Businesses already writing for TensorFlow, or building from scratch, stand to benefit most, while enterprises with legacy ...

This will also extend to the high-performance NeuPro-M NPUs, accelerating the development and deployment of smart edge ...

BrainChip AKD1500 is an ultra-efficient Edge AI co-processor delivering up to 800 GOPS while consuming just 300 mW of power, ...

AWS Professional Services is hiring a Data Scientist in India to develop AI and ML solutions using SparkML, TensorFlow, and PyTorch. Candidates should have 7+ y ...

The next generation of engineers and scientists is moving beyond conventional computing to master interdisciplinary fields.

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

The CNCF Tech Radar report concludes that cloud native infrastructure is no longer optional for AI and ML practitioners.

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

More and more companies are using AI or planning to use it. However, 95% of projects fail. The reasons for this are ...