News

EE World Online

AI-native chip with integrates 2 MB SRAM, Cortex-M4F CPU and analog sensor interfaces

Ambient Scientific has introduced the GPX10 Pro, a system-on-chip designed specifically for edge AI applications. The device ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Hackaday

Neural Networks: You’ve Got It So Easy

Neural networks are all the rage right now with increasing numbers of hackers, students, researchers, and businesses getting involved. The last resurgence was in the 80s and 90s, when there was little ...
VentureBeat

Google releases TF-GNN for creating graph neural networks in TensorFlow

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Semiconductor Engineering

Convolutional Neural Network (CNN)

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...
GeekWire

Google open-sources ‘TensorFlow’ machine learning system, offering its neural network to outside developers

You’ve likely used products shaped by Google’s machine learning system. The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...