews) - Infineon Technologies AG (IFNNY), a German semiconductor company, Tuesday announced that it has acquired Stockholm-based startup Imagimob AB. Both parties have agreed not to disclose the ...
EDN

Application of machine learning in power management systems

Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...