Creating animated GIFs used to require downloading special software or using paid online services. Now ChatGPT offers a simple way to turn your images into moving ...

These IoT systems combine different pieces of technology to collect, communicate, and apply real-time data. Tools include devices equipped with sensors, wireless technologies like cellular ...

Here’s how it works. TensorFlow is an open source machine learning framework developed by Google, designed to build and train AI models for a wide range of applications. The tool is widely used ...

The Ambient IoT Alliance, a new alliance dedicated to developing and promoting a global internet of things ecosystem, launched today with an impressive lineup of members that includes Intel Corp ...

Now called LiteRT, TensorFlow Lite allows developers to deploy machine learning models on devices with limited computational resources, such as smartphones, tablets, and other IoT devices.

Google is rebranding TensorFlow Lite to LiteRT (as in “lite runtime”). This lets you deploy ML and AI models on Android, iOS, and embedded devices. Basically, for on-device AI at the Edge. Google ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown ...

Importantly, it provides support for AI frameworks such as TensorFlow Lite and PyTorch ... With the deployment of microprocessors into more high-performance IoT systems for use cases such as ...

Internet of Things (IoT) components are integral to next-generation satellites. Designed to optimize efficiency and enhance functionality, IoT satellite devices and systems provide better ...

It supports many industry-standard domain-specific ML frameworks, including TensorFlow, ONNX, PyTorch, Caffe2, TensorFlow Lite, MXNet, JAX and others for automated end-to-end code generation; Android ...

Today, technical advances such as lower power chips, better connectivity, and advanced artificial intelligence (AI) and machine learning (ML) are unlocking new Internet of Things (IoT) use cases.